Solving intuitionistic fuzzy linear programming problems by ranking function

被引：20

作者：

Suresh, M. ^{[1
]}

Vengataasalam, S. ^{[1
]}

Prakash, K. Arun ^{[1
]}

机构：

[1] Kongu Engn Coll, Dept Math, Perundurai 638052, Erode, India

来源：

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2014年 / 27卷 / 06期

关键词：

Intuitionistic fuzzy set; triangular intuitionistic fuzzy number; ranking of triangular intuitionistic fuzzy numbers; intuitionistic fuzzy linear programming problem;

D O I：

10.3233/IFS-141265

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Ranking fuzzy numbers plays a very important role in the decision process, data analysis and applications. The concept of an intuitionistic fuzzy number (IFN) is of importance for quantifying an ill-known quantity, and the ranking of IFNs is a very difficult problem. In this paper ranking of triangular intuitionistic fuzzy numbers (TIFNs) is made by means of magnitude and applied to solve intuitionistic fuzzy linear programming problem. Numerical examples are examined to demonstrate the implementation of ranking method.

引用

页码：3081 / 3087

页数：7

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