A method of determining the fuzzy measure based on knowledge factors

  • Fa Chao Li*
  • , Zan Zhang
  • *Corresponding author for this work

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

Abstract

This paper presents a method to determine the fuzzy measure based on knowledge factors, in order to solve the problem of interaction among indices in the comprehensive evaluation, and make full use of the knowledge existing in the information system. The method can be used as a strategy for measuring the significance of the attributes. Furthermore, the Choquet integral is an important aggregation operator used in various fields. In combination with the Choquet integral, the method is applied to the assessment of graduate scholarship. The result shows that the method offers good interpretation and operation.

Original languageEnglish
Title of host publicationProceedings of 2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
Pages961-964
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012 - Xian, Shaanxi, China
Duration: 15 Jul 201217 Jul 2012

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume3
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Conference

Conference2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012
Country/TerritoryChina
CityXian, Shaanxi
Period15/07/1217/07/12

Keywords

  • Choquet integral
  • Comprehensive evaluation
  • Fuzzy measure
  • Information system
  • Knowledge factor

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