Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/5592
Title: | A fuzzy decision making model |
Authors: | Wang, Shouhong Archer, Norman P. McMaster University, Michael G. DeGroote School of Business |
Keywords: | Fuzzy sets;Games and decisions;Neural networks;Business;Business |
Publication Date: | Sep-1994 |
Series/Report no.: | Research and working paper series (Michael G. DeGroote School of Business) no. 397 |
Abstract: | <p>A fuzzy decision making model is proposed to support 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 back propagation neural network algorithm originated by Rumelhart et al. (1986). An algorithm which implements the model is also described.</p> |
Description: | <p>24 leaves : ; Includes bibliographical references (leaves 21-23). ; "September, 1994".</p> |
URI: | http://hdl.handle.net/11375/5592 |
Identifier: | dsb/50 1049 4944071 |
Appears in Collections: | DeGroote School of Business Working Paper Series |
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