Title :
Ranking of trapezoidal intuitionistic fuzzy numbers
Author :
De, P.K. ; Das, Divya
Author_Institution :
Nat. Inst. of Technol. Silchar, Silchar, India
Abstract :
Techniques for ranking simple fuzzy numbers are abundant in nature. However, we lack effective methods for ranking intuitionistic fuzzy numbers(IFN). The aim of this paper is to introduce a new ranking procedure for trapezoidal intuitionistic fuzzy number(TRIFN). To serve the purpose, the value and ambiguity index of TRIFNs have been defined. In order to rank TRIFNs, we have defined a ranking function by taking sum of value and ambiguity index. To illustrate the the proposed ranking method a numerical example has been given.
Keywords :
fuzzy set theory; TRIFN; ambiguity index; ranking procedure; trapezoidal intuitionistic fuzzy number; value index; Conferences; Decision making; Fuzzy sets; Indexes; Intelligent systems; Linearity; Uncertainty; Intuitionistic fuzzy number(IFN); ambiguity index; ranking of TRIFN; trapezoidal intuitionistic fuzzy number(TRIFN); value index;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-5117-1
DOI :
10.1109/ISDA.2012.6416534
