Paper
27 July 1999 Application of conditional and relational event algebra to the defining of fuzzy logic concepts
I. R. Goodman, H. T. Nguyen
Author Affiliations +
Abstract
Beginning with work in the mid 1970's and early 1980's, it was discovered that fundamental homomorphic-like relations exist between many first order fuzzy logic concepts and naturally corresponding probability ones via the one-point coverage events for appropriately chosen random subsets of the domains of the fuzzy sets considered. This paper first extends and modifies the above-mentioned homomorphic-like relations previously established. It also introduces a number of new homomorphic-like relations between fuzzy logic concepts and probability, utilizing two recently derived subfields of probability theory: conditional and relational event algebra. In addition, a newly invigorated branch of probability theory dealing with second order probabilities (or `probabilities of probabilities') is shown to be applicable to treating certain deduction problems involving conditioning of populations.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. R. Goodman and H. T. Nguyen "Application of conditional and relational event algebra to the defining of fuzzy logic concepts", Proc. SPIE 3720, Signal Processing, Sensor Fusion, and Target Recognition VIII, (27 July 1999); https://doi.org/10.1117/12.357169
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Fuzzy logic

Probability theory

Information operations

Inspection

Logic

Stochastic processes

Signal processing

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