[PDF] Top 20 On the max - ``Fuzzy Or'' composition fuzzy inequalities systems

... is concerned with detecting the minimal solutions for FREs [2]. Markovskii showed that solving max-product FRE is closely related to the covering problem which is an NP-hard problem [47]. In fact, the same result ... See full document

... with max-strict t-norm com- position ...with max-T composition where T is a continuous Archimedean ...the max-strict t-norm and different to max-continuous Archimedean t-norm, ...i.e. ... See full document

... In this paper we study the solution set of system (1) and solve problem (3). In order to determine the feasible domain of problem (3), we need to find the minimal solutions of its feasible domain. But the generating all ... See full document

... of fuzzy relation inequalities problem and opti- mize the linear objective function on this region which is defined with fuzzy max-Lukasiewicz ... See full document

... two fuzzy matrices X and Y where X and Y are compatible under ...two fuzzy matrices under usual matrix multiplication is not a fuzzy ...are max-min operation and min-max ... See full document

... for max-average ...of fuzzy automata under min-max composition and to prove the analogue of Myhill Nerode Theorem for min - max ... See full document

... Intuitionistic fuzzy set, a significant generalization of fuzzy set, can be useful in situations when description of a problem by a linguistic variable, given in terms of a membership function only, seems ... See full document

... 4. Concluding remarks. In this paper, a system of fuzzy linear inequalities is stud- ied. It shows that solving such problems can be reduced to a regular min-max problem. An entropic regularization ... See full document

... L-R fuzzy variables. Also, based on the fuzzy max order several models in non-symmetrical L-R fuzzy environment is constructed and the existence condition of Nash equilibrium strategies of the ... See full document

... different max-t compositions have been investigated by many researchers [33, 35, 36, 39, 41, 42, 44, 47, ...of fuzzy relational inequalities (FRI) [13, 15, 16, 20, 25, ...mixed fuzzy system ... See full document

... interval-valued fuzzy relational ...the max-min interval-valued fuzzy relational ...of fuzzy relational ...general max-t-norm ... See full document

... the max-min and max-product composition operator have been considered by Li et ...the max-min and max-average composition operator in a similar method with Li et al’s ...the ... See full document

... Abstra ct. In this paper, new algorithm is proposed to solve the Interval valued (I – V) fuzzy relational equation P·Q = R with max-min composition and max product composition. The ... See full document

... Takagi-Sugeno fuzzy models with time delay. Using fuzzy weighting- dependent Lyapunov-Krasovskii functionals, new sufficient stability criteria are established in terms of Lin- ear Matrix Inequality; hence ... See full document

... a fuzzy norm on a vector space to construct a fuzzy vector topological structure on the ...defined fuzzy norms on a vector space from various points of view ...a fuzzy norm in such a manner ... See full document

... order fuzzy dif- ferential equations F DE with fuzzy initial value under strongly generalized H-differentiability was ...of fuzzy differential equations in 0-cut and 1-cut cases were found then ... See full document

... negative variables subject to fuzzy linear constraints. A system of system always has the trivial solution presented a fuzzy approach to multi objective linear programming problem. He also proposed a new ... See full document

... A fuzzy point e is called an accumulation point of a fuzzy set A if and only if e is an adherence point of A and every Q-neighborhood of e and A are quasi-coincident at some point different from supp(e), ... See full document

... intuitionist fuzzy sets (IFS) paradigm to construct an efficient load balancing scheme in cloud computing environment is ...classical fuzzy logic by an intuitionist fuzzy logic, illustrated on an ... See full document

... modified fuzzy neural networks for solving fuzzy differential ...modified fuzzy neural networks to approximate the solutions of ...modified fuzzy neural networks was their applicability in ... See full document