文章基本信息

标题：Optimizing Human Diet Problem Based on Price and Taste Using Multi-Objective Fuzzy Linear Programming Approach
本地全文：下载
作者：Hossein EGHBALI ; Mohammad Ali EGHBALI ; Ali VAHIDIAN KAMYAD 等
期刊名称：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
印刷版ISSN：2146-5703
出版年度：2012
卷号：2
期号：2
页码：139-151
DOI：10.11121/ijocta.01.2012.0095
语种：English
出版社：An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
摘要：Low price and good taste of foods are regarded as two major factors for optimal human nutrition. Due to price fluctuations and taste diversity, these two factors cannot be certainly and determinately evaluated. This problem must be viewed from another perspective because of the uncertainty about the amount of nutrients per unit of foods and also diversity of people’s daily needs to receive them.This paper discusses human diet problem in fuzzy environment. The approach deals with multi-objective fuzzy linear programming problem using a fuzzy programming technique for its solution. By prescribing a diet merely based on crisp data, some ofthe realities are neglected. For the same reason, we dealt with human diet problem through fuzzy approach. Results indicated uncertainty about factors of nutrition diet -including taste and price, amount of nutrients and their intake- would affect diet quality, making the proposed diet more realistic.
关键词：Optimizing human diet;Multi-objective fuzzy linear programming;Triangular fuzzy number.