Procedural representation in a fuzzy problem-solving system

  • Authors:
  • Richard A. LeFaivre

  • Affiliations:
  • Rutgers University, New Brunswick, New Jersey

  • Venue:
  • AFIPS '76 Proceedings of the June 7-10, 1976, national computer conference and exposition
  • Year:
  • 1976

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Abstract

This paper addresses the problem of developing new representational structures for use in problem-solving domains which are imprecise or uncertain in nature. The incompatibility of precise representations with complex systems is discussed, and an argument is made that the inability to arrive at symbolic representations, not any inherent "complexity," is what makes natural reasoning difficult to model. The programming language FUZZY, which provides a number of facilities for representing and manipulating fuzzy information, is described briefly, and the use of "procedure demons" to specify global control regimes is examined. The procedural mechanisms available in FUZZY are then used to analyze a simple problem of fuzzy deductive inference.