Modeling and optimization of multi objective non-linear programming problem in intuitionistic fuzzy environment

被引:63
作者
Singh, Sujeet Kumar [1 ]
Yadav, Shiv Prasad [1 ]
机构
[1] Indian Inst Technol, Dept Math, Roorkee 247667, Uttar Pradesh, India
关键词
Multiple objective programming; Intuitionistic fuzzy number; Accuracy function; Nonlinear programming; DECISION-MAKING; PARAMETERS;
D O I
10.1016/j.apm.2015.03.064
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In dealing with real world practical optimization problems, a decision maker usually faces a state of uncertainty as well as hesitation, due to various unpredictable factors. Sometimes it is necessary to optimize, several non-linear and conflicting objectives simultaneously. To deal with the uncertain parameters which arise in such situations, intuitionistic fuzzy numbers are utilized. We formulate a multiobjective non-linear programming problem in intuitionistic fuzzy environment. We propose a linear ranking function and utilize it to convert the intuitionistic fuzzy model into a crisp model. After converting the problem into equivalent crisp problem, we propose a non-linear membership function and develop various approaches for solving it by using different operators and fuzzy programming technique. We apply our methodologies for justification to a numerical problem in manufacturing systems. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:4617 / 4629
页数:13
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