An application of ranking function of fuzzy numbers to solve fuzzy revised simplex algorithm and fuzzy decomposition algorithm

Mohsen Rostamy-Malkhalifeh; Homa Farajollahi

doi:10.1117/12.921139

13 January 2012 An application of ranking function of fuzzy numbers to solve fuzzy revised simplex algorithm and fuzzy decomposition algorithm

Mohsen Rostamy-Malkhalifeh, Homa Farajollahi

Author Affiliations +

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83493G (2012) https://doi.org/10.1117/12.921139
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

The decomposition algorithm is the one of the method that have be applied for converting large scale problem into one or more smaller problem. In the condition of uncertainty, one way is using fuzzy linear programming(FLP) to solve this algorithm . For solving FLP problems we can use ranking functions of fuzzy numbers. in this paper, we use a new ranking function suggested by Hajarri[11], and propose a method for solving fuzzy revised simplex algorithm and then apply this algorithm to solve fuzzy decomposition algorithm, in the case of bounded space.

Citation Download Citation

Mohsen Rostamy-Malkhalifeh and Homa Farajollahi "An application of ranking function of fuzzy numbers to solve fuzzy revised simplex algorithm and fuzzy decomposition algorithm", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83493G (13 January 2012); https://doi.org/10.1117/12.921139

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