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
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ISSN:0160-5682, 1476-9360
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Zusammenfassung: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 product classification problem involving the achievement of fuzzy goals, some of which are achieved and some of which are not. That is, some attributes dominate other attributes that are often found in real problems. In addition, achievement functions are provided to solve a multi-objective decision-making problem in which the utility values are increased as much as possible, to suit real-world situations. Finally, to demonstrate the usefulness of the proposed methods, numerical examples are also included.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2013.28