Student peer evaluations using the analytic hierarchy process method
FIE '95 Proceedings of the Frontiers in Education Conference, on 1995. Proceedings., 1995 - Volume 02
Robust decision making using data envelopment analytic hierarchy process
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
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Incomplete linguistic preference relations to evaluate multimedia authoring system
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Using AHP to Assess a Plan of Training the Adolescent Golf Player
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Partner Selection System for Collaborative Design
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Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become quite confused and even hesitate to make any selections at all. This study proposes a system that supports online purchases of garments with functions to select and recommend garments on the basis of the customer's tastes. The system has three basic capabilities: (1) It analyzes the customer's tastes using the analytical hierarchy process (AHP) and selects and suggests clothes. (2) It designates a priority for suggesting the garments using correlations found by clustering. (3) It suggests second purchases of items that have been chosen by previous customers with similar tastes who bought a garment that the current online customer has just decided to buy. The second purchases are selected using market basket analysis. Two databases are essential to this process: one for the attributes of garments and one for simultaneous purchases of garments.