Solving Intuitionistic Fuzzy Solid Transportation Problem Via New Ranking Method Based on Signed Distance

被引:13
|
作者
Aggarwal, Shashi [1 ]
Gupta, Chavi [1 ]
机构
[1] Univ Delhi, Dept Math, Miranda House, Delhi 110007, India
关键词
Intuitionistic fuzzy number; signed distance; solid transportation problem; SENSITIVITY-ANALYSIS;
D O I
10.1142/S0218488516500240
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, signed distance of Symmetrical Intuitionistic Fuzzy Numbers (SIFNs) is introduced. Based on this signed distance and the crisp ranking system on real numbers, a new ranking system for SIFNs is defined, which seems to be very realistic. To illustrate the applicability and suitability of the proposed ranking method and to deal with ambiguity and imprecision, one of the vital mathematical programming problem viz. Solid Transportation Problem (STP) is formulated in intuitionistic fuzzy environment. A new method has been proposed to compute initial basic feasible solution for the same. Also the significance of the proposed approach over existing methods is illustrated. Finally numerical examples are solved to demonstrate the efficiency of the proposed methods.
引用
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页码:483 / 501
页数:19
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