Adaptive aggregation in decision making: a fuzzy neural network approach

Hong Ding; Madan M. Gupta

doi:10.1117/12.165054

22 December 1993 Adaptive aggregation in decision making: a fuzzy neural network approach

Hong Ding, Madan M. Gupta

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165054
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Hong Ding and Madan M. Gupta "Adaptive aggregation in decision making: a fuzzy neural network approach", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165054

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