Journal article
A neural network based fuzzy set model for organizational decision making
Abstract
A neural network based fuzzy set model is proposed to support organizational decision making under uncertainty. This model incorporates three theories and methodologies: classical decision-making theory under conflict, as suggested by Luce and Raiffa (1957), the fuzzy set theory of Zadeh (1965, 1984), and a modified version of the backpropagation (BP) neural network algorithm originated by Rumelhart et al. (1986). An algorithm that implements …
Authors
Wang S; Archer NP
Journal
IEEE Transactions on Human-Machine Systems, Vol. 28, No. 2, pp. 194–203
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
5 1998
DOI
10.1109/5326.669549
ISSN
2168-2291