The Assignment Problem is one of the most studied, well known and important problem in mathematics and is used very often in solving problems of engineering and management sciences. In this problem denotes the cost for assigning the job to the person. This cost is usually deterministic in nature. In this paper has been considered to be generalized trapezoidal intuitionistic fuzzy numbers denote...

We perform a comprehensive theoretical and experimental analysis of the use of all-diierent constraints. We prove that generalized arc-consistency on such constraints lies between neighborhood inverse consistency and, under a simple restriction, path inverse consistency on the binary representation of the problem. By generalizing the arguments of Kondrak and van Beek, we prove that a search alg...

We perform a comprehensive theoretical and experimental analysis of the use of all-different constraints. We prove that generalized arc-consistency on such constraints lies between neighborhood inverse consistency and, under a simple restriction, path inverse consistency on the binary representation of the problem. By generalizing the arguments of Kondrak and van Beek, we prove that a search al...

Many constraint toolkits provide logical connectives like disjunction, negation and implication. These permit complex constraint expressions to be built from primitive constraints. However, the propagation of such complex constraint expressions is typically limited. We therefore present a simple and light weight method for propagating complex constraint expressions. We provide a precise charact...

in this paper the solution of a second order linear dierential equations with intu-itionistic fuzzy boundary value is described. it is discussed for two dierent cases: coecientis positive crisp number and coecient is negative crisp number. here fuzzy numbers aretaken as generalized trapezoidal intutionistic fuzzy numbers (gtrifns). further a numericalexample is illustrated.

This paper first improves Chen and Hsieh’s definition of generalized fuzzy numbers, which makes it the generalization of definition of fuzzy numbers. Secondly, in terms of the generalized fuzzy numbers set, we introduce two different kinds of orders and arithmetic operations and metrics based on the λ-cutting sets or generalized λ-cutting sets, so that the generalized fuzzy numbers are integrat...

Kumar et al. (A new approach for solving fuzzy maximal flow problems, Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg 5908 (2009) 278-286) proposed a new algorithm to find the fuzzy maximal flow between source and sink by representing the flow as normal triangular fuzzy numbers. Chen (Operations on fuzzy numbers with function principal, Tamkang Journal of Management Scienc...

A non-binary Constraint Satisfaction Problem (CSP) can be solved by converting the problem into an equivalent binary one and applying well-established binary CSP techniques. An alternative way is to use extended versions of binary techniques directly in the non-binary problem. There are two well-known methods in the literature for translating a non-binary CSP to an equivalent binary one; the hi...

In this study, a distributed fuzzy filter is proposed for non-linear state estimation problem on the possibilistic framework. Firstly, instead of Gaussian distribution probability framework, process and observation noises are modelled as random variables with trapezoidal possibility distributions. Secondly, novel square root cubature information filtering (SRFCIF) algorithm to deal noise; varia...

generalized resolvent equations; variational inclusions; algorithm; convergence; generalized pseudocontractive mapping