DocumentCode
1554022
Title
Lexicographic use of Sugeno integrals and monotonicity conditions
Author
Murofushi, Toshiaki
Author_Institution
Dept. of Computational Intelligence & Syst. Sci., Tokyo Inst. of Technol., Yokohama, Japan
Volume
9
Issue
6
fYear
2001
fDate
12/1/2001 12:00:00 AM
Firstpage
785
Lastpage
794
Abstract
The Sugeno integral is very useful but its sensitivity is low. In order to overcome this disadvantage, the author proposes the lexicographic order induced by Sugeno integrals, which is called the LS order. It is an extension of useful orderings such as the ordinary lexicographic order, the leximax (the lexicographic maximax rule), and the leximin (the lexicographic maximin rule). Concerning the sensitivity of orderings, the author discusses three monotonicity conditions: the ordinary monotonicity condition (M), the weak Pareto principle (WP), and the strong Pareto principle (SP). As well known, the Sugeno integral always satisfies (M). The author shows that it satisfies (WP) under a special condition, and that it never satisfies (SP). In addition, he shows necessary and sufficient conditions for an LS order to satisfy (WP) and (SP). By using these conditions one can design LS orders satisfying desired monotonicity conditions
Keywords
fuzzy set theory; modelling; MIMO nondynamical system modeling; Sugeno integrals; lexicographic maximax rule; lexicographic maximin rule; lexicographic order; leximax; leximin; monotonicity conditions; necessary and sufficient conditions; sensitivity; strong Pareto principle; weak Pareto principle; Computational intelligence; Decision making; Fuzzy sets; Helium; Integral equations; Sufficient conditions; Uncertainty;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/91.971697
Filename
971697
Link To Document