The use of screening in policy analysis
Management Science
A fuzzy dual decomposition method for large-scale multiobjective nonlinear programming problems
Fuzzy Sets and Systems - Special issue on operations research
Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
A computerized knowledge management system for the manufacturing strategy process
Computers in Industry
Computers and Industrial Engineering
Machine learning applied to quality management-A study in ship repair domain
Computers in Industry
Paper: Rating and ranking of multiple-aspect alternatives using fuzzy sets
Automatica (Journal of IFAC)
A hybrid approach to design efficient learning classifiers
Computers & Mathematics with Applications
An expert system for perfume selection using artificial neural network
Expert Systems with Applications: An International Journal
Socially-interactive dressing room: an iterative evaluation on interface design
CHI '11 Extended Abstracts on Human Factors in Computing Systems
An empirical study of intelligent expert systems on forecasting of fashion color trend
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
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.