Bisection algorithms for solving A-fuzzy measures

Jih Chang Wang*, Ting Yu Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The theory of fuzzy measures has a great potential for real world applications, but limited by the lack of suitable identifying methods. This research proposes a bisection algorithm based on Sugeno's λ-fuzzy measures. The proposed method is simple enough to suit the practical applications for the required data is similar to the traditional weighted-sum method. The computing complexity of this method is O(n), and it is efficient to meet the huge computations in practical.

Original languageEnglish
Title of host publicationProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
StatePublished - 2006
Event9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
Duration: 08 10 200611 10 2006

Publication series

NameProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume2006

Conference

Conference9th Joint Conference on Information Sciences, JCIS 2006
Country/TerritoryTaiwan
CityTaiwan, ROC
Period08/10/0611/10/06

Keywords

  • Bisection algorithm
  • Computing complexity
  • Fuzzy measure

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