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Proceedings Paper

An application of ranking function of fuzzy numbers to solve fuzzy revised simplex algorithm and fuzzy decomposition algorithm
Author(s): Mohsen Rostamy-Malkhalifeh; Homa Farajollahi
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Paper 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.

Paper Details

Date Published: 14 January 2012
PDF: 6 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83493G (14 January 2012); doi: 10.1117/12.921139
Show Author Affiliations
Mohsen Rostamy-Malkhalifeh, Islamic Azad Univ. (Iran, Islamic Republic of)
Homa Farajollahi, Teacher Training Univ. (Iran, Islamic Republic of)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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