Risk Reduction with a Fuzzy Expert Exploration Tool | Zendy

William W. Weiss | Zendy; Ron Broadhead | Zendy; Andrew H. Sung | Zendy

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Risk Reduction with a Fuzzy Expert Exploration Tool

Author(s) -

William W. Weiss,

Ron Broadhead,

Andrew H. Sung

Publication year - 2000

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/765630

Subject(s) - usable , variety (cybernetics) , fuzzy logic , computer science , reduction (mathematics) , expert system , artificial intelligence , machine learning , software engineering , risk analysis (engineering) , data science , world wide web , mathematics , business , geometry

This project developed an Artificial Intelligence system that drew up on a wide variety of information in providing realistic estimates of risk. ''Fuzzy logic,'' a system of integrating large amounts of inexact, incomplete information with modern computational methods derived usable conclusions, were demonstrated as a cost-effective computational technology in many industrial applications

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