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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/2431


    Title: The optimal solution of the transportation problem with fuzzy demand and fuzzy product
    Authors: Chiang, J.S.
    Contributors: 應用數學系
    Date: 2005
    Issue Date: 2009-10-30 15:18:36 (UTC+8)
    Abstract: In crisp transportation, trying to fuzzify the amount of supply of the ith origin a(i) and the amount of demand of the jth destination b(j), we use level lambda fuzzy numbers and level (lambda, p) interval-valued fuzzy numbers to fuzzify a(i) and b(j) in the constraints. We get transportation problem in the fuzzy sense. We also cooperate some statistical concepts and corresponding to (1 - alpha) x 100% statistical confidence intervals of the amount of supply and the amount of demand. We use level (1 - beta, 1 - alpha) interval-valued fuzzy numbers to fuzzify demand and product in the constraints. Then we get transportation problem in the fuzzy sense based on statistical data.
    Relation: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING v.21 n.2 Pages: 439-451
    Appears in Collections:[Department of Applied Mathematics] journal articles

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