Title
A fashion mix-and-match expert system for fashion retailers using fuzzy screening approach
Abstract
In today's fashion retailing business, providing ''fashion mix-and-match'' or ''fashion coordination'' recommendations is a 'must' strategy to enhance customer service and improve sales. In this study, a fashion mix-and-match expert system is developed to provide customers with professional and systematic mix-and-match recommendations automatically. The system can capture the knowledge and emulate the decisions of fashion designers on apparel coordination and its knowledge base can store the literal form of information. A set of attributes of the apparel for coordination are identified and formulated; their corresponding importance is also defined with designers' opinions using ordered weighted averaging operators. The Fashion Coordination Satisfaction Index is devised and computed using the fuzzy screening approach to represent the satisfaction degree of the coordinating pairs of apparel product items. The experimental results demonstrate that the proposed system can generate effective mix-and-match recommendations and is now integrated with a smart dressing system used effectively in a fashion chain store company in Hong Kong.
Year
DOI
Venue
2009
10.1016/j.eswa.2007.12.047
Expert Syst. Appl.
Keywords
Field
DocType
fashion mix-and-match,fashion chain store company,fashion coordination,fuzzy screening,fashion designer,fashion mix-and-match expert system,fashion retailing business,effective mix-and-match recommendation,apparel coordination,fuzzy screening approach,proposed system,fashion retailer,expert systems,multi-criteria decision-making,systematic mix-and-match recommendation,knowledge base,indexation,expert system
Customer service,Computer science,Fuzzy logic,Expert system,Clothing,Knowledge management,Operator (computer programming),Artificial intelligence,Knowledge base,Machine learning
Journal
Volume
Issue
ISSN
36
2
Expert Systems With Applications
Citations 
PageRank 
References 
10
0.68
7
Authors
5
Name
Order
Citations
PageRank
W. K. Wong195749.71
X. H. Zeng2191.25
W. M. R. Au3191.25
P. Y. Mok415413.38
S. Y. S. Leung522713.99