Fuzzy logic-based foundation for analyzing imprecise conflicting requirements

John Yen, Xiaoqing Liu

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

Abstract

Imprecise requirements are represented by the canonical form in test-score semantics. The concepts of feasibility, satisfiability, and specificity are formalized based on the fuzzy sets. The relationships between requirements are classified to be conflicting and cooperative. A feasible overall requirement can thus be formulated based on the trade-off analysis of the conflicting requirements by using fuzzy multi-criteria optimization technique.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages1099-1104
Number of pages6
Volume2
StatePublished - 1994
EventProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3) - Orlando, FL, USA
Duration: Jun 26 1994Jun 29 1994

Other

OtherProceedings of the 3rd IEEE Conference on Fuzzy Systems. Part 3 (of 3)
CityOrlando, FL, USA
Period6/26/946/29/94

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Software
  • Artificial Intelligence
  • Applied Mathematics

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