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Minimum Cost Flow Problem with Fuzzy Parameters

عنوان مقاله: Minimum Cost Flow Problem with Fuzzy Parameters
شناسه ملی مقاله: FJCFIS02_080
منتشر شده در دومین کنگره مشترک سیستمهای فازی و هوشمند ایران در سال 1387
مشخصات نویسندگان مقاله:

M Bagherian - Malek Ashtar Univ. of Tech
R Zardashti - Malek Ashtar Univ. of Tech.

خلاصه مقاله:
The Minimum Cost Flow (MCF) problem is the most fundamental of all network flow problems. In this paper the MCF problem with fuzzy parameters isconsidered. Based on integer solution property of the problem, the Yager ranking indices can be calculated for fuzzy arc costs to change the fuzzy arc costs to crisp ones. Consequently the problem can be converted to a MCF problem with fuzzy arc capacities and fuzzysupplydemands. Then by defining the fuzzy residualnetwork, the MCF algorithms are developed to solve this problem efficiently

کلمات کلیدی:
Network flows, minimum cost flow,fuzzy networks

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/203791/