[PDF] Top 20 Model for Solving Fuzzy Multiple Objective Problem

... When any of the ordinary linear programming (LP) method or the existing solution algorithms is used to solve DPD problems, the objectives and model inputs are generally assumed to be precisely given (crisp). ... See full document

... In this section, we present a novel, multi-objective dynamic CFP with fuzzy parameters. The considered manufacturing system consists of several parts that required a number of operations on different ... See full document

... and multiple- shift scheduling [4-13]. In multiple-shift scheduling, each day is divided into several shifts, and scheduling determines which days of planning horizon and which hours of the day each ... See full document

... programming problem to obtain one of optimal solutions to the ...reformulated problem is NP-hard, we need to propose an efficient so- lution method for the ...knapsack problem, which is designed based ... See full document

... for solving bicriteria STP with fuzzy ...TP model with fixed charges and vechile costs where all unit discount ...introduced fuzzy STP in the case in which the fuzziness affects the constraint ... See full document

... multi- objective programming. [1] presents an alternative method based on fuzzy programming for solving multi-objective linear bi-level multi-follower programming problem in which there ... See full document

... of fuzzy game is the way to deal with these situations related to the payoff ...a fuzzy logic[10] and the Applications of fuzzy sets[11] by ... See full document

... (LFP) problem is one of the most important techniques in operation ...programming model; hence this model is an indispensable tool for today’s applications such as financial sector, hospitality, ... See full document

... of fuzzy multi-objective quadratic model with flexible constraints for optimal allocation of limited available water resources among different water-user ...allocation problem is one of the ... See full document

... Solving multi-level multi-objective linear programming problems through fuzzy goal. 680[r] ... See full document

... The motivation of the present study is to give computational algorithm for solving multi-objective nonlinear programming problem by fuzzy optimization approach. We also aim at studying the ... See full document

... Intuitionistic Fuzzy Set (IFS) can be used as a general tool for modeling problems of decision making under uncertainty where, the degree of rejection is defined simultaneously with the degree of acceptance of a ... See full document

... single objective algorithms to the multi-objective form, the main procedure of solving has to be ...of solving MOPs with the PSO algorithm that uses an external archive of particles that is ... See full document

... multi objective model minimizing total costs, environmental impact, imported fuel and fuel price risks simultaneously and decide about the location of the planned generation units taking into account the ... See full document

... above problem is formulated as a bi-level multi-objective intuitionistic fuzzy linear programming problem with symmetric trapezoidal intuitionistic fuzzy numbers for each indecisive ... See full document

... generalized model for a multi-objective matrix game with fuzzy goals and fuzzy payoffs via fuzzy relation approach is presented in this ...that solving such a game is equivalent ... See full document

... The problem of Game theory defined as a body of knowledge that deals with making decisions when two or more intelligent and rational opponents are involved under conditions of conflict and ...to model some ... See full document

... To conclude from the above, given the advantages of T2FSs, applying them in project environment is a practical approach. However, only a small number of studies have applied them to address project uncertainty. On the ... See full document

... Step 5. If some nonbasic variable at x k does not generate feasible non basic solution to P1 when alter marginally discard it. Oterwise determine the DM’S preferred in the direction of trade offs between the ... See full document

... for solving a bi-objective vehicle routing problem with forced backhauls were introduced by Anbuudayasankar et ...a fuzzy programming for the multi-objective vehicle routing problems ... See full document