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 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| fulltext.pdf | 478.72 kB | Adobe PDF | View/Open |
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