On product classification with various membership functions and binary behaviour

This study proposes a fuzzy programming method for Internet product classification in which many realistic membership functions (ie, increasing, decreasing, triangular and piecewise linear functions) are used for easy classification. A new concept—binary behaviour—is introduced to represent the prod...

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Veröffentlicht in:	The Journal of the Operational Research Society Jg. 65; H. 1; S. 141 - 150
1. Verfasser:	Chang, C-T
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 01.01.2014 Palgrave Macmillan Palgrave Macmillan UK Taylor & Francis Ltd
Schlagworte:	Automobiles binary behaviour Business and Management Business orders Capital costs Classification Data mining Decision making Engines fuzzy clustering Fuzzy sets General Paper General Papers Internet Linear programming Linguistics Maintenance costs Management Mathematical programming Membership functions Multiple criteria decision making Operations research Operations Research/Decision Theory Preferences product classification Semantics Studies product classification fuzzy clustering binary behaviour
ISSN:	0160-5682, 1476-9360
Online-Zugang:	Volltext
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