Summarized here are the results of recent research on the conceptual foundations of fuzzy logic. The focus is primarily on the principle characteristics of a model that quantifies resemblance between possible worlds by means of a similarity function that assigns a number between 0 and 1 to every pair of possible worlds. Introduction of such a function permits one to interpret the major constructs and methods of fuzzy logic: conditional and unconditional possibility and necessity distributions and the generalized modus ponens of Zadeh on the basis of related metric relationships between subsets of possible worlds.
Document ID: 19910011507. Accession ID: 91N20820. NASA, Lyndon B. Johnson Space Center, Proceedings of the Second Joint Technology Worshop on Neural Networks and Fuzzy Logic, Volume 2; p 233-270.
