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http://hdl.handle.net/11375/5592
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DC Field | Value | Language |
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dc.contributor.author | Wang, Shouhong | en_US |
dc.contributor.author | Archer, Norman P. | en_US |
dc.contributor.author | McMaster University, Michael G. DeGroote School of Business | en_US |
dc.date.accessioned | 2014-06-17T20:41:43Z | - |
dc.date.available | 2014-06-17T20:41:43Z | - |
dc.date.created | 2013-12-23 | en_US |
dc.date.issued | 1994-09 | en_US |
dc.identifier.other | dsb/50 | en_US |
dc.identifier.other | 1049 | en_US |
dc.identifier.other | 4944071 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/5592 | - |
dc.description | <p>24 leaves : ; Includes bibliographical references (leaves 21-23). ; "September, 1994".</p> | en_US |
dc.description.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> | en_US |
dc.relation.ispartofseries | Research and working paper series (Michael G. DeGroote School of Business) | en_US |
dc.relation.ispartofseries | no. 397 | en_US |
dc.subject | Fuzzy sets | en_US |
dc.subject | Games and decisions | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Business | en_US |
dc.subject | Business | en_US |
dc.subject.lcc | Fuzzy sets Soft computing Neural networks (Computer science) | en_US |
dc.title | A fuzzy decision making model | en_US |
dc.type | article | en_US |
Appears in Collections: | DeGroote School of Business Working Paper Series |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 478.72 kB | Adobe PDF | View/Open |
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