A fuzzy decision making model

Wang, Shouhong; Archer, Norman P.; McMaster University, Michael G. DeGroote School of Business

Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5592

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DC Field	Value	Language
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

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