Paper Info
Title
A Well-Balanced Menu Planning With Fuzzy Weight
Abstract
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.
Year
Venue
Keywords
2008
ENGINEERING LETTERS
Information System, Fuzzy Mathematical Programming, Lifestyle-Related Disease, Well-Balanced Menu Planning, Rough Set
Field
DocType
Volume
Computer science,Fuzzy logic,Rough set,System administrator,Artificial intelligence,Machine learning,Fuzzy mathematical programming
Journal
16
Issue
ISSN
Citations 
3
1816-093X
2
PageRank 
References 
Authors
0.39
0
3
Name
Order
Citations
PageRank
Tomoko Kashima157.50
Shimpei Matsumoto2109.77
Hiroaki Ishii336339.73