It is well known while dealing with uncertainty, fuzzy sets are assumed to be more efficient than ordinary. In this article, the existence results for a certain types of the system of fuzzy differential inclusions with integral types of local conditions have been obtained. Two systems of fuzzy differential inclusions are considered, the existence result for first system is obtained by using a well-known topological fixed point result, while for the other, a multivalued fixed point result is used. This study has generalized many results present in the literature. To validate the study, non-trivial examples are provided.
Most of the phenomena existing in the nature shows uncertain behavior and Zadeh [21] introduced an effective notion of fuzzy sets to handle the vagueness of the data. Due to the flexible nature of fuzzy set theory, acquired an important place in almost every field of science (social as well as natural). Differential equations (DEs) are most important tool amongst the scientists in case of the mathematical modeling for physical real life problems. Modeling with uncertainty by ordinary differential equations may loose the accuracy, while using fuzzy differential equations (FDEs) could be more suitable option. In this regard many researchers have been attracted and motivated to model the physical uncertain problems using FDEs.
Chang [6] introduced the concept of fuzzy derivatives. In [9], the authors exploit these notions by using Zadeh’s extension principle. Seikkala [19] used the generalized Hukuhara derivative as a fuzzy derivative, which enhanced the modeling techniques of incomplete and uncertain systems. For a detailed study in the theory of fuzzy differential equations we refer the readers to the monographs [10, 13].
The theory of fuzzy partial differential equations was first investigated in [5]. Afterwards many authors explored this field in various directions, (for example) [1, 18], and the references therein. The theory of fuzzy ordinary and partial differential equations is although very young but still evident and has attraction for the researchers, dealing with ambiguous results. The theory of differential inclusion is also very innovative in the sense of modeling the physical problems. In [22], Zhu and Rao discussed the existence of solution of a problem involving fuzzy differential inclusion after that Min et.al, in [16], generalized this method for a system of fuzzy differential inclusions. Recently, Mehmood and Azam [15] presented a model for hyperbolic type partial fuzzy differential inclusion with integral local conditions and also discussed the existence of solution of fuzzy partial differential inclusions.
In this article, we extend the study related to the existence of solutions to the system of fuzzy partial differential inclusions. These results will be useful in application point of view and generalized known results in the literature, for instant [11, 22]. We also provide an example to justify our main result.
Preliminaries
Let be the family of all nonempty, convex and compact subsets of The Hausdorff distance in is defined as:
Then is a complete and separable space.
Let (X, d) and (Y, d1) be two metric spaces and N : X → 2Y be a set-valued mapping, N is said to be upper semicontinuous at x0 ∈ X if and only if for any neighborhood U of N (x0) , there exists a neighborhood V of x0, such that N (x) ⊂ U for all x ∈ V .
Every fuzzy map can generate a real valued function where for
A fuzzy mapping where is called lower open if N(x,y,u) (w) is lower semicontinuous in (x, y, u) ∈ Ω .
Main results
In this section first we present few results from literature, these results will be useful to prove our main results. We proved existence results for two types of fuzzy differential inclusions, first for a given fuzzy mapping, the differential term belongs to the closed level sets of fuzzy mapping and in second it belongs to the open level sets of a given fuzzy mapping. Let us start with a very useful proposition.
Let D be a paracompact Hausdorff topological space, Y be a topological vector space and N : D → 2Y be a multivalued nonempty convex valued function. If N has open lower sections, that is; for any y ∈ Y, N-1 (y) is open in D, then there exists a continuous selection f : D → Y such that f (x) ∈ N (x) for all x ∈ D .
Let be an open set, (t, x, y) ∈ Ω and an upper semicontinuous set-valued operator. Then there exists an open interval J of for a > 0, M > 0, such that;
||T (t, x, y) || ≤ M on
Where K (X) denotes the collection of compact subsets of X .
Let X be a Banach space and S, T : J → K (X) be two multivalued measurable operators. If v (t) ∈ S (t) , is measurable selection, then there exists a measurable selection u (t) ∈ T (t) such that;
for all t ∈ J .
Now we present our first problem in which for a given pair of fuzzy mappings, the inclusions holds for open level sets of the fuzzy maps, the differential inclusion problem is given as;
Problem
Let be two Banach spaces with norm || · ||∞ and Ω be an open subset of Let be any two fuzzy mappings and are upper semicontinuous functions. Consider the following system of fuzzy partial differential inclusions:
and
for (w, x, u, v) ∈ Ω, with local conditions of integral type
This problem is equivalent to
and
with integral type conditions (C1) .
In the next Theorem 3.5, the existence of a common solution of the above system of fuzzy partial differential inclusion will be obtained.
Theorem
Suppose that are bounded convex and lower open fuzzy surjections and are upper semicontinuous functions such that (F(w,x,u(w,x),v(w,x))) α(u,v) and (G(w,x,u(w,x),v(w,x))) β(u,v) are nonempty for each (w, x, u, v) ∈ Ω . Then there exist continuous selections with and such that
and
Proof. We define two set-valued functions as;
Clearly and are nonempty for each (w, x, u, v) ∈ Ω. Consider for , and θ, σ∈ [0, 1] ;
the convexity of F and G implies and thus and are convex on Ω . Now to show that and have open lower sections. Consider for any
and
It is enough to prove that the complements of and that is, the sets;
and
respectively are closed. Let (wn, xn, un, vn) be a sequence in the complement of i.e., such that (wn, xn, un, vn) → (w, x, u, v) . Since F is lower open and α is upper semicontinuous we have;
which implies
Thus and hence has open lower sections. Similarly we can prove the closeness of . Thus by Proposition 3.1 there exist continuous selections such that and (G(w,x,u(w,x),v(w,x))) β(u,v) for each (w, x, u, v)∈ Ω . As F and G are surjections and (v (w, x)) and are bounded we get the problem
with local conditions (C1) .■
Problem
Now consider the following system of fuzzy partial differential inclusion:
and
for (w, x, u, v) ∈ Ω, with local conditions of integral type conditions (C1) . The problem is equivalent to
and
with integral type conditions (C1) .
In the next Theorem 3.7, we find the existence result for the solution of above system of fuzzy partial differential inclusions.
Theorem
Let and are both uniformly continuous and fuzzy integrably bounded, are uniformly continuous. If for every (w, x, u, v) and in Ω, there exist λ1, λ2, λ3, λ4 ∈ (0, ab) such that (i)
and
Then there exists a solution of above Problem 3.6 .
Proof. Define two set-valued functions and by
for each (w, x, u, v) ∈ Ω. To show, both of the mappings and are upper semicontinuous. Here only the case for has been considered, similar arguments will be assumed for Now for a given consider the neighborhood of as follows;
For (w, x, u, v) ∈ Ω and we have
Since [F (w, x, u, v)] α(u,v) is uniformly continuous for each α (u, v) and α is also uniformly continuous, and using above inequality, we can find a small enough neighborhood W of in Ω, such that for all (w, x, u, v) ∈ W and
thus
which shows is upper semicontinuous. So by using the Lemma 3.2, there exists a real constant ρ > 0 such that
Let
with a metric defined by;
and let
with a metric defined by;
Then (U, dU) and (V, dV) both are complete generalized metric spaces. Now we consider
and let be a metric on U × V, defined by
then (U × V, dU×V) is a complete generalized metric space. Define an operator S : U × V → 2U×V by
Where
and
Also
and
are multivalued double integral of Aumann type [4], defined by
and
for each α, β ∈ (0, 1] . Clearly S (u, v) = φ for all (u, v) ∈ U × V . Since the multivalued operators
and
are both upper semicontinuous with compact values, therefore by using the well known selection Theorem of Kuratowski-Ryll-Nardzewski [12], and have measurable selections and for all (w, x) ∈ I, are Lebesgue integrable by given conditions. Let
and
so that , thus S (u, v) = φ . Next we claim that S (u, v) is closed for all (u, v) ∈ U × V . Let (un, vn) be a sequence in S (u, v) converges to Since
and
and the sets [4]
and
are closed, which implies Now we prove that S is a multivalued contraction. For this let (u2, v2) ∈ S (u1, v1) , which implies there exists and such that
and
Then by applying Lemma 3.3, we get a pair of measurable selections and which gives
and
Let (u3, v3) ∈ S (u2, v2) , then
and
Now consider
so we have,
Also consider
which implies
Thus we have
where Θ = max { λ1, λ2 } + max { λ3, λ4 } . By interchanging (u1, v1) and (u2, v2) , we get similar inequalities and thus
for all (u1, v1) , (u2, v2) ∈ U × V . Since so by Nadler’s Theorem [17], there exists a fixed point (u, v) ∈ S (u, v). This proves the result.■
It is very difficult to find the solutions of differential inclusions, but in the next examples we consider the systems of differential inclusions under some conditions to obtain their solutions by using our main results. In the next example a system of fuzzy differential inclusions is solved by using Theorem 3.5.
Example
Consider the hyperbolic PDI
and
with boundary conditions;
and w, x ∈ Δ, where Δ is a bounded rectangle in plane. Suppose that be bounded convex and lower open fuzzy surjections and be the upper semicontinuous functions such that
and
is nonempty for each (w, x, u, v) ∈ Ω, where χ is the characteristic function. As
is zero. Then by Theorem 3.5, there exist two continuous selections
and
for each (w, x, u, v) ∈ Ω, such that
and
Which implies
and
Hence the common solution of the system
is thus
In the next example a system of fuzzy differential inclusions is solved by using Theorem 3.7.
Example
Consider a system of fuzzy differential inclusions
and defined by
where (e-2(x+w) ; 2e-2(x+w)) S is a symmetric triangular fuzzy number with compact support [e-2(x+w), 2e-2(x+w)]. Let then for any α ∈ [0, 1] , the α-level sets are
Clearly F is convex and bounded. Now for α, β ∈ [0, 1] , consider
All the calculations will remain same for the case of G(x,w,u,v), and thanks to Theorem 3.7 which allows us to obtain f (x, w, u, v) ∈ [F(x,w,u,v)] α and g (x, w, u, v) ∈ [G(x,w,u,v)] α such that
and
By simple investigation here we find f (x, w, u, v) = g (x, w, u, v) = q (x, w) e-2(x+w), therefore we get the system
with common solution
Competing Interests
The authors are grateful to Higher Education Commission (HEC) of Pakistan, for providing the grant of project no: 5766 under National Research Program for Universities.
Footnotes
Acknowledgments
We are grateful to referees and editor for their useful suggestions and comments to improve this article.
References
1.
AraraA. and BenchohraM., Fuzzy solutions for boundary value problems with integral boundary conditions, Acta Mathematica Universitatis Comenianae75(1) (2006), 119–126.
2.
AraraA., BenchohraM., NtouyasS.K. and OuahabA., Fuzzy solutions for hyperbolic partial differential equations, International Journal of Applied Mathematical Sciences2(2) (2005), 181–195.
3.
J.P Aubin and A. Cellina, Differential inclusions: Set-valued maps and viability theory, Springer Science & Business Media, 264, 2005.
4.
AumannR.J., Integrals of set-valued functions, J Math Anal Appl12(1) (1965), 1–12.
5.
BuckleyJ. and FeuringT., Introduce to fuzzy partial differential equations, Fuzzy Sets and Systems105 (1999), 241–248.
6.
ChangS.L. and ZadehL.A., On fuzzy mapping and control, IEEE Transactions on Systems, Man, and Cybernetics2 (1972), 30–34.
7.
S.S Chang, Fixed Point Theory with Applications, Chongqing Publishing House, Chongqing, 1984.
8.
ChenY.Y., ChangY.T. and ChenB.S., Fuzzy solutions to partial differential equations: Adaptive Approach, IEEE Transactions on Fuzzy Systems17(1) (2009), 116–127.
9.
DuboisD. and PradeH., Towards fuzzy differential calculus part 3: Differentiation, Fuzzy Sets and Systems8 (1982), 225–233.
10.
GomesL.T. and deL.C., Barros and B. Bede, Fuzzy differential equations in various approaches, Berlin: Springer, 2015.
11.
HüllermeierE., An approach to modeling and simulation of uncertain dynamical systems, Internat J Uncertain Fuzziness Knowledge-Based Systems5 (1997), 117–137.
12.
KuratowskiK. and Ryll-NardzewskiC., A general theorem on selectors, Bull Polish Acad Sci12 (1965), 397–403.
13.
LakshmikanthamV. and MohapatraR., Theory of fuzzy differential equations and inclusions, London: Taylor and Francis Publishers, 2003.
14.
LongH.V., SonN.T.K. and HaN.T.M., The existence and uniqueness of fuzzy solutions for hyperbolic partial differential equations, Fuzzy Optimization and Decision Making13(4) (2014), 435–462.
15.
MehmoodN. and AzamA., Existence results for fuzzy partial differential inclusions, Journal of Function Spaces (2016) 8. Article ID 6759294. 10.1155/2016/6759294.
16.
MinC., LiuZ.B., ZhangL.H. and HuangN.J., On a system of fuzzy differential inclusions, Filomat29(6) (2015), 1231–1244.