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Proceedings Paper

A proposed algorithm for solving fuzzy multi-objectives linear programming
Author(s): Mohsen Darbani; Farhad Roohi
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Paper Abstract

Multiobjectives linear programming (MOLP) is one of the most important models for decision-making experts. When the parameters can be represented by fuzzy numbers, it would be more interesting. In this paper, we present an approximate algorithm for solving the fuzzy multiobjectives linear programming (FMOLP), where the coefficients of objective functions and constraints are fuzzy. This algorithm solved MOLP problem obtained after converting fuzzy coefficients to fixed coefficients, by using the maximin method. A detailed description and analysis of the algorithm are supplied, and an illustrative example is presented.

Paper Details

Date Published: 12 January 2012
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83500Q (12 January 2012); doi: 10.1117/12.920900
Show Author Affiliations
Mohsen Darbani, Zanjan Univ. (Iran, Islamic Republic of)
Farhad Roohi, Zanjan Univ. (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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