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Proceedings Paper

Decision-making with a fuzzy logic inference engine
Author(s): Nadja K. O'Hagan; Michael O'Hagan
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Paper Abstract

Each year, the Army National Guard (ARNG) reviews its entire force structure and, based upon changing national requirements, determines which units, in which states, will be inactivated, activated, or reallocated. These decisions are based upon a fairly large set of criteria and include: overall manpower goals, socioeconomic factors, and unit performance characteristics. In order to facilitate these decisions, a fuzzy expert system is currently being built for the ARNG using a fuzzy logic inference engine based upon the fuzzy decision-making methodologies of Bellman & Zadeh as extended by Yager, and the analytical hierarchical method of Saaty, which normally uses paired comparisons. Incorporated within the force realignment decision support system, is a method of capturing decision maker preferences, which does not require paired comparisons and is (1) rapid, and (2) forces transitivity in the resulting fuzzy relative importance measures.

Paper Details

Date Published: 22 December 1993
PDF: 11 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165038
Show Author Affiliations
Nadja K. O'Hagan, Fuzzy Logic, Inc. (United States)
Michael O'Hagan, Fuzzy Logic, Inc. (United States)


Published in SPIE Proceedings Vol. 2061:
Applications of Fuzzy Logic Technology
Bruno Bosacchi; James C. Bezdek, Editor(s)

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