Optimizing Human Diet Problem Based on Price and Taste Using Multi-Objective Fuzzy Linear Programming Approach

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...

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Bibliographic Details
Published in:An international journal of optimization and control Vol. 2; no. 2; pp. 139 - 151
Main Authors: EGHBALI, Hossein, EGHBALI, Mohammad Ali, VAHIDIAN KAMYAD, Ali
Format: Journal Article
Language:English
Published: Balikesir Balikesir University, Faculty of Engineering Department of Industrial Engineering 01.01.2012
Subjects:
Food
Fuzzy logic
Fuzzy sets
Linear programming
Mathematical programming
Multiple objective analysis
Nutrients
Nutrition
Optimization
Taste
Uncertainty
ISSN:2146-0957, 2146-5703
Online Access:Get full text
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Summary: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.
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ISSN:2146-0957
2146-5703
DOI:10.11121/ijocta.01.2012.0095