Premium
A fuzzy programming approach to energy resource allocation
Author(s) -
Chedid R.,
Mezher T.,
Jarrouche C.
Publication year - 1999
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/(sici)1099-114x(19990325)23:4<303::aid-er479>3.0.co;2-1
Subject(s) - fuzzy logic , flexibility (engineering) , mathematical optimization , computer science , resource allocation , sensitivity (control systems) , function (biology) , energy (signal processing) , membership function , linear programming , operations research , fuzzy set , artificial intelligence , engineering , mathematics , computer network , statistics , electronic engineering , evolutionary biology , biology
This paper presents a fuzzy multi‐objective linear programming approach to solve the energy allocation problem. For this, nine energy resources and six household end uses are considered. An optimal solution will be extracted, and an explicit interactive sensitivity analysis will be dealt with. As the results obtained depend on the fuzzy nature of the objective functions and on the conflicting nature of some of the objectives among themselves, the proposed method can be regarded as a decision support tool for the decision makers who can be guided by its results to arrive at an appropriate solution interactively. It will be shown that optimization using fuzzy logic can provide the decision‐makers with more flexibility that would assist them in the allocation of various resources to meet the various end‐uses by studying the effects of several factors such as price variations, membership function shapes and membership function reference values. Copyright © 1999 John Wiley & Sons, Ltd.