An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach
In this paper, we extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers. For such problems, the ?-Pareto optimality is introduce...
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| Published in: | Yugoslav Journal of Operations Research Vol. 21; no. 2; pp. 253 - 273 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
University of Belgrade
2011
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| Subjects: | |
| ISSN: | 0354-0243, 1820-743X |
| Online Access: | Get full text |
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| Summary: | In this paper, we extend TOPSIS (Technique for Order Preference by Similarity
Ideal Solution) for solving Large Scale Multiple Objective Programming
problems involving fuzzy parameters. These fuzzy parameters are characterized
as fuzzy numbers. For such problems, the ?-Pareto optimality is introduced by
extending the ordinary Pareto optimality on the basis of the ?-Level sets of
fuzzy numbers. An interactive fuzzy decision making algorithm for generating
?-Pareto optimal solution through TOPSIS approach is provided, where a
decision maker (DM) is asked to specify the degree ? and the relative
importance of objectives. Finally, a numerical example is given to clarify
the main results developed in the paper.
This article has been retracted. Link to the retraction 10.2298/YJOR141008034U
nema |
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| ISSN: | 0354-0243 1820-743X |
| DOI: | 10.2298/YJOR1102253A |