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Determining rules for closing customer service centers: A public utility company's fuzzy decisionIn the present work, we consider the general problem of knowledge acquisition under uncertainty. Simply stated, the problem reduces to the following: how can we capture the knowledge of an expert when the expert is unable to clearly formulate how he or she arrives at a decision? A commonly used method is to learn by examples. We observe how the expert solves specific cases and from this infer some rules by which the decision may have been made. Unique to our work is the fuzzy set representation of the conditions or attributes upon which the expert may possibly base his fuzzy decision. From our examples, we infer certain and possible fuzzy rules for closing a customer service center and illustrate the importance of having the decision closely relate to the conditions under consideration.
Document ID
19930020372
Document Type
Conference Paper
Authors
Dekorvin, Andre (Houston Univ. TX., United States)
Shipley, Margaret F. (Houston Univ. TX., United States)
Lea, Robert N. (NASA Lyndon B. Johnson Space Center Houston, TX, United States)
Date Acquired
September 6, 2013
Publication Date
December 1, 1992
Publication Information
Publication: North American Fuzzy Logic Processing Society (NAFIPS 1992), Volume 2
Subject Category
THEORETICAL MATHEMATICS
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19930020367Analytic PrimaryNorth American Fuzzy Logic Processing Society (NAFIPS 1992), volume 2