Fuzzy sets based knowledge systems and knowledge elicitation

C. Santamarina, G. Salvendy

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Fuzzy sets are adequate forms of knowledge representation when the information is uncertain due to vagueness and imprecision. Knowledge structures using fuzzy sets are similar to those implemented in non-fuzzy systems. Classical knowledge elicitation methods can be used in combination with techniques to develop membership functions. The fuzzy set representation has several advantages, including flexibility in expressing uncertain knowledge during elicitation, representation of the knowledge and its uncertainty as a unique entity, easy interfacing with classical systems, and a more robust system in ill-defined domains. These advantages result in increased system reliability.

Original languageEnglish (US)
Pages (from-to)23-40
Number of pages18
JournalBehaviour and Information Technology
Volume10
Issue number1
DOIs
StatePublished - 1991
Externally publishedYes

ASJC Scopus subject areas

  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Social Sciences(all)
  • Human-Computer Interaction

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