On the equivalence of some approaches to the OWA operator and RIM quantifier determination

被引:12
作者
Liu, Xinwang [1 ]
Lou, Hongwei [2 ]
机构
[1] Southeast Univ, Sch Econ & Management, Nanjing 210096, Peoples R China
[2] Fudan Univ, Sch Math Sci, Shanghai 200433, Peoples R China
关键词
aggregation operator; OWA operator; RIM quantifier; maximum entropy; minimum variance; minimax disparity; minimax ratio;
D O I
10.1016/j.fss.2007.12.024
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The ordered weighted averaging (OWA) operator is a widely used aggregation method, and its determination is usually a prerequisite step in many related applications. The regular increasing monotone (RIM) quantifier can be seen as the continuous case of the OWA operator with the quantifier aggregation method. Some approaches with optimization criteria for the determination of OWA operator and RIM quantifier were proposed. Although these problems look different at the first sight, a deeper investigation can reveal the equivalence of solutions between them. Inspired by the solution equivalence of minimum variance problems and minimax disparity problem for OWA operator, we propose the minimax disparity RIM quantifier problem and two minimax ratio problems for OWA operator and RIM quantifier, respectively. We investigate the equivalence of solutions for the maximum entropy and minimax ratio problems, and solutions for the minimum variance and minimax disparity problems of OWA operator and RIM quantifier, respectively, by a theoretical point of view. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1673 / 1688
页数:16
相关论文
共 36 条
[1]  
[Anonymous], 1997, The Ordered Weighted Averaging Operators: Theory and Applications
[2]  
CARBONELL M, 1997, 6 IEEE INT C FUZZ SY, P1695
[3]   On the issue of obtaining OWA operator weights [J].
Filev, D ;
Yager, RR .
FUZZY SETS AND SYSTEMS, 1998, 94 (02) :157-169
[4]   ANALYTIC PROPERTIES OF MAXIMUM-ENTROPY OWA OPERATORS [J].
FILEV, D ;
YAGER, RR .
INFORMATION SCIENCES, 1995, 85 (1-3) :11-27
[5]   On obtaining minimal variability OWA operator weights [J].
Fullér, R ;
Majlender, P .
FUZZY SETS AND SYSTEMS, 2003, 136 (02) :203-215
[6]   An analytic approach for obtaining maximal entropy OWA operator weights [J].
Fullér, R ;
Majlender, P .
FUZZY SETS AND SYSTEMS, 2001, 124 (01) :53-57
[7]   A model of fuzzy linguistic IRS based on multi-granular linguistic information [J].
Herrera-Viedma, E ;
Cordón, O ;
Luque, M ;
Lopez, AG ;
Muñoz, AM .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2003, 34 (2-3) :221-239
[8]   Computing with words in intelligent database querying: standalone and Internet-based applications [J].
Kacprzyk, J ;
Zadrozny, S .
INFORMATION SCIENCES, 2001, 134 (1-4) :71-109
[9]   A methodology for computing with words [J].
Lawry, J .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2001, 28 (2-3) :51-89
[10]  
LIU X, 2007, INTERNAT J APPROX RE