On averaging operators for Atanassov's intuitionistic fuzzy sets

被引:251
作者
Beliakov, G. [1 ]
Bustince, H. [2 ]
Goswami, D. P. [3 ]
Mukherjee, U. K. [4 ]
Pal, N. R. [5 ]
机构
[1] Deakin Univ, Sch Informat Technol, Burwood 3125, Australia
[2] Univ Publ Navarra, Dept Automat & Comp, Pamplona, Spain
[3] Jadavpur Univ, Sch BioSci & Engn, Kolkata, India
[4] Sarat Centenary Coll, Hooghly, India
[5] Indian Stat Inst, Kolkata 700035, W Bengal, India
关键词
Atanassov's intuitionistic fuzzy sets; Aggregation operators; Interval-valued fuzzy sets; OWA; Triangular norms; AGGREGATION OPERATORS; DECISION-MAKING; VAGUE SETS; SYSTEMS;
D O I
10.1016/j.ins.2010.11.024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Atanassov's intuitionistic fuzzy set (AIFS) is a generalization of a fuzzy set. There are various averaging operators defined for AIFSs. These operators are not consistent with the limiting case of ordinary fuzzy sets, which is undesirable. We show how such averaging operators can be represented by using additive generators of the product triangular norm, which simplifies and extends the existing constructions. We provide two generalizations of the existing methods for other averaging operators. We relate operations on AIFS with operations on interval-valued fuzzy sets. Finally, we propose a new construction method based on the Lukasiewicz triangular norm, which is consistent with operations on ordinary fuzzy sets, and therefore is a true generalization of such operations. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:1116 / 1124
页数:9
相关论文
共 43 条