A THEORY OF CONTINUOUSLY VALUED LOGIC.

Abstract

Motivated by the recognized inadequacy of conventional logic for the representation and manipulation of variables in areas related to artificial intelligence, this paper addresses itself to the investigation of the formal systems obtained by extending well-known operators to continuous arguments. The studied systems, called 'soft algebras,' are generalizations of boolean algebras in that they satisfy all the axioms of the latter ones except the laws of complementarity, i.e., x + x bar = 1 and x(x bar) = 0. It is shown that every soft algebra is a bounded, distributive and symmetric lattice. A specific soft algebra, namely, the family of all expressions of variables valued over the closed interval (0,1), is analyzed in great detail. This particular algebra is a formal unification of many recent results concerning 'fuzzy' logic. It is shown that every 'soft' function can be canonically represented by a pair of normal expressions, i.e., each soft function is representable by a double-array of tables (a generalization of the truth-table representation of boolean functions.) Also, a synthesis and a two-level minimization procedure, which is a generalization of the Quine-McCluskey method, are given. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 15, 1970
Accession Number
AD0711368

Entities

People

  • F. P. Preparata
  • R. T. Yeh

Organizations

  • University of Texas at Austin

Tags

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Complex Variables
  • Computer Science
  • Functions (Mathematics)
  • Intervals
  • Mathematical Analysis

Fields of Study

  • Mathematics

Readers

  • Computer Vision.
  • Graph Algorithms and Convex Optimization.
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms