[PDF] Top 20 Another‎ Method for Defuzzification Based On Characterization of Fuzzy ‎Numbers

... of fuzzy numbers cess. In addition to a fuzzy environment, rank- ing is a very important decision making proce- ...the fuzzy numbers in 1976(1978), many authors have investigated var- ... See full document

... new method for the defuzzification of fuzzy numbers is developed in this ...well-known, defuzzification methods allow us to find aggregative crisp numbers or crisp set for ... See full document

... of fuzzy numbers, calculation of the left and right normalized value, computation of the total normalized value and calculation of crisp value (Mahdi Mahmoodi, 2014), There are a lot of ... See full document

... path method in a fuzzy environment. The trapezoidal fuzzy number given by decision makers or characterized by historical data are utilized to assess the activity time in a project ...The fuzzy ... See full document

... Several stopping rules can be used. One is to terminate the algorithm when the relative change in the centroid values becomes small, or when the objective function can no longer be minimized. After that, ... See full document

... our method yields trapezoidal fuzzy numbers with closer cores in comparison with the ones obtained from the other four ...form fuzzy numbers, our method can approximate all the ... See full document

... different fuzzy numbers. Based on these values we proposed a simple ranking method for trapezoidal and triangular fuzzy ...proposed method can successfully rank fuzzy ... See full document

... The paper is organized as follows: Section 2 re- views some basic definitions and arithmetics be- tween two trapezoidal fuzzy numbers. In Section 3, Ranking function radius of gyration for solv- ing FFLP ... See full document

... analyzed fuzzy priority queues by L-R Method, based on L-R fuzzy numbers, L-R fuzzy arithmetic using the concept of triangular fuzzy ...numbers. Fuzzy ... See full document

... ranking method based on the ranking index has been developed and using this method, MADM problems in which the ratings of alternatives on attributes are expressed as TIFNs are solved by the extended ... See full document

... of fuzzy mathematical programming was first proposed by Tanaka et ...(1974) based on the fuzzy decision framework of Bellman and Zadeh (1970) to address the impreciseness and vagueness of the ... See full document

... produced. Based on these points, this paper presents an intelligent fault diagnosis method of power transformer using fuzzy fault tree analysis (FTA) and beta distribution for failure possibil- ity ... See full document

... ranking fuzzy numbers with integral ...distance method by Cheng ...procedures based on fuzzy mean and spread and second class consists ranking procedures based on fuzzy ... See full document

... 2.2 Review of some ranking fuzzy numbers 2.2.1 Cheng’s Ranking method Cheng [28] ranked fuzzy numbers with the distance method using the Euclidean distance between the Centroid point and[r] ... See full document

... a method for solving an arbitrary general fuzzy linear system by using the weighted ...two fuzzy numbers, the best and nearest approximation fuzzy symmetric vector can be ...n ... See full document

... Fuzzy numbers is an extremely suitable method- ology that embraces adequately subjective knowl- edge and objective knowledge. Zadeh [33] stated some basic results linked to the development of ... See full document

... solving fuzzy linear programming (FLP) problems, it has been used frequently by a number of authors in various fields [5, ...with fuzzy technological coefficients and fuzzy right-hand-side ... See full document

... is another popular clustering method defined under the fuzzy ...The method is able to identify the clusters based on the fuzzy driven ...The method is able to minimize the ... See full document

... multi-objective fuzzy games. Based on fuzzy duality theory [3, 4, 5], Bector et ...with fuzzy goals and fuzzy payoffs is equivalent to a pair of linear programming ...trapezoidal ... See full document

... The unbalanced assignment problem is a special type of linear programming problem in which our objective is to assign number of salesman’s to number of areas at a minimum cost(time). The mathematical formulation of the ... See full document