Consistency in fuzzy rule based systems: An application in elementary school performance evaluation

Salwa Ammar, William Duncombe, Robert Bifulco, Ronald Wright

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

Performance evaluation and reform of public organizations is receiving increased attention. In many cases identification of the lowest performing organizations is an important part of performance based reforms. Programs to identify low performance would typically benefit from incorporation of expert judgement provided that judgement could be applied in a verifiable and fair manner. Fuzzy rule based systems provide a mechanism for modeling expert judgement. However, translating that expertise into a consistent set of rules can be even more challenging for performance evaluation than it has been in engineering applications. In this paper we describe an approach that first creates a comprehensive and complete set of rules and then modifies those rules to prevent inconsistent results.

Original languageEnglish (US)
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
PublisherIEEE Computer Society
Pages120-124
Number of pages5
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS'99 - New York, NY, USA
Duration: Jun 10 1999Jun 12 1999

Other

OtherProceedings of the 1999 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS'99
CityNew York, NY, USA
Period6/10/996/12/99

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ASJC Scopus subject areas

  • Computer Science(all)
  • Media Technology

Cite this

Ammar, S., Duncombe, W., Bifulco, R., & Wright, R. (1999). Consistency in fuzzy rule based systems: An application in elementary school performance evaluation. In Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (pp. 120-124). IEEE Computer Society.