An application of fuzzy goal programming to a multiobjective project network problem

This paper presents a practical application of fuzzy goal programming (FGP) in a real-life project network problem with two objectives as minimum completion time and crashing costs wanted to be optimized simultaneously. Fuzziness in the problem stems from the imprecise aspiration levels attained by...

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Bibliographic Details
Published in:Fuzzy sets and systems 2001-04, Vol.119 (1), p.49-58
Main Authors: Arıkan, Feyzan, Güngör, Zülal
Format: Article
Language:English
Subjects:
Decision making
Fuzzy goal programming
Fuzzy linear programming
Fuzzy sets
Multicriteria analysis
Project network
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Summary:This paper presents a practical application of fuzzy goal programming (FGP) in a real-life project network problem with two objectives as minimum completion time and crashing costs wanted to be optimized simultaneously. Fuzziness in the problem stems from the imprecise aspiration levels attained by the decision maker (DM) to both objectives. These imprecise aspiration levels are quantified through the use of piecewise linear and continuous membership functions. The objective function of the FGP is to maximize the membership value of both objectives’ intersection which form the fuzzy decision. The problem is solved by using LINDO computer package and the best compromised solution is found. Comparisons between solutions of FGP, fuzzy linear programming (FLP), lexicographic maximization method (LMM) and linear programming (LP) are also presented.
ISSN:0165-0114
1872-6801
DOI:10.1016/S0165-0114(99)00119-0