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Life insurance risk assessment using a fuzzy logic expert systemIn this paper, we present a knowledge based system that combines fuzzy processing with rule-based processing to form an improved decision aid for evaluating risk for life insurance. This application illustrates the use of FuzzyCLIPS to build a knowledge based decision support system possessing fuzzy components to improve user interactions and KBS performance. The results employing FuzzyCLIPS are compared with the results obtained from the solution of the problem using traditional numerical equations. The design of the fuzzy solution consists of a CLIPS rule-based system for some factors combined with fuzzy logic rules for others. This paper describes the problem, proposes a solution, presents the results, and provides a sample output of the software product.
Document ID
19930020396
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Carreno, Luis A.
(Togai InfraLogic, Inc. Houston, TX, United States)
Steel, Roy A.
(Togai InfraLogic, Inc. Houston, TX, United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: NASA. Johnson Space Center, North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 2
Subject Category
Statistics And Probability
Accession Number
93N29585
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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