A Well-Balanced Menu Planning with Fuzzy Weight

For lifestyle-related disease caused by recent change of eating habits in Japan, this paper proposes a menu planning method using rough set theory, and it can satisfy each individual's taste. The menu is made by combining some dishes which are selected by fuzzy mathematical programming problem we introduced. All dishes have meta-information like users' taste, materials, nutritional information, and relativeness (affinity) between some dishes given by an experts (system administrator) of this system, and by using these values as parameters, a well-balanced menu is recommended for each user. This paper assumes that the each individual's taste is as rules obtained by rough set theory.

• Type: Journal
• Year: 2008
• Where: ENGL
• Authors: Tomoko Kashima, Shimpei Matsumoto, Hiroaki Ishii
• Keywords: ENGL 2008, Menu Planning Method, Rough Set, Rough Set Theory