As everyday problems contain a lot of data and ambiguity, it has become necessary to develop new mathematical approaches to address them and soft set theory is the best tool to deal with such problems. Hence, in this article, we introduce a non-continuous mapping in soft settings called soft -continuous. We mainly focus on studying soft -continuity and its connection to soft continuity. We further show that soft -continuity preserves soft compact sets and soft connected sets. The later sets have various applications in computing science and decision making theory. In the end, we show that if each soft -continuous mapping f from a soft space X into a soft T0-space Y is soft continuous, then Y is soft T1.
The data used in most real-world problems in social sciences, engineering, medical sciences, economics, and other fields is imprecise. The usage of mathematical ideas based on uncertainty and imprecision is used to solve such difficulties. As a result, classical set theory, which is predicated on the crisp and accurate case, may not be totally suitable for dealing with such uncertainty concerns. A variety of theories have been presented for effectively dealing with uncertainties. Namely: the theory of fuzzy sets [39], theory of intuitionistic fuzzy sets [10], theory of vague sets [20], theory of rough sets [33], and others. Each of these theories has its own set of benefits and drawbacks when it comes to dealing with uncertainty. One key issue that all of these ideas have in common is their incompatibility with parameterization tools. Molodtsov [31] presented a whole new idea for modeling uncertainty, in 1999, called soft set theory, which associates a set with a set of parameters and thereby avoids the challenges imposed by the identified problem. Soft set theory has been shown to have a wide range of applications in areas such as function smoothness, Riemann integration, decision making, measurement theory, and game theory. The link between soft sets and information systems was studied by Pei and Miao [34]. They demonstrated that soft sets are a type of special information system. Then Roy et al. [35] gave the notion of fuzzy soft set theory. Shabir and Naz [36] and Çağman et al. [15] separately established the concepts of soft topological spaces and soft open sets in 2011. The concepts of compactness [11], connectedness [26], and separation axioms [14, 36] have all been introduced in soft contexts in a similar way. Then, in the literature, several generalized forms of soft continuity [11] appeared. For example: soft semicontinuity [27], soft β-continuity [38], soft somewhat continuity [9], soft somewhere dense continuity [5], and so on.
In this paper, we study the so called soft -continuous mappings. Generally speaking, a soft -continuous mapping need not be soft continuous. We find some soft topological properties under which soft -continuity and soft continuity are identical. Then, we prove that soft -continuity preserves soft compactness and soft connectedness but not soft separability. It is worth saying that soft compact sets and soft connected sets have their applications in decision making theory [23, 25]. Finally, we characterize soft T1-spaces with the help of -continuous mappings.
Preliminaries
This section introduces some key terms and definitions that will be utilized in the sequel. We will refer to X as an initial universe, E as a set of parameters, and P (X) as the power set of X from now on.
Definition 2.1. [31] A collection F (E) = {(e, F (e)) : e ∈ E} is said to be a soft set over X, where F : E → ¶ (X) is a (crisp) map. The class of all soft sets on X is represented by . If L ⊆ E, then it will be represented by .
Definition 2.2. [8, 32] A soft set F (E) over X is called
a soft element if F (e) = {x} for all e ∈ E, where x ∈ X. It is denoted by ({x} , E).
a soft point if e ∈ E and x ∈ X such that F (e) = {x} and F (e′) =∅ for each e′ ≠ e, e′ ∈ E. It is denoted by x (e). A statement means that x ∈ F (e).
By {x (e)} = {(e, {x}) , (e′, ∅) , ⋯ : ∀ e′ ∈ E, e′ ≠ e} we mean a singleton soft set. If E = {e1, e2, e3} and X = {a, b}, the singleton soft set {a (e1)} = {(e1, {a}) , (e2, ∅) , (e2, ∅)}.
Definition 2.3. [7] The complement of F (E) is a soft set X (E) ∖ F (E) (or simply F (E) c), where Fc : E → ¶ (X) is given by Fc (e) = X ∖ F (e) for all e ∈ E.
Definition 2.4. [31] A soft subset F (E) over X is called
null if F (e) =∅ for any e ∈ E.
absolute if F (e) = X for any e ∈ E.
The null and absolute soft sets are respectively represented by and . Clearly, and .
Definition 2.5. [28] Let E1, E2 ⊆ E. It is said that G (E1) is a soft subset of H (E2) (written by if E1 ⊆ E2 and F (e) ⊆ G (e) for any e ∈ E1. We say G (E1) = H (E2) if and .
Maji et al. [28] gave definitions of the soft union and soft intersection of two soft sets with respect to arbitrary subsets of E. However, as Ali et al. [7] and Terepeta [37] report, these definitions are inaccurate and confusing. As a result, we stick to Terepeta’s [37] definitions.
Definition 2.6. Let {Fα (E) : α ∈ Λ} be a collection of soft sets over X, where Λ is any index set.
The intersection of Fα (E), for α ∈ Λ, is a soft set G (E) such that G (e) = ⋂ α∈ΛFα (e) for each e ∈ E and denoted by .
The union of Fα (E), for α ∈ Λ, is a soft set G (E) such that G (e) = ⋃ α∈ΛFα (e) for each e ∈ E and denoted by .
Definition 2.7. [36] A subfamily of is called a soft topology on X if
and belong to ,
finite intersection of sets from belongs to , and
any union of sets from belongs to .
Terminologically, we call a soft topological space on X. The elements of are called soft open sets, and their complements are called soft closed sets.
In what follow, by we mean soft topological spaces.
Definition 2.8. [15] A subfamily is called a soft base for the soft topology if each element of is a union of elements of .
Definition 2.9. [1, Definition 3.4] Let be a collection of soft subset of (X, E). The soft topology on X generated by is the intersection of all soft topologies on X containing .
Definition 2.10. [36] Let Y (E) be a non-null soft subset of . Then is called a soft relative topology on Y and E) is a soft subspace of .
Definition 2.11. [36] Let F (E) be a soft subset of . The soft interior of F (E) is the largest soft open set contained in F (E) and denoted by intX (F (E)) (or shortly int (F (E))). The soft closure of F (E) is the smallest soft closed set which contains F (E) and denoted by clX (F (E)) (or simply cl (F (E))).
Lemma 2.12. [24] For a soft subset G (E) of a space , we have int (G (E) c) = (cl (G (E))) c, cl (G (E) c) = (int (G (E))) c.
Definition 2.13. [14, 19] A soft topological space is called
soft T0 if for each x (e) , y (e′) over X with x (e) ≠ y (e′), there exist soft open sets G (E) , H (E) such that , or , .
soft T1 if for each x (e) , y (e′) over X with x (e) ≠ y (e′), there exist soft open sets G (E) , H (E) such that , and , ,
soft T2 (soft Hausdorff) if for each x (e) , y (e′) over X with x (e) ≠ y (e′), there exist soft open sets G (E) , H (E) containing x (e) , y (e′) respectively such that .
soft regular if for each soft closed set F (E) and each soft point x (e) with , there exist soft open sets G (E) , H (E) such that , and .
The above soft separation axioms have been defined by Sabir and Naz [36] for the first time with respect to soft elements.
Definition 2.14. A space is called
soft compact [11] if each soft open cover of has a finite subcover, (c.f. compact structural softsets in [25]).
soft locally compact [13] if each soft point has a soft compact neighborhood.
soft connected [26] if it cannot be written as a union of two disjoint soft open sets.
Soft -continuity and its properties
Definition 3.1. A mapping is said to be soft continuous with respect to a soft cover (shortly, -continuous) if for each soft open cover of , there exists a soft open cover of such that for each , there exists and .
From the definition, one can conclude the following remark:
Remark 3.2. (1) A mapping is soft -continuous if and only if for each and each soft open cover of , there is a soft open set U (E) over X containing x (e) and a soft open set such that .
(2) A crisp mapping is -continuous if → (Y, § , E′) is soft -continuous for each e ∈ E.
Proposition 3.3.Each soft continuous mapping is soft -continuous.
Proof. The proof is simple, given a soft continuous mapping , since for each soft open cover of , is a soft open cover of by soft continuity and for each f-1 (V (E′)) in . □
The next example shows that a soft -continuous mapping need not be soft continuous.
Example 3.4. Let be the set of real numbers and E = {e1, e2} be a set of parameters. Let be a soft topology on X generated by
where B (e1) = (a, b) , B (e2) = (c, d) for and let § be another soft topology on X generated by
where B (e1) = (a, ∞) , B (e2) = [b, ∞) for The identity mapping is soft -continuous but not soft continuous.
Proposition 3.5.If is a soft -continuous mapping and A (E) is any soft subset of . Then is soft -continuous.
Proof. Apply Theorem 1 in [36]. □
Theorem 3.6.A mapping is soft -continuous if and only if for each soft open cover of the family forms a cover for .
Proof. Suppose that f is soft -continuous and let be any soft open cover of . Choose any , then there is a soft open set U (E) containing x (e) and a soft open set such that . Therefore
Hence covers .
Conversely, given and let be a soft open cover of . By assumption covers , so there is such that and so
Hence f is soft -continuous. □
Theorem 3.7.For any soft mapping, there is a family of soft open subsets over X such that
where is the set of all soft -continuity points of f.
Proof. For any soft open cover of , we set
We can easily verify that is a soft open set over X. We now prove that is a soft open cover of
If , then for each soft open cover of , there is a soft open set U (E) over X containing x (e) and a soft open set such that . This implies that for each soft open cover of .
On the other hand, if for each soft open cover of , then obviously f is soft -continuous at x (e). □
From this result, we conclude that
Corollary 3.8.If is a soft mapping and (Y, § , E′) has a countable soft base, then the set of all soft -continuity points of f forms a soft Gδ set (=countable intersection of soft open sets).
Theorem 3.9.Let be a soft mapping and let be a soft locally compact space. The following are equivalent:
f is soft -continuous;
for each soft open cover of , there is a cover of containing soft compact neighborhoods such that for each , there is such that .
Proof. (i)→(ii) Suppose that f is soft -continuous and let be any soft open cover of . Then for each , there exist soft open U (E) containing x (e) and soft open such that . Therefore
and so
Since X is soft locally compact, there exists a soft compact neighborhoods Kx(e) (E) such that
Hence is a soft compact neighborhoods cover of and
(i)→(ii) Let be any soft open cover of . By (ii), there exists a cover of containing soft compact neighborhoods such that for each , there is such that . Since covers a soft locally compact space , then for each and each , there exists a soft open set G (E) such that . Therefore the family of all G (E)s’ covers and and so f is soft -continuous. □
Theorem 3.10.Let be a soft mapping and let each singleton soft set in (Y, § , E′) be soft closed. If f is soft -continuous, then it is soft continuous.
Proof. Pick an arbitrary and let V (E′) be a soft open set containing f (x (e)). By assumption, is soft open over Y. Therefore is a soft open cover of . Since f is soft -continuous, then there exists a soft open cover of such that for each , there is such that . Since covers , then there is containing x (e) and so f (U (E)) containing f (x (e)). Therefore . This proves that f is soft continuous. □
The following example shows the soft closedness of each singleton soft set in (Y, § , E′) is important in Theorem 3.10.
Example 3.11. The mapping given in Example 3.4 is soft -continuous but not soft continuous because not each singleton soft set in (X, § , E) is soft closed.
Theorem 3.12.Let be a soft mapping and let (Y, § , E′) be a soft regular T0-space. If f is soft -continuous, then it is soft continuous.
Proof. Let and let V (E′) be a soft open set containing f (x (e)). Since Y is soft T0, then for each y (e′) with f (x (e)) ≠ y (e′), there is a soft open set H (E′) containing f (x (e)) but not y (e′). Therefore and so . Then . Since (Y, § , E′) is soft regular, then for each with y (e′) ≠ f (x (e)), there are soft open sets R (E′) , S (E′) such that , and . Set where , , y (e′) ≠ f (x (e)). Then is a soft open cover of . Since f is soft -continuous, then there exists a soft open cover of such that for each , there is such that . Since covers , then there is containing x (e) and so f (U (E)) containing f (x (e)). But is the only soft open set that includes f (x (e)), hence . Hence f is soft continuous.□
The following examples show the soft regularity and soft T0 of (Y, § , E′) cannot be removed in Theorem 3.12.
Example 3.13. The mapping given in Example 3.4 is soft -continuous but not soft continuous as (X, § , E) is not soft regular.
Example 3.14. Let be the set of real numbers and E = {e1, e2} be a set of parameters. Let be a soft topology on X generated by {(e1, B (e1)) , (e2, B (e2)) : B (e1) = [a, b) , B (e2) = (c, d) ;} , where and let § be another soft topology on X generated by {(e1, B (e1)) , (e2, B (e2)) : B (e1) = [n, n + 1) , B (e2) = [a, b)} , where . Clearly (X, § , E) is soft regular but not soft T0 and the identity mapping is soft -continuous but not soft continuous.
Theorem 3.15.Let be a soft -continuous surjective mapping. If is a soft compact space, then (Y, § , E′) is soft compact.
Proof. Let be any soft open cover of . Since f is soft -continuous, then there is a soft open cover of such that for each , there is such that . Since X is soft compact, then has a finite subcover. Namely: there exist G1 (E) , G2 (E) , ⋯ , Gn (E) such that
By assumption, for each Gi (E) with i = 1, 2, . . . , n, there is Hi (E′) such that . Therefore
Thus Y is a soft compact space.□
Theorem 3.16.Let be a soft -continuous surjective mapping. If is a soft connected space, then (Y, § , E′) is soft connected.
Proof. Suppose otherwise that Y is not soft connected. Then there are two non-null soft open sets H (E′) , W (E′) such that
This implies forms a soft open cover for . Since f is soft -continuous, there is a soft open cover of such that for each , there is such that . Set
and
Clearly R (E) , S (E) are non-null. Since
then R (E) . Furthermore, are soft open sets and (because covers ). But this is a contradiction to the assumption that X is soft connected. Hence Y must be soft connected.□
The following example shows that the image of a soft separable space under soft -continuity need not be soft separable.
Example 3.17. Let be the set of real numbers and E = {e} be a set of parameters. Let be a soft topology on X generated by
and let § be another soft topology on X defined by or The identity mapping is soft -continuous and is soft separable but (X, § , E) not soft separable.
Theorem 3.18.If each soft -continuous mapping from a soft space into a soft T0-space (Y, § , E′) is soft continuous, then (Y, § , E′) is a soft T1-space.
Proof. Suppose for contradiction that Y is not soft T1. Then there are y1 (e*), with y1 (e*) ≠ y2 (e**) such that each soft open set including y1 (e*) includes y2 (e**). Set X = {y1, y2} and E = {e*, e**}. Let . Define to be the identity soft mapping. If is any soft open cover of , the cover always exists and for some as both y1 (e*) , y2 (e**) belong to some soft open set . This proves that the mapping f is soft -continuous. Since Y is soft T0, so there is a soft open set, say, U0 (E) such that but . This implies that f-1 (U0 (E)) = {y1 (e*)} which is not soft open over X and so f is not soft continuous. Hence (Y, § , E′) is soft T1.□
The next example illustrates that the assumption soft T0-space of (Y, § , E′) is essential.
Example 3.19. Let X = {1, 2} and E = {e1, e2}. Define the soft topologies and on X to be indiscrete and discrete, respectively. One can easily conclude that each mapping is soft continuous, but is not a soft T1-space.
Remark 3.20. At this place, it is time to notice that throughout the paper, we have used the soft point approach given in [8, 14] but we assert that all the obtained results are also true for the soft element approach defined in [36].
Furthermore, the assumption "each singleton soft set in (Y, § , E′) is soft closed" in Theorem 3.10 is equivalent to a soft T1-space of (Y, § , E′) for soft points (see, Theorem 4.1 in [14]). Therefore, Theorem 3.12 can be followed from Theorem 3.10, but this is not the case for soft elements that is why we have kept both Theorems (c.f., Theorem 3.19 in [30] and Note 4.1 in [14]). The topic of soft separation axioms is indeed controversial, see [2, 19].
Lastly, if the cardinality of sets of parameters is one, so all the above results are true for classical topology by Theorem 1 in [37].
Conclusion and future work
In this paper, we defined a class of soft non-continuous mapping concerning some soft open cover of its domain under the name of soft -continuous. We studied soft -continuous mappings and determined their relationship with soft continuous mappings. We further showed that soft -continuity can preserve soft compact sets and soft connected sets, but not soft separable sets. Then we proved that if each soft -continuous mapping is soft continuous and (Y, § , E′) is soft T0, then Y is soft T1. We also discussed the obtained consequences through different theories of soft points.
The following tasks are expected to be completed as part of future work:
Different soft point theories can be applied to all the results presented in this paper.
Soft open covering is the key component in the definition of -continuity. One can take soft covers of weak types of soft open sets and study the consequences.
Since soft -continuity is nicely related to soft separation axioms, examining the soft -continuity with different types of soft separation axioms (see [18]) can be a worthwhile research topic to study.
On soft topological spaces, -continuity is defined. Different topological structures can be chosen to define -continuity in the same way. Namely, fuzzy topology [16], supra topology [29], infra soft topology [4], generalized topology [17], and so on.
References
1.
Al GhourS. and AmeenZ.A., Soft maximal topologies, Submitted, 2021.
2.
Al-shamiT., Comments on some results related to soft separation axioms, Afrika Matematika31(7) (2020), 1105–1119.
3.
Al-shamiT.M., New soft structure, infra soft topological spaces, Mathematical Problems in Engineering2021 (2021).
4.
Al-shamiT.M., AlshammariI. and AsaadB.A., Soft maps via soft somewhere dense sets, Filomat34(10) (2020), 3429–3440.
5.
AliM.I., FengF., LiuX., MinW.K. and ShabirM., On some new operations in soft set theory, Computers & Mathematics with Applications57(9) (2009), 1547–1553.
6.
AllamA., IsmailT.H. and MuhammedR., A new approach to soft belonging, Journal of Annals of Fuzzy Mathematics and Informatics13(1) (2017), 145–152.
7.
AmeenZ.A., AsaadB.A. and Al-shamiT.M., Soft somewhat continuous and soft somewhat open functions, Accepted in TWMS J of Apl and Eng Math, 2021.
8.
AtanassovK.T., Intuitionistic fuzzy sets, In Intuitionistic fuzzy sets, Springer, 1999, pp. 1–137.
9.
AygünoğluA. and AygünH., Some notes on soft topological spaces, Neural computing and Applications21(1) (2012), 113–119.
10.
BayramovS. and GunduzC., Soft locally compact spaces and soft paracompact spaces, Journal of Mathematics and System Science3(3) (2013), 122.
11.
BayramovS. and GunduzC., A new approach to separability and compactness in soft topological spaces, TWMS Journal of Pure and Applied Mathematics9(21) (2018), 82–93.
12.
ÇağmanN., KarataşS. and EnginogluS., Soft topology, Computers & Mathematics with Applications62(1) (2011), 351–358.
13.
ChangC.L., Fuzzy topological spaces, Journal of mathematical Analysis and Applications24(1) (1968), 182–190.
El-ShafeiM.E. and Al-Shami.T.M., Applications of partial belong and total non-belong relations on soft separation axioms and decision-making problem, Computational and Applied Mathematics39(3) (2020), 1–17.
16.
El-ShafeiM., Abo-ElhamayelM. and Al-ShamiT., Partial soft separation axioms and soft compact spaces, Filomat32(13) (2018), 4755–4771.
17.
GauW.L. and BuehrerD.J., Vague sets, IEEE transactions on systems, man, and cybernetics23(2) (1993), 610–614.
18.
HussainS., Binary soft connected spaces and an application of binary soft sets in decision making problem, Fuzzy Information and Engineering11(4) (2019), 506–521.
19.
HussainS. and AhmadB., Some properties of soft topological spaces, Computers & Mathematics with Applications62(11) (2011), 4058–4067.
20.
KandemirM.B. and YılmazD., A study on compact structural soft sets and an application method, Complex & Intelligent Systems6(2) (2020), 401–409.
21.
LinF., Soft connected spaces and soft paracompact spaces, International Journal of Mathematical and Computational Sciences7(2) (2013), 277–283.
22.
MahantaJ. and DasP.K., On soft topological space via semiopen and semiclosed soft sets, Kyungpook Math J54 (2014), 221–236.
23.
MajiP.K., BiswasR. and RoyA.R., Soft set theory, Computers & Mathematics with Applications45(4-5) (2003), 555–562.
24.
MashhourA., On supratopological spaces, Indian J Pure Appl Math14 (1983), 502–510.
25.
MinW.K., A note on soft topological spaces, Computers & Mathematics with Applications62(9) (2011), 3524–3528.
26.
MolodtsovD., Soft set theory– first results, Computers & Mathematics with Applications37(4-5) (1999), 19–31.
27.
NazmulS. and SamantaS., Neighbourhood properties of soft topological spaces, Ann Fuzzy Math Inform6(1) (2013), 1–15.
28.
PawlakZ., Rough sets, International journal of computer & information sciences11(5) (1982), 341–356.
29.
PeiD. and MiaoD., From soft sets to information systems, In, 2005 IEEE international conference on granular computing2 (2005), 617–621.
30.
RoyA.R. and MajiP., A fuzzy soft set theoretic approach to decision making problems, Journal of computational and Applied Mathematics203(2) (2007), 412–418.
31.
ShabirM. and NazM., On soft topological spaces, Computers & Mathematics with Applications61(7) (2011), 1786–1799.
32.
TerepetaM., On separating axioms and similarity of soft topological spaces, Soft Computing23(3) (2019), 1049–1057.
33.
YumakY. and KayakciA.K., Soft β-open sets and their applications, Journal of New Theory4 (2015), 80–89.
34.
ZadehL., Fuzzy sets, Information and Control8(3) (1965), 338–353.