In this paper, we introduce the notions of extended filter and n-fold strongly integral filter (resp., pseudo-residuated lattice). We give the characterizations of n-fold filters by a extended filter. We construct a new logical system of a pseudo-residuated logic. Afterwards, we show that the classes of n-fold strongly integral (resp., boolean, implicative, fantastic, involutive, strong) pseudo-residuated lattices are subvarieties of the variety of all pseudo-residuated lattices. Finally, we give logics which have the above varieties as models and the connections among them.
The main domains of research and of application of the fuzzy logic are: Automation (production of the iron, purification of the water, chains of manufacture,...), Instrumentation (captors, instruments of measure, recognition of voice and of symbol,...), Judgment/conception (consultation, decision making, timetables of train,...), Intelligential processing (data bases, information looking-for, modeling of devices,...).
The origin of residuated lattices lies in Mathematical Logic. They have been investigated by Krull [16], Dilworth [6], Ward and Dilworth [21], Ward [22], Balbes and Dwinger [1] and Pavelka [17].
During relatively recent years, many algebras have been proposed as the semantical systems of logical systems. The connection with fuzzy logic was made and today we use it to speak about the algebra of fuzzy logic. In 1958, Chang introduced in [4] the notion of MV-algebras and in 1959 he proved in [3] the completeness theorem which stated the real unit interval [0 ;1] as a standard model of this logic. In 1998 BL-algebras (as commutative generalization of MV-algebra) was introduced in [10] by Hàjek in order to investigate many-valued logic by algebraic means. Haveshki’s and Eslami’s [7] introduced the notions of n-fold implicative basic logic and n-fold positive implicative basic logic. Later, Esko Turunen and al. in [18, 19] proved that n-fold implicative basic logic is Gödel logic and n-fold positive implicative basic logic is a fragment of Lukasiewicz logic. In [13] we introduce the notions of n-fold (Boolean, implicative, fantastic, involutive) pseudo-residuated lattices as new subvarieties of pseudo-residuated lattices. In this paper, we introduce the notions of n-fold (Boolean, implicative, fantastic, involutive, strong, strongly integral) logic and show that n-fold Boolean (resp., implicative, fantastic)logic are not Boolean (resp., Heyting, MV) logic. In [14], M. Kondo introduced the notion of extended filters in commutative residuated lattices. In this paper, we extend this notion to pseudo-residuated lattices and use it to give new characterizations of n-fold Boolean (resp., implicative, fantastic, involutive, strong, strongly integral) filters. The paper is organizes as follow: In Section 2, some basics concepts and properties are recalled. In Section 3, we study the notions of n-fold strongly integral filter, extended filter and give the characterizations of n-fold filters by extended filter. We also show that the classes of n-fold (strongly integral, boolean, implicative, fantastic, involutive, strong) pseudo-residuated lattices are new subvarieties of the variety of all pseudo-residuated lattices. In Section 4, we construct a new logical system of a pseudo-residuated logic and show that n-fold (strongly integral, boolean, implicative, fantastic, involutive, strong) pseudo-residuated lattices are the models of some axiomatic extensions of pseudo-residuated logic.
Preliminaries
In this section, we give some fundamental definitions and results. For more details, refer to the references.
A non-commutative residuated lattice or pseudo- residuated lattice is a non-empty set L with five binary operations ∧, ∨ , ⊗ , → , ⇝, and two constants 0, 1 satisfying: L-1: is a bounded lattice; L-2: (L, ⊗ , 1) is a monoid; L-3: x ⊗ y ≤ z iff x ≤ y → z iff y ≤ x ⇝ z (pseudo-Residuation). Recall that a non-empty subset F of A is called a filter if it satisfies: (F1): For every x, y ∈ F, x ⊗ y ∈ F; (F2): For every x, y ∈ L, if x ≤ y and x ∈ F, then y ∈ F.
It is clear that {1} and A are filters.
A filter H of L is called normal if for every x, y ∈ L, x → y ∈ F {ifandonlyif x ⇝ y ∈ F. We denote by Fn (L) the set of all normal filters of L.
Proposition 2.1. [5] If L is a pseudo-residuated lattice, the following hold for all x, y, z ∈ L.
x ≤ y iff x → y = 1 = x ⇝ y;
x → (y → z) = (x ⊗ y) → z ; (x ⊗ y) ⇝ z = y ⇝ (x ⇝ z) ; x → (y ⇝ z) = y ⇝ (x → z);
(y→ z) ⊗ (x → y) ≤ x → z ; (x ⇝ y) ⊗(y ⇝ z) ≤ x ⇝ z;
If x≤ y then : y → z ≤ x → z, y ⇝ z ≤x ⇝ z, z ⇝ x ≤ z ⇝ y, x ⊗ z ≤ y ⊗ z, and z → x ≤ z → y ;
1→ x = x = 1 ⇝ x ; x → x = 1 = x ⇝ x ; x → 1 =1 = x ⇝ 1 ; y ⇝ x ≥ x ≤ y → x;
;
x ⊗ (x ⇝ y) ≤ y ≤ x ⇝ (x ⊗ y) ; (x → y) ⊗ x ≤ x ≤ y → (x ⊗ y);
; ; ;
x ⊗ (y ∨ z) = (x ⊗ y) ∨ (x ⊗ z) ; (y ∨ z) ⊗ x = (y ⊗ x) ∨ (z ⊗ x);
x ∨ y ≤ ((x → y) ⇝ y) ∧ ((y → x) ⇝ x) ; x ∨ y ≤ ((x ⇝ y) → y) ∧ ((y ⇝ x) → x);
x → y ≤ (y → z) ⇝ (x → z) ; x ⇝ y ≤ (y ⇝ z) → (x ⇝ z);
y → x ≤ (z → y) → (z → x) ; y ⇝ x ≤ (z ⇝ y) ⇝ (z ⇝ x);
x ⊗ (x ⇝ y) ≤ x ∧ y; (x→ y) ⊗ x ≤ x ∧ y ; x ⊗ y ≤ x ∧ y;
x → y ≤ x ⊗ z → y ⊗ z; x ⇝ y ≤ z ⊗ x ⇝ z ⊗ y;
x → y ≤ x ⊗ z → y ⊗ z; (x ⇝ y) ⊗ (y ⇝ z ≤ x ⇝ z; (y → z) ⊗ (x → y) ≤ x → z;
(x ∧ y) ⊗ z ≤ (x ⊗ z) ∧ (y ⊗ z); z ⊗ (x ∧ y) ≤ (z ⊗ x) ∧ (z ⊗ y);
x → (x ∧ y) = x → y; x ⇝ (x ∧ y) = x ⇝ y.
Proposition 2.2. [5] Let ∅ ≠ F ⊆ L. The following conditions are equivalent:
(Ds1) F is a filter;
(Ds2) 1 ∈ F and for all x, y ∈ L, (x → y ∈ F {and x ∈ F) {implies y ∈ F;
(Ds3) 1 ∈ F and for all x, y ∈ L, (x ⇝ y ∈ F {and x ∈ F) {implies y ∈ F .
Lemma 2.3.[5] For all x, y ∈ L, we have x∨(y ⊗ z) ≥ (x ∨ y) ⊗ (x ∨ z). From this it follows that: (i) (x ∨ y) mn ≤ xn ∨ ym for all m, n ≥ 1; (ii) (x ∨ a1) ⊗ (x ∨ a2) . . . ⊗ (x ∨ an) ≤ x ∨ (a1 ⊗ a2 . . . ⊗ an) for all n ≥ 1 and a1, . . . , an ∈ L. (iii) If F is a filter then, x, y ∈ F if and only if x ⊗ y ∈ F if and only if x ∧ y ∈ F if and only if x ⊗ (x ⇝ y) ∈ F if and only if (x ⇝ y) ⊗ x ∈ F.
Lemma 2.4.[5] Let L be a pseudo-residuated lattice. (1) If F is a filter, then 〈F〉 = F. (2) If A ⊆ L, then 〈A〉 = {x ∈ L : a1 ⊗ a2 ⊗ . . . ⊗ an ≤ xforsomen ≥ 1 anda1, . . . , an ∈ A}. (3) 〈a〉 = {x ∈ L : an ≤ xforsomen ≥ 1}. (4) If F is a filter and x ∈ L, then 〈F ∪ {x} 〉= {u∈ L : (a1 ⊗ xn1) ⊗ (a2 ⊗ xn2) ⊗ (a3 ⊗ xn3) ⊗. . . ⊗ (am ⊗ xnm) ≤ uforsomem ≥ 1, n1, n2, n3, . . . nm ≥ 0 anda1, a2, . . . , an ∈ F}. (5) If F1 and F2 are are nonempty sets of L such that 1 ∈ F1 ∩ F2, then . (6) If F is a normal filter of L, then for all x ∈ L, we have: 〈F ∪ {x} 〉 = {y ∈ L : f ⊗ xn ≤ y, forsomen ≥ 1 andf ∈ F} = {y ∈ L : xn ⊗ f ≤ y, forsomen ≥ 1 andf ∈ F} = {y ∈ L : xn ⇝ y ∈ Fforsomen ≥ 1} = {y ∈ L : xn → y ∈ Fforsomen ≥ 1}.
Lemma 2.5.[5] For all x, y ∈ L, we have (i) F ∨ 〈 {x} 〉 = 〈F ∪ {x} 〉. (ii) If x ≤ y, then 〈y〉 ⊆ 〈x〉. (iii) 〈x〉 ∨ 〈y〉 = 〈x ∧ y〉 = 〈x ⊗ y〉 = 〈y ⊗ x〉. (iv) 〈x〉 ∩ 〈y〉 = 〈x ∨ y〉. (v) 〈x → y〉 ∨ 〈x〉 = 〈x ⇝ y〉 ∨ 〈x〉.
Lemma 2.6.[5] A filter F of L is prime iff for all filters A, B of L, A ∩ B ⊆ F implies A ⊆ F or B ⊆ F.
Definition 2.7. [13] A filter F of M is said to be • n-fold integral if for all x, y ∈ M, implies or and implies or •n-fold strong if for all x ∈ M, • n-fold fantastic if for all x, y ∈ M, ([(xn → y) ⇝ y] → (x ∨ y)) ∧ ([(xn ⇝ y) → y] ⇝ (x ∨ y)) ∈ F. • n-fold involutive (or n-fold IpRL filter) if , for each x ∈ M. • n-fold Boolean if for all x, y ∈ M, • n-fold implicative if for all x, y ∈ M, (xn → x2n) ∧ (xn ⇝ x2n) ∈ F. •prime if for every x, y ∈ L, x ∨ y ∈ F implies x ∈ F or y ∈ F.
Definition 2.8. [13] A residuated lattice M is said to be • n-fold integral if for all x, y ∈ M, (x ⊗ y) n = 0 implies xn = 0 or yn = 0. • n-fold strong if for all x ∈ M, . • n-fold fantastic if for all x, y ∈ M, ([(xn → y) ⇝ y] → (x ∨ y)) ∧ ([(xn ⇝ y) → y] ⇝ (x ∨ y)) =1. • n-fold involutive (or n-fold IpRL filter) if , for each x ∈ M. • n-fold Boolean if for all x, y ∈ M, • n-fold implicative if for all x, y ∈ M, xn → xn+1= 1.
Definition 2.9. Let L1 and L2 be two pseudo-residuated lattices. Then a map f : L1 → L2 is called a pseudo-residuated lattice homomorphism if it satisfies the following conditions:
f (0) =0;
For every x, y ∈ L1, f (x ⊗ y) = f (x) ⊗ f (y);
For every x, y ∈ L1, f (x → y) = f (x) → f (y);
For every x, y ∈ L1, f (x ⇝ y) = f (x) ⇝ f (y).
If f is bijective, the homomorphism f is called pseudo-residuated lattice isomorphism. In this case we write L1 ≅ L2.
Definition 2.10. Let F be a normal filter of L. The well known binary relation ≡F defined on L by x ≡ Fy if and only if x → y and y → x ∈ F, is a congruence on L. The quotient structure L/F is also a pseudo-residuated lattice where: x/F ∧ y/F = (x ∧ y)/F; x/F ∨/F = (x ∨ y)/F; x/F ⊗ y/F = (x ⊗ y)/F; x/F → y/F = (x → y)/F. x/F ⇝ y/F = (x ⇝ y)/F.
Note that L/{1} ≅ L.
We assume that the notion of propositional language L is defined as usual. We denote by TermL the free term algebra with signature L over a denumerable set of generators (in this context called the propositional variables). The universe of this free term algebra will be denoted by TermL and its elements are called formulas. In the following, K is an algebra and K is its universe. We recall the following definitions.
Definition 2.11. Let TermL be a set of formulas. (i) The endomorphisms of the algebra TermL are called L-substitutions; (ii) An L-consecution is a pair 〈Ω, φ〉 usually written as Ω ▹ φ, where Ω ∪ {φ} ⊆ TermL; (iii) An L-consecution Ω ▹ φ is finitary if Ω is finite. We often identify a L-consecution of the form ∅ ▹ φ with the formula φ itself; (iv) A set of consecutions L can be viewed as a relation between sets of formulas and single formulas, we write Ω ⊢ Lφ instead of Ω ▹ φ ∈ L.
Definition 2.12. A logic L in the language L is a set of L-consecutions such that: 1. Ω, φ ⊢ Lφ, 2. if Ω ⊢ Lφ and for every χ ∈ Ω, ▵ ⊢ Lχ, then ▵ ⊢ Lφ, 3. Ω ⊢ Lφ implies σ [Ω] ⊢ Lσ (φ) for everyL-substitutions σ, 4. if Ω ⊢ Lφ, then there is a finite set ▵ ⊆ Ω such that ▵ ⊢ Lφ.
Definition 2.13. Let L be a logic. (i) The set Aχ of finitary L-consecutions is called an axiomatic system (or a presentation) of L if the relation ⊢L coincides with the provability relation given by Aχ as a Hilbert style calculi: i.e., Γ ⊢ Lφ iff there is a sequence of formulas 〈ψ1, ψ2, . . . ψn〉 with ψn = φ, where each ψi (1 ≤ i ≤ n) is an axiom or an element of Γ or is the result of the application of modus ponens on ψj, ψk (j, k ≤ i). (ii) Elements of Aχ of the form ∅ ▹ φ are called axioms, the remaining ones are called deduction rules.
Definition 2.14. Let L be a logic and R a set of consecutions. (i) The weakest logic containing L and R is denoted by L + R, so L + R is axiomatized by any of the presentations of L plus consecutions from R. (ii) A logic L′ is an (axiomatic) extension of L if there is a set R of consecutions (formulas) such that L′ = L + R.
Some examples of residuated lattices and filters
The following examples of residuated lattices and their filters will be used to illustrate the concepts treated in this paper.
Example 3.1. Let L = {0, a, b, c, d, 1} be a lattice such that 0 < a < c, 0 < b < c < d < 1, a and b are incomparable. Define the operations ⊗, → and ⇝ by the three tables below. Then L is a pseudo-residuated lattice which is not a pseudo-MTL algebra, since (a ⇝ b) ∨ (b ⇝ a) = c ≠ 1.
⊗
0
a
b
c
d
1
0
0
0
0
0
0
0
a
0
0
0
0
a
a
b
0
0
0
0
b
b
c
0
0
0
0
c
c
d
0
0
0
0
d
d
1
0
a
b
c
d
1
⇝
0
a
b
c
d
1
0
1
1
1
1
1
1
a
c
1
c
1
1
1
b
c
c
1
1
1
1
c
c
c
c
1
1
1
d
c
c
c
c
1
1
1
0
a
b
c
d
1
→
0
a
b
c
d
1
0
1
1
1
1
1
1
a
d
1
d
1
1
1
b
d
d
1
1
1
1
c
d
d
d
1
1
1
d
0
a
b
c
1
1
1
0
a
b
c
d
1
F = {1}; F1 = {1, d} are the only proper filters of L. L is 2-fold implicative, but not a Heyting algebra.
Example 3.2. Let L = {0, a, b, c, d, e, 1} be a lattice such that 0 < a < c < d, 0 < a < b < d < e < 1, b and c are incomparable. Define the operations ⊗ and → by the three tables below. L is a pseudo-residuated lattice which is not a pseudo-MTL algebra, since (b ⇝ c) ∨ (c ⇝ b) = e ≠ 1.
⊗
0
a
b
c
d
e
1
0
0
0
0
0
0
0
0
a
0
a
a
a
a
a
a
b
0
a
a
a
a
a
b
c
0
a
a
c
c
c
c
d
0
a
a
c
c
c
d
e
0
a
b
c
d
e
e
1
0
a
b
c
d
e
1
⇝
0
a
b
c
d
e
1
0
1
1
1
1
1
1
1
a
0
1
1
1
1
1
1
b
0
e
1
e
1
1
1
c
0
b
b
1
1
1
1
d
0
b
b
e
1
1
1
e
0
a
b
c
d
1
1
1
0
a
b
c
d
e
1
→
0
a
b
c
d
e
1
0
1
1
1
1
1
1
1
a
0
1
1
1
1
1
1
b
0
d
1
d
1
1
1
c
0
b
b
1
1
1
1
d
0
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1
1
e
0
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1
1
1
0
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e
1
F1 = {1}; F2 = {1, e}; F3 = {1, e, d, c}; F4 = {1, e, d, c, b, a} are the proper filters of L. L is 3-fold implicative, but not a Heyting algebra.
Example 3.3. Let L = {0, a, b, c, 1} be a lattice such that 0 < a < b < c < 1. Define the operations ⊗, → and ⇝ by the three tables below. Then L is a pseudo-residuated lattice which is not a pseudo-BL algebra, since b ⊗ (b ⇝ a) = b ⊗ b = 0 ≠ a = b ∧ a.
⊗
0
a
b
c
1
0
0
0
0
0
0
a
0
0
0
a
a
b
0
0
0
b
b
c
0
a
a
c
c
1
0
a
b
c
1
→
0
a
b
c
1
0
1
1
1
1
1
a
b
1
1
1
1
b
b
c
1
1
1
c
0
a
b
1
1
1
0
a
b
c
1
⇝
0
a
b
c
1
0
1
1
1
1
1
a
b
1
1
1
1
b
b
b
1
1
1
c
0
b
b
1
1
1
0
a
b
c
1
F1 = {1}; F2 = {1, c} are the only proper filters of L. L is 4-fold implicative, but not a Heyting algebra.
Example 3.4. Let L = {0, a, b, c, d, 1} be a lattice such that 0 < a < b < d < 1,0 < a < c < d < 1, b and c are incomparable. Define the operations ⊗, → and ⇝ by the three tables below. Then L is a pseudo-residuated lattice which is not a pseudo-MTL algebra, since (b → c) ∨ (c → b) = d ≠ 1.
⊗
0
a
b
c
d
1
0
0
0
0
0
0
0
a
0
0
a
0
a
a
b
0
0
b
0
b
b
c
0
a
a
c
c
c
d
0
a
b
c
d
d
1
0
a
b
c
d
1
→
0
a
b
c
d
1
0
1
1
1
1
1
1
a
b
1
1
1
1
1
b
0
c
1
c
1
1
c
b
b
b
1
1
1
d
0
a
b
c
1
1
1
0
a
b
c
d
1
⇝
0
a
b
c
d
1
0
1
1
1
1
1
1
a
c
1
1
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1
1
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c
1
c
1
1
c
0
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1
1
1
d
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1
1
1
0
a
b
c
d
1
F1 = {1}; F2 = {1, d}; F3 = {1, d, c}; F4 = {1, d, b} are the proper filters of L.
Example 3.5. Let L = {0, a, b, c, 1} be a lattice such that 0 < a < b < 1, 0 < a < c < 1, b and c are incomparable. Define the operations ⊗, → and ⇝ by the three tables below. Then L is a pseudo-residuated lattice which is not a pseudo-BL algebra, since (b → c) ⊗ b = c ⊗ b = 0 ≠ a = b ∧ c.
⊗
0
a
b
c
1
0
0
0
0
0
0
a
0
0
0
a
a
b
0
a
b
a
b
c
0
0
0
c
c
1
0
a
b
c
1
→
0
a
b
c
1
0
1
1
1
1
1
a
c
1
1
1
1
b
c
c
1
c
1
c
0
b
b
1
1
1
0
a
b
c
1
⇝
0
a
b
c
1
0
1
1
1
1
1
a
b
1
1
1
1
b
0
c
1
c
1
c
b
b
b
1
1
1
0
a
b
c
1
F1 = {1}; F2 = {1, c}; F3 = {1, b} are the proper filters of L.
Example 3.6. Let L = {0, a, b, c, 1} be a lattice such that 0 < a < b < c < 1. Define the operations ⊗, → and ⇝ by the three tables below. Then L is a pseudo-residuated lattice which is not a pseudo-BL algebra, since (c → b) ⊗ c = c ⊗ c = a ≠ b = b ∧ c.
⊗
0
a
b
c
1
0
0
0
0
0
0
a
0
0
0
0
a
b
0
0
0
0
b
c
0
0
a
a
c
1
0
a
b
c
1
→
0
a
b
c
1
0
1
1
1
1
1
a
c
1
1
1
1
b
b
c
1
1
1
c
b
c
c
1
1
1
0
a
b
c
1
⇝
0
a
b
c
1
0
1
1
1
1
1
a
c
1
1
1
1
b
c
c
1
1
1
c
a
c
c
1
1
1
0
a
b
c
1
F1 = {1} is the only proper filter of L. L is 2-fold Boolean, but not a Boolean algebra.
Some classes of filters
A class of filters of L will be said to be closed under extension if for any filters F1 and F2 of L, ( and F1 ⊆ F2) implies . It may be required that the filters in question satisfy a particular condition(for example, the condition of proper filters).
n-fold strongly integral filters
Definition 4.1. Let F be a filter of L, and n ≥ 1. (i) F is said to be n-fold strongly integral if for all x, y ∈ L, . In particular, 1-fold strongly integral filters are strongly integral filters. (ii) L is said to be n-fold strongly integral if for all for all x, y ∈ L, . In particular, a 1-fold strongly integral pseudo-residuated lattice is a strongly integral pseudo-residuated lattice.
It is easy to show the following result.
Lemma 4.2.Let F be a filter of the pseudo-residuated lattice L, and n ≥ 1 If F is prime and n-fold strongly integral, then it is n-fold integral.
Example 4.3. Let n ≥ 1. (i) The pseudo-residuated lattice of Example 3.2 is n-fold strongly integral and all its filters are n-fold strongly integral. (ii) The pseudo-residuated lattice of Example 3.5 is not 1-fold strongly integral, because .
t-filters
Let , t be an k-airy term and M be a residuated lattice. By the symbol , we denote the abbreviation of (x1, x2, . . . , xk) ∈ Mk, i.e. is a formal listing of variables x1, x2, . . . , xk used in a given context. By the term t we always meant a term in the language of residuated lattices.
Definition 4.4. (i) A filter G of M is said to be a t-filter if for all , . (ii) A residuated lattice M is said to be a t-algebra if for all , . The following result are the direct consequences of the definition.
Lemma 4.5.The following properties are equivalent. (i) M is a t-algebra. (ii) Any filter of M is a t-filter. (iii) {1} is a t-filter.
Lemma 4.6.The class of t-filters is close under extension.
Lemma 4.7.A normal filter G of M is a t-filter iff M/G is a t-algebra.
Extended filters
The notion of extended filters of RL-monoid was firstly introduced in (2012) and their properties was considered by Haveshki and Mohamadhasani [8]. According to it, Michiro Kondo [14] defined an extended filter of a residuated lattice L. We here give a simple characterization theorem of extended filters in pseudo-residuated lattices.
We denote by: Fil (L) the set of all filters of L, Spec (L) the set of all prime filters of L, Max (L) the set of all maximal filters of L.
A lattice (L, ∧ , ∨) is said to be complete lattice if for all a ∈ L and {bi : i ∈ I} ⊆ L, ∨bi and ∧bi exist. A residuated lattice (L, ∧ , ∨ , ⊗ , → , ⇝ , 0, 1) is said to be complete if (L, ∧ , ∨) is complete.
Definition 4.8. [5] A complete lattice (L, ∧ , ∨) is called Browerian if it satisfies the identity a ∧ ⋁ bi = ⋁ (a ∧ bi).
Lemma 4.9. [5] (Fil (L) , ∧ , ∨) is a Browerian algebraic lattice, where ∨Fi = 〈 ∪ Fi〉, ⋀Fi = ⋂ Fi and the compact elements being exactly the principal filter of L.
For F1, F2 ∈ Fil (L), we define F1⊸F2 : = ∨ {G : G ∩ F1 ⊆ F2}. Like the case of commutative residuated lattice [[14], Proposition 3], we also have F1⊸F2 = {x ∈ L : 〈x〉 ∩ F1 ⊆ F2}. From this and Lemma ref prirmai, we have the following result.
Theorem 4.10.(Fil (L) , ∧ , ∨ , ⊸, {1} , L) is a complete Heyting algebra(as a residuated lattice).
Definition 4.11. For a subset B ⊆ L and a filter F ∈ Fil (L), EF (B) = {x ∈ L : x ∨ b ∈ Fforallb ∈ B} is called an extended filter associated with B.
Lemma 4.12.Let F ∈ Fil (L) and ∅ ≠ B ⊆ L Then, (1) EF (B) ∈ Fil (L). (2) F ⊆ EF (B).
Proof. Using Lemma 2.3(i), the proof is as in the case of commutative residuated lattice, [[14], Proposition 5].■
Example 4.13. Let L be the residuated lattice of Example 3.4 and B : = {d, c, b} ⊆ L. EF2 (B) = F2.
At first we give a simple characterization theorem of extended filters.
Theorem 4.14.Let F ∈ Fil (L) and ∅ ≠ C, B ⊆ L. Then, (1) EF (B) = 〈B〉⊸F. (2) EEF(B) (C) = EEF(C) (B) = EF (〈B〉 ∩ 〈C〉). (3) For all (Fi) i∈Λ ⊆ Fil (L), we have ⋂i∈ΛEFi (B) = E⋂i∈ΛFi (B).
Proof. Using Lemma 2.3(ii) and Theorem 4.10, the proof is as in the case of commutative residuated lattice, [[14], Theorem 1, Corollary 2, Corollary 3].
Lemma 4.15.Let F ∈ Fil (L) and ∅ ≠ B ⊆ L. Then, If F is a prime filter, then so is EF (B).
Proof. Using Lemmas 2.6 and 2.5, the proof is as in the case of commutative residuated lattice, [[14], Proposition 6].
Definition 4.16. Let F ∈ Fil (L) and ∅ ≠ B ⊆ L. F is called a stable filter relative to B if EF (B) = F.
We denote by S (B) the set of all stable filters relative to B.
Lemma 4.17.Let F ∈ Fil (L) and ∅ ≠ B ⊆ L. Then, (i) EF (B) is a stable filter relative to B. (ii) S (B) = {EF (B) : F ∈ Fil (L)}.
Proof. (i) By Theorem 4.14, we have EEF(B) (B)= (〈B〉 ∧ 〈B〉) ⊸F = 〈B〉⊸F = EF (B).■ (ii) Follows from (i) and the definition of stable filter relative to B.
For F, G ∈ Fil (L), we define on S (B) two operations ⊓ and ⊔ as follows, EF (B) ⊓ EG (B) = EF∧G (B) and EF (B) ⊔ EG (B) = EF∨G (B). Let 〈B〉∗ = E{1} (B).
As in the case of commutative residuated lattice [[14], Theorem 4], using Theorems 4.14 and 4.10, we have the following result.
Theorem 4.18.Let F ∈ Fil (L) and ∅ ≠ B ⊆ L. Then, (S (B) , ⊓ , ⊔ , ⊸, 〈B〉∗, L) is a complete Heyting algebra which is not a subalgebra of (Fil (L) , ∧ , ∨ , ⊸, {1} , L).
We now here give the characterization of t-filter by extended filters.
Theorem 4.19.Let M be a residuated lattice and F ∈ Fil (M). Then, F is a t-filter if and only if for all , .
Proof. Let F ∈ Fil (M). F is a t-filter if and only if for all , if and only if for all , if and only if for all , if and only if for all , if and only if for all , if and only if for all , .
Remark 4.20. Let us taking the following term in the language of residuated lattice . . t3 (x, y) = ([(xn → y) ⇝ y] → (x ∨ y)) ∧ ([(xn ⇝ y) → y] ⇝ (x ∨ y)). . . t6 (x, y) = (xn → x2n) ∧ (xn ⇝ x2n).
Then, the class of n-fold strongly integral(resp., strong, fantastic, involutive, Boolean, implica-tive)residuated lattices are t1, t2, t3, t4, t5, t6-algebras, respectively. So using Theorem 4.19, we get the characterizations of an n-fold strongly integral(resp., strong, fantastic, involutive, boolean, implicative)filters by an extended filter.
Specially, we get the following characterization of a n-fold boolean filter.
Theorem 4.21.Let F ∈ Fil (L). Then, F is an n-fold boolean filter if and only if .
Proof. Let F ∈ Fil (L). F is an n-fold boolean filter if and only if and if and only if and if and only if and if and only if and if and only if and if and only if .
pseudo-Residuated logic
Let us start this section by the following result.
Theorem 5.1.Let us consider the following equations. (i) (x ⊗ y) → z = x → (y → z); (i’) (y ⊗ x) ⇝ z = x ⇝ (y ⇝ z); (ii) (x ⊗ (x ⇝ y)) ∧ y = x ⊗ (x ⇝ y); (ii’) ((x → y) ⊗ x) ∧ y = (x → y) ⊗ x; (iii) (x ∧ y) ⇝ y = 1; (iii’) (x ∧ y) → y = 1.
If L-1 and L-2 hold, then: L-3 ⇔ [(i) , (i′) , (ii) , (ii′) , (iii) , (iii′)]
Proof. Suppose that L-1 and L-2 hold ⇒ Assume that L-3 holds. (i) u ≤ (x ⊗ y) → z ⇔ u ⊗ (x ⊗ y) ≤ z ⇔ (u ⊗ x) ⊗ y ≤ z ⇔ u ⊗ x ≤ y → z ⇔ u ≤ x→ (y → z) (i’) u ≤ (y ⊗ x) ⇝ z ⇔ (y ⊗ x) ⊗ u ≤ z ⇔ y ⊗ (x ⊗ u) ≤ z ⇔ x ⊗ u ≤ y ⇝ z ⇔ u ≤ x⇝ (y ⇝ z). (ii) x ⊗ (x ⇝ y) ≤ y ⇔ x ⇝ y ≤ x ⇝ y. Hence (ii) holds. (ii’) (x → y) ⊗ x ≤ y ⇔ x → y ≤ x → y. Hence (ii’) holds. (iii) (x ∧ y) ⊗1 ≤ y ⇔ 1 ≤ (x ∧ y) ⇝ y ⇔ (x ∧ y)⇝y = 1. (iii’) 1 ⊗ (x ∧ y) ≤ y ⇔ 1 ≤ (x ∧ y) → y ⇔ (x ∧ y) → y = 1. ← Conversely, assume that (i), (i’), (ii), (ii’), (iii) and (iii’) hold. We have to show that L-3 holds. x ≤ y ⇔ x ∧ y = x; hence x → y = 1, by (iii’). x → y = 1 ⇒ (x → y) ⊗ x = x. Hence x ≤ y, by (ii’). So, x ≤ y ⇔ x → y = 1 (∗).
From this, we have: x ⊗ y ≤ z iff (x ⊗ y) → z = 1 iff x → (y → z) =1 (by (i)) iff x ≤ y → z, by (∗).
In addition, x ≤ y iff x ∧ y = x. Hence, x ⇝ y = 1, by (iii). x ⇝ y = 1 ⇒ x ⊗ (x ⇝ y) = x. Hence x ≤ y, by (ii). So, x ≤ y ⇔ x ⇝ y = 1 (∗∗).
From this, we have: x ⊗ y ≤ z iff (x ⊗ y) ⇝ z = 1 iff y ⇝ (x ⇝ z) =1 (by (i’)) iff y ≤ x ⇝ z, by (∗∗).
Corollary 5.2.The class RL of pseudo-residuated lattices is a variety.
Proof. It is known that is a bounded lattice iff it satisfies the following conditions: (a1) (x ∨ y) ∨ z = x ∨ (y ∨ z) and (x ∧ y) ∧ z = x ∧ (y ∧ z); (a2) x ∧ (x ∨ y) = x = x ∨ (x ∧ y); (a3) x ∧ y = y ∧ x and x ∨ y = y ∨ x; (a4) x ∨ x = x = x ∧ x; (a5) x ∨ 0 = x = x ∧ 1.
It is also known that (L, ⊗ , 1) is a monoid iff it satisfies the following conditions: (a6) x ⊗ (y ⊗ z) = (x ⊗ y) ⊗ z; (a7) x ⊗ 1 = x = 1 ⊗ x.
The result follows from this and Theorem 5.1.■
Since the class epsfbox G:/Tex/IOSPRESS/IFS/0-2070/IF-01.eps of all t-algebras is equationally define, we have the following result.
Theorem 5.3.The class epsfbox G:/Tex/IOSPRESS/IFS/0-2070/IF-01.eps of all t-algebras is a sub-variety of RL.
So, the classes of n-fold strongly integral (resp., boolean, implicative, fantastic, involutive, strong) pseudo-residuated lattices are sub-varieties of RL.
pseudo-Residuated logic
Definition 5.4. Now we propose the logic , which is later proved to be determined by the class of all pseudo-residuated lattices. The logic has the following language: Propositional variables: p1, p2, p3 . . .. Constant: a, e. Logical symbols: ∧, ∨ , ∘ , → , ⇝. A formula of is defined as follows: (1) Every propositional variable is a formula; (2) Constants a, e are formulas; (3) If A and B are formulas, then so are A ∧ B, A ∨ B, A ∘ B, A → B, A ⇝ B.
We note that this logic is a negation-free. Let Φ0 : = {p0, p1, p2, . . . .} ∪ {a, e} and Φ be the set of all formulas of . As a logical system, the logic has the following axioms and rules of inference: Axioms: (1) A → (A ∨ B). (2) (A ∨ B) → (B ∨ A). (3) (A ∨ A) → A. (3a) (A ∨ e) → e. (4) (A ∧ B) → A. (5) (A ∧ B) → (B ∧ A). (6) A → (A ∧ A). (7) (A ∧ (B ∧ C)) → ((A ∧ B) ∧ C)). (8) ((A ∧ B) ∧ C)) → (A ∧ (B ∧ C)). (9) (A ∨ (B ∨ C)) → ((A ∨ B) ∨ C)). (10) ((A ∨ B) ∨ C)) → (A ∨ (B ∨ C)). (11) (A ∘ e) → A. (12) (e ∘ A) → A. (13) (A ∘ (B ∘ C)) → ((A ∘ B) ∘ C)). (14) ((A ∘ B) ∘ C)) → (A ∘ (B ∘ C)). (15) e. (16) a → A. (17) A → (B → A); (18) A → (B ⇝ A); (19) (A → (B → C)) → ((A ∘ B) → C). (20) ((A ∘ B) → C) → (A → (B → C)). (21) (A ⇝ (B ⇝ C)) → ((B ∘ A) ⇝ C)). (22) ((B ∘ A) ⇝ C)) → ((A ⇝ (B ⇝ C)). (23) ((A ∘ (A ⇝ B)) ∧ B) → (A ∘ (A ⇝ B)). (24) (A ∘ (A ⇝ B)) → ((A ∘ (A ⇝ B)) ∧ B). (25) (((A → B) ∘ A) ∧ B) → ((A → B) ∘ A). (26) ((A → B) ∘ A) → (((A → B) ∘ A) ∧ B). (27) (A → B) → ((B → C) ⇝ (A → C)). (28) (A → B) → ((C → A) → (C → B)). (29) (A ⇝ B) → ((C ⇝ A) → (C ⇝ B)). (30) (A ⇝ B) → ((B ⇝ C) → (A ⇝ C)). (31) (A → B) → ((A ∘ C) → (B ∘ C)). (32) (A → B) → ((A ∧ C) → (B ∧ C)). (33) (A → B) → ((A ∨ C) → (B ∨ C)).
Rules of inference:
• implications:
; .
R∨: , .
R∧: , .
• Modus ponens: . .
Note An : = An-1 ∘ A for all n ≥ 1 and A0 : = e. A → a, A ⇝ a are denote by and , respectively.
Proposition 5.5.For all A, B, C ∈ Φ, we have (1) ; . (2a) ; . (2b) ; . (2c) . (3) ; . (4) ; . (5) . . (6) .
Proof. (1) Follows from Axiom (27) and modus ponens. (2a) Follows from Axiom (28) and modus ponens. (2b) Follows from Axiom (29) and modus ponens. (2c) Follows from Axiom (30) and modus ponens. (3) Follows from Axiom (31) and modus ponens. (4) Follows from Axioms (32), (33) and modus ponens. (5) Follows from Axioms (32), (33) and modus ponens. (5) Follows from Axioms (17), (18), (19) and modus ponens. (6) Follows from (5).
Remark 5.6. Since the logic has axioms {A → (B → A)}, by using modus ponens, we can show the deduction theorem of the logic if and only if .
Definition 5.7. A map v : Φ → L is called a valuation on L if it satisfies the following conditions: (v1) v (A ∧ B) = v (A) ∧ v (B). (v2) v (A ∨ B) = v (A) ∨ v (B). (v3) v (A → B) = v (A) → v (B). (v3) v (A ⇝ B) = v (A) ⇝ v (B). (v4) v (A ∘ B) = v (A) ∘ v (B). (v5) If A is an axiom of , then v (A) =1
It is easy to see that v (e) =1 ; v (a) =0.
The semantical equational consequence relation ⊨ is define as follows. For Γ ∪ {A} ⊆ Φ, Γ ⊨ A if and only if v (A) =1 whenever v (γ) =1 for all γ ∈ Γ, for any valuation v on any pseudo-residuated lattice L.
Lemma 5.8.(Soundness Theorem): LetΓ ∪ {A}⊆Φ.
If , then Γ ⊨ A.
Proof. Assume that . Then, there is a sequence of formulas 〈ψ1, ψ2, . . . ψn〉 with ψn = A, where each ψi (1 ≤ i ≤ n) is an axiom or an element of Γ or is the result of the application of modus ponens on ψj, ψk (j, k ≤ i). Let v be a valuation on the pseudo-residuated lattice L such that for all γ ∈ Γ, v (γ) =1. We have to show that v (A) =1.
If each ψi (1 ≤ i ≤ n) is an axiom, then so is A = ψn and then v (A) =1.
If A ∈ Γ, then v (A) =1.
If each ψi (1 ≤ i ≤ n) is the result of the application of modus ponens on ψj, ψk (j, k ≤ i), then so is A = ψn and since v is a valuation, we obtain v (A) =1.
Using the well-known method called Lindenbaum-Tarski algebra, one can prove the converse direction (Completeness Theorem) of the above. Let Γ ⊆ Φ. At first define the relation ≡Γ on the set Φ of formulas of : For A, B ∈ Φ, A ≡ ΓB if and if and .
From Proposition 5.5 we have the following result:
Define a relation ⊑Γ on Φ/≡ Γ by [A] ⊑ Γ [B] if and only if .
It is easy to show the following result.
Lemma 5.10.For all Γ ⊆ Φ, (Φ/≡ Γ, ⊓, ⊔ , ○, ↩, ↩ [a] , [e]) is a pseudo-residuated lattice.
We have the following key lemma to prove the completeness theorem.
Lemma 5.11.For all Γ ⊆ Φ and any formula A ∈ Φ, we have: in Φ/≡ Γ
Proof. Let Γ ⊆ Φ and A ∈ Φ. Assume that , since A → (e → A) is an axiom, then by modus ponens, we deduce that , that is [e] ⊑ Γ [A].
Conversely, assume that [e] ⊑ Γ [A], then . Since e is an axiom, by modus ponens, we have .
Theorem 5.12.(Strong Completeness theorem):
For all Γ ∪ {A} ⊆ Φ, we have: .
Proof. Let Γ ∪ {A} ⊆ Φ. Assume that , then, by Lemma 5.8, we have Γ ⊨ A.
Conversely, assume that Γ ⊨ A. Taking a canonical map vΓ : Φ → Φ/≡ Γ defined by vΓ (A) = [A] as a particular valuation, we have the result.
Regular (or involutive) residuated lattices, Heyting algebras, Boolean algebras, MTL algebras, BL algebras, MV algebras are equivalent semantics of regular residuated logic, Heyting logic, Boolean logic, MTL, BL and MVL, respectively. The above logics are (axiomatic) extension of ; and are described informally as follows
We recall an algebraizability of a logic in the sense of Block and Pigozzi [2]. A class K of algebras is called an algebraic semantics if the consequence relation ⊢ can be interpreted in the semantical equational consequence relation ⊨K of K in a natural way. K is called an equivalent algebraic semantics for a logic L if there is an inverse interpretations of ⊨K in ⊢L. If L has an equivalent algebraic semantics, then it is called algebraizable. Concerning to algebraizability, we have a fundamental result:
Theorem 5.13.[15] A logic L is algebraizable if and only if there exist a system Δ of formulas in two variables and a system δ ≈ ɛ in a single variable such that the following conditions hold for all A, B, C ∈ Φ : (i) ⊢AΔA (ii) AΔB ⊢ BΔA (iii) AΔB, BΔC ⊢ AΔC
For every primitive logical symbol ϖ and all A0, . . . An-1, . . , B0, . . . Bn-1 ∈ Φ when n is the arity of ϖ (iv) A0ΔB0, . . , An-1ΔBn-1ϖ (A0, . . . An-1) Δϖ (B0, . . . Bn-1). Finally, all A ∈ Φ (v) A ⊢ δ (A) Δɛ (A) and δ (A) Δɛ (A) ⊢ A.
In the case of the logic , we have Δ = {p → q, q → p} , δ = p ∧ 1 and ɛ = 1.
Definition 5.14. (i) We said the logic L1 generalize the logic L2 if the model of L1 generalize the model of L2. (ii) We said the logics L1 and L2 coincide and we write L1 = L2 if the models of L1 and L2 coincide.
Example 5.15. Boolean logic = MVL + Heyting logic.
So, Heyting logic and MVL generalize Boolean logic.
We have the following table.
n-fold residuated logic
We recall that Φ is the set of all formulas of (residuated logic). For A ∈ Φ and n ≥ 1, we denote by An : = A ∘ An-1, and A0 : = e.
Let us define informally the following logic as follow. + {φn → φn+1}
It is clear that all the above logics are algebraizable since is algebraizable.
Now we show the Soundness and Completeness theorems of the above logics.
For example we show the Soundness and Completeness theorems of n-fold implicative pseudo-residuated logic or nIPL, in short.
The logic nIPL has the same language as . We note that this logic is also a negation-free. Let Ψ be the set of all formulas of nIPL. As a logical system, nIPL is defined as an axiomatic extension of with the axiom An → An+1.
Definition 5.16. If L is an n-fold implicative pseudo-residuated lattice, then a valuation on L is an homomorphism from Ψ to L.
Define a semantical equational consequence relation ⊨ as follows. For Γ ∪ {A} ⊆ Ψ, Γ ⊨ A if and only if v (A) =1 whenever v (γ) =1 for all γ ∈ Γ and any valuation v on any n-fold implicative residuated lattice L. So, ∅ ⊨ A (or ⊨A) iff v (A) =1, that is A is a tautology iff v (A) =1.
A derivation of ρ from Γ (⊆ Ψ) is a finite sequence of formulas 〈ψ1, ψ2, . . . ψn〉 with ψn = φ, where each ψi (1 ≤ i ≤ n) is an axiom or an element of Γ or is the result of the application of modus ponens on ψj, ψk (j, k ≤ i). Let ⊢ be the derivation operator defined in this way, i.e., we write Γ ⊢ nIPLρ iff there is an derivation of ρ from Γ.
Remark 5.17. (i) Since n-fold implicative pseudo-residuated logic is an axiomatic extension of and has axioms A → (B → A), we get the deduction theorem of the n-fold implicative pseudo-residuated logic: Γ ∪ {A} ⊢ nIPLB if and only if Γ ⊢ nIPLA → B. (ii) For any valuation v on any n-fold implicative pseudo-residuated lattice L and any axioms φ of nIPL, v (φ) =1. (iii) For any ρ, σ ∈ Ψ, (v (ρ) =1 and v (ρ → σ) =1) implies v (σ) =1.
From the above remark, the following is easy to prove.
Lemma 5.18.(Soundness Theorem): cons (Γ) ⊆ Cons (Γ). That is Γ ⊢ nIPLA implies Γ ⊨ A.
We use the well-known method called Lindenbaum-Tarski algebra to prove the converse direction (Completeness Theorem) of the above. Let Γ ⊆ Ψ. At first, we define a relation ≡Γ on the set Ψ of formulas of nIPL: For A, B ∈ Ψ, A ≡ ΓB if and if Γ ⊢ nIPLA → B and Γ ⊢ nIPLB → A.
As a relation, we see from axioms 1 - 26 of together with Proposition 5.1 and the modus ponens that:
Lemma 5.19.≡Γ is a congruence on Ψ.
So, we can define operations on Ψ/≡ Γ: [A] ⊓ [B] = [A ∧ B]; [A] ⊔ [B] = [A ∨ B]; [A]○ [B] = [A ∘ B]; [A] ↪ [B] = [A → B], [A] epsfboxG :/Tex/IOSPRESS/IFS/0 -2070/IF - 02 . eps[B] = [A ⇝ B]. We define a relation ⊑Γ on Ψ/≡ Γ by [A] ⊑ Γ if and only if Γ ⊢ nIPLA → B.
Theorem 5.20.(i) (Ψ/≡ Γ, ⊓ , ⊔ , ○ , ↪ , ↩[a] , [e]) is an n-fold implicative pseudo-residuated lattice. (ii) There exists a homomorphic mapping v from Ψ to Ψ/≡ Γ with v (φ) = [e] iff Γ ⊢ nIPLφ.
Proof. (i) Since [A] n ↪ [A] n+1 = [An → An+1] = [e], it follows that (Ψ/≡ Γ, ⊓ , ⊔ , ○ , ↪ , ↩, [a] , [e]) is an n-fold implicative pseudo-residuated lattice. (ii) The result follows by taking a canonical map vΓ : Ψ → Ψ/≡ Γ defined by vΓ (A) = [A].
From the above, we have the next theorem.
Theorem 5.21.(Strong Completeness Theorem): For Γ ⊆ Ψ, we have cons (Γ) = Cons (Γ). That is Γ ⊢ nIPLA ⇔ Γ ⊨ A, for all A ∈ Ψ.
The Soundness and Completeness theorems of the rest of above logics are obtained similarly. From this, we have the following results:
Theorem 5.22.(i) The model of the n-fold involutive pseudo-residuated logic is an n-fold involutive pseudo-residuated lattice. (ii) The model of the n-fold implicative pseudo-residuated logic is an n-fold implicative pseudo-residuated lattice. (iii) The model of the n-fold boolean pseudo-residuated logic is an n-fold boolean pseudo-residuated lattice. (iv) The model of the n-fold fantastic pseudo-residuated logic is an n-fold fantastic pseudo-residuated lattice. (v) The model of the n-fold strong pseudo-residuated logic is an n-fold strong pseudo-residuated lattice. (vi) The model of the n-fold strongly integral pseudo-residuated logic is an n-fold strongly integral pseudo-residuated lattice.
(i) A residuated lattice M is n-fold boolean iff it is n-fold fantastic and n-fold implicative. (ii) Any boolean algebra is an n-fold boolean residuated lattice, but the converse is not true. (ii) Any Heyting algebra is an n-fold implicative residuated lattice, but the converse is not true. (ii) Any MV algebra is an n-fold fantastic residuated lattice, but the converse is not true.
From the above theorem, it follows the following results.
The results of this paper will be devoted to study some n-fold residuated logics and relationship among them. We introduce new logics which generalize Propositional logic, Gödel logic and MV logic, respectively.
Footnotes
Acknowledgments
The authors express their sincere thanks to the referees for their valuable suggestions and comments.
References
1.
BalbesR. and DwingerPh., Distributive Lattices, University of Missouri Press, 1974.
2.
BlokW.J. and PigozziD., Algebraizable Logics, volume 396 of the American Mathematical Society. American Mathematical Society, providence, RI, 1989.
3.
ChangC.C., A new proof of the completeness of the Lukasiewicz axioms, Trans Amer Math Soc93 (1959), 74–80.
4.
ChangC.C., Algebraic analysis of many valued logics, Trans Amer Math Soc88 (1958), 467–490.
5.
CiunguL.C., Classes of residuated lattices, Annals of University of Craiova, Math Comp Sci Ser33 (2006), 189–207.
6.
DilworthR.P., Non-commutative residuated lattices, Trans Am Math Soc46 (1939), 426–444.
7.
HaveshkiM. and EslamiE., n-fold filters in BLalgebras, Mathematical Logic Quarterly54(2) (2008), 176–186.
8.
HaveshkiM. and MohamadhasaniM., Extended filters in bounded commutative RL-monoids, Soft Comput16 (2012), 2165–2173.
9.
GeorgescuG. and LeusteanL., Some classes of Pseudo-BL algebras, J Aust Math Soc73 (2002), 127–153.
10.
HájekP., Basic fuzzy logic and BL-algebras, Soft Computing2 (1998), 124–128.
11.
HöhleU., Commutative, residuated l-monoids, in: HöhleU. and KlementsE.P., (Eds.), Non-classical logics and their applications to the fuzzy subsets, Kluwer Acad Publ, Dordrecht, 1995, pp. 53–106.
12.
JipsenP. and TsinakisC., A survey of residuated lattices, In: Ordered Algebraic Structures, Kluwer Academic Publishers, Dordrecht, 2002, pp. 19–56.
13.
KadjiA., LeleC. and TongaM., Some classes of pseudo-residuated lattices, Afrika matematika (to appear).
14.
KondoM., Characterization of extended filters in residuated lattices, Soft Comput18 (2014), 427–432. DOI: 10.1007/s00500-013-1100-0
15.
KondoM., KawaguchiM.F., WatariO. and MiyakoshiM., Weak uninorm based logic and its filter theory, 2012 41st IEEE International Symposium on Multiple-Valued Logic.
16.
KrullW., Axiomatische Begründung der allgemeinen Ideal theorie, Sitzungsber Physik Med Soc Erlangen56 (1924), 47–63.
17.
PavelkaJ., On fuzzy logic II. Enriched residuated lattices and semantics of propositional calculi, Z Math Log Grundl Math25 (1979), 119–134.
18.
TurunenE., TchikapaN. and LeleC., n-Fold implicative basic logic is Gödel logic, Soft Computing16(1) (2012), 177–181.
19.
TurunenE., TchikapaN. and LeleC., Erratum to: n-Fold implicative basic logic is Gödel logic, Soft Comput, Soft Computing16(1) (2012), 183.
20.
VitaM. and CintulaP., Filters in algebras of fuzzy logics, EUSFLAT-LFA2011, Atlantis Press, 169–174.
21.
WardM. and DilworthR.P., Residuated lattices, Trans Am Math Soc45 (1939), 335–354.
22.
WardM., Residuated distributive lattices, Duke Math J6 (1940), 641–651.