Probabilistic Preferences Composition in the Classification of Apparel Retail Stores

This paper employs the probabilistic composition of preferences to classify stores by their operational efficiency. Probabilistic composition of preferences is a multicriteria analysis methodology based on the transformation of assessments by multiple attributes into probabilities of choice. The num...

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Bibliographic Details
Published inInternational journal of business analytics Vol. 2; no. 4; pp. 64 - 78
Main Authors Ribeiro, Rodrigo Otávio de Araújo, Meza, Lidia Angulo, Sant'Anna, Annibal Parracho
Format Journal Article
LanguageEnglish
Published IGI Global 01.10.2015
Subjects
Analysis
Clothing industry
Distribution (Probability theory)
Stores
Brazil
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Summary:This paper employs the probabilistic composition of preferences to classify stores by their operational efficiency. Probabilistic composition of preferences is a multicriteria analysis methodology based on the transformation of assessments by multiple attributes into probabilities of choice. The numerical initial measurements provide estimates for location parameters of probability distributions that are compared to measure the preferences. The probabilities of choice according to each attribute separately are aggregated according to probabilistic composition rules. A classification of two sets of stores into five classes is performed.
ISSN:2334-4547
2334-4555
DOI:10.4018/IJBAN.2015100104