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Proceedings Paper

Adaptive aggregation in decision making: a fuzzy neural network approach
Author(s): Hong Ding; Madan M. Gupta
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Paper Abstract

In this paper we present an architecture of fuzzy neural networks for adaptive aggregation in decision making. The excitatory and inhibitory mechanism of computational neurons is employed to model the competitive and cooperative behaviors among alternatives in the process of adaptive aggregation. An application of this architecture into the field of abductive diagnosis with causal knowledge is discussed in detail.

Paper Details

Date Published: 22 December 1993
PDF: 12 pages
Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); doi: 10.1117/12.165054
Show Author Affiliations
Hong Ding, Univ. of Saskatchewan (Canada)
Madan M. Gupta, Univ. of Saskatchewan (Canada)


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

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