Compatibility and Aggregation in Fuzzy Evidential Reasoning

Valerie Cross, Thomas Sudkamp

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Seven compatibility measures are paired with two fuzzy set aggregation operators to generate support measures for fuzzy evidential reasoning applied to an identification problem. The effectiveness of the combinations was empirically tested by varying the imprecision in the domain information and the evidence. The results are analyzed using the level-n ranking and the U-uncertainty of the support assignment.

Original languageEnglish
Title of host publicationConference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics
PublisherIEEE
Pages1901-1906
Number of pages6
Volume3
ISBN (Print)0-7803-0233-8
DOIs
StatePublished - 1991
EventConference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics - Charlottesville, VA, USA
Duration: Oct 13 1991Oct 16 1991

Conference

ConferenceConference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics
CityCharlottesville, VA, USA
Period10/13/9110/16/91

ASJC Scopus Subject Areas

  • Control and Systems Engineering
  • Hardware and Architecture

Keywords

  • Computer science
  • Fuzzy reasoning
  • Fuzzy set theory
  • Fuzzy sets
  • Information analysis
  • Information retrieval
  • Medical expert systems
  • Possibility theory
  • Testing
  • Text analysis

Disciplines

  • Computer Sciences
  • Engineering
  • Mathematics

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