• 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