[PDF] Top 20 Solution of a Fuzzy Assignment Problem by Using a New Ranking Method

... Assignment Problem (AP) is used worldwide in solving real world ...An assignment problem plays an important role in industry and other ...an assignment problem, n jobs are to be ... See full document

... Intuitionistic Fuzzy Assignment Problem with the Trapezoidal Intuitionistic fuzzy numbers is ...the solution of Intuitionistic Fuzzy Assignment ...Problem. ... See full document

... feasible fuzzy assignment ...-Trapezoidal fuzzy numbers. Which stores the partial feasible fuzzy assignment is defined by if column ‘j’ is assigned to row ‘i’ then row(j) = i; if column ... See full document

... A new method namely, parallel moving method is proposed to find an optimal solution to the fuzzy assignment problem considered in Lin and Wen ...optimal solution to ... See full document

... different new ranking methods namely “Ranking of Fuzzy Numbers with New Area Method” and “revised SD of Point of Intersection of Legs of Trapezium (PILOT) ranking ... See full document

... an assignment problem with fuzzy cost by Yager’s ranking method [12] which transforms the fuzzy assignment problem into a crisp assignment ...minimizing ... See full document

... of fuzzy set was introduced by Zadeh [15] in 1965 and it dealt with imprecision, vagueness in real life ...Intutitionistic fuzzy sets and their applications to deal with ...intuitionistic fuzzy sets ... See full document

... Intuitionistic Fuzzy Assignment Problem whose cost being taken as Triangular Intuitionistic Fuzzy Number is ...optimal solution is obtained by defuzzifying the costs into crisp values ... See full document

... choose assignment problem with fuzzy cost coefficient, for the uncertainties factors in real life situations are presented as fuzzy pentagon numbers and we evaluate cardinality ...value ... See full document

... Hungarian method for solving assignment problem was developed by ...[5]. Fuzzy set concept was introduced by Zadeh in 1965 [16] in order to handle vagueness or imprecision or ...the ... See full document

... The assignment problem is one of the earliest applications and is a special case of Operation Research problem, which deals with available sales-force to different regions: vehicles to toutes; ... See full document

... the assignment problem with fuzzy interval number cost by a labeling algorithm ...a fuzzy assignment model that con- siders all individuals to have same skills ...of fuzzy ... See full document

... transportation problem. Zimmermann [27] fuzzy linear programming has developed into seven fuzzy optimization methods for solving transportation ...a new algorithm for the solution of ... See full document

... transportation problem is an important problem which has been widely used in Operation ...this problem we determine the optimal shipping patterns between origins or sources and ...for ranking ... See full document

... The assignment problem is a special type of linear programming problem in which our objectives is to a minimum cost ...the problem suggests that this is a programming problem and is ... See full document

... Ranking fuzzy numbers were first proposed by Jain [8] for decision making in fuzzy situations by representing the ill-defined quantity as a fuzzy ...these ranking methods have been ... See full document

... Intuitionistic Fuzzy Transportation Problem with the Trapezoidal Intuitionistic fuzzy ...initial solution of Intuitionistic Fuzzy Transportation Problem and a method to ... See full document

... as fuzzy quantifiers that characterize linguistic variables represented by trapezoidal fuzzy ...The fuzzy sequencing problem has been transformed into crisp sequencing problem ... See full document

... transportation problem is a special linear programming problem which arises in many practical ...for fuzzy transportation problem. This paper proposes a ranking method to find ... See full document

... D.M. Doke et al. [5,6] developed an algorithm to solve multi objective fractional programming by Taylor series approach and fuzzy compromise approach. Further they also developed an algorithm to solve multi ... See full document