Title :
Ranking of intuitionistic fuzzy numbers
Author :
Gomathi Nayagam, Lakshmana V. ; Venkateshwari, G. ; Sivaraman, Geetha
Author_Institution :
Dept. of Math., Nat. Inst. of Technol., Tiruchirapalli
Abstract :
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 Hwangpsilas scoring method for ranking of intuitionistic fuzzy numbers has been introduced and studied.
Keywords :
fuzzy logic; fuzzy set theory; number theory; intuitionistic fuzzy clustering; intuitionistic fuzzy decision making; intuitionistic fuzzy number ranking; intuitionistic fuzzy scoring; intuitionistic fuzzy subset generalisation; Decision making; Fuzzy sets; Leg;
Conference_Titel :
Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1818-3
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2008.4630639
