Paper
12 January 2012 A proposed algorithm for solving fuzzy multi-objectives linear programming
Mohsen Darbani, Farhad Roohi
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mohsen Darbani and Farhad Roohi "A proposed algorithm for solving fuzzy multi-objectives linear programming", 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); https://doi.org/10.1117/12.920900
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Fuzzy logic

Computer programming

Chemical elements

Algorithm development

Tolerancing

Algorithms

Machine vision

Back to Top