Ranking Of Intuitionistic Fuzzy Numbers

被引：0
|
作者：
Nayagam, V. Lakshmana Gomathi [1 ]
Venkateshwari, G. [2 ]
Sivaraman, Geetha [3 ]
机构：
[1] Natl Inst Technol, Dept Math, Tiruchirappalli, India
[2] PSG Coll Technol, Dept Math, Coimbatore, Tamil Nadu, India
[3] Anna Univ, Dept Math, Tiruchirapalli, India
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The notion of fuzzy subsets was introduced by L.A.Zadeh (1965) and it was generalised to intuitionistic fuzzy subsets by K.Atanassov [1]. After the invention of intuitionistic fuzzy subsets, many real life problems are studied accurately [7, 13, 14]. The measure of fuzziness was studied in [12, 16]. The ranking of intuitionistic fuzzy numbers plays a main role in modelling many real life problems involving intuitionistic fuzzy decision making, intuitionistic fuzzy clustering. H.B.Mitchell introduced a method of ranking intuitionistic fuzzy numbers in [10]. In this paper, a new method of intuitionistic fuzzy scoring to intuitionistic fuzzy numbers that generalizes Chen and Hwang's scoring method for ranking of intuitionistic fuzzy numbers has been introduced and studied.
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页码：1973 / +
页数：2
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