Acquisition, analysis and evaluation of imprecise requirements for knowledge-based systems

John Yen, Xiaoqing Liu, Swee Hor Teh

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

1 Scopus citations

Abstract

In this paper, a theoretical foundation has been laid and a practical method has been developed for specifying, analyzing and evaluating the complex relationships between imprecise requirements in knowledge-based systems. Imprecise requirements are represented by the canonical form in test-score semantics. The relationships between requirements are classified to be conflicting and cooperative based on the qualitative and quantitative analysis of relationships between requirements. This kind of analysis makes it possible to formulate a feasible overall requirement from conflicting individual requirements. It also facilitates to find better trade-off strategies for conflicting requirements by using fuzzy multi-criteria optimization technique. A requirement engineering process has also been developed to incorporate imprecise requirements into the requirement analysis for knowledge-based systems.

Original languageEnglish (US)
Title of host publicationProceedings of the National Conference on Artificial Intelligence
PublisherAAAI
Pages541-546
Number of pages6
Volume1
StatePublished - 1994
EventProceedings of the 12th National Conference on Artificial Intelligence. Part 1 (of 2) - Seattle, WA, USA
Duration: Jul 31 1994Aug 4 1994

Other

OtherProceedings of the 12th National Conference on Artificial Intelligence. Part 1 (of 2)
CitySeattle, WA, USA
Period7/31/948/4/94

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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