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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Vydáno v:The Journal of the Operational Research Society Ročník 65; číslo 1; s. 141 - 150
Hlavní autor: Chang, C-T
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Taylor & Francis 01.01.2014
Palgrave Macmillan
Palgrave Macmillan UK
Taylor & Francis Ltd
Témata:
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
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Popis
Shrnutí: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.
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2013.28