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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/3020


    题名: Using fuzzy numbers in knapsack problems
    作者: Lin FT
    Yao JS
    贡献者: 應數系
    关键词: fuzzy sets
    optimization
    knapsack problem
    multiconstraint 0/1 knapsack problem
    signed distance ranking
    日期: 2001
    上传时间: 2009-12-11 12:07:55 (UTC+8)
    摘要: This paper investigates knapsack problems in which all of the weight coefficients are fuzzy numbers. This work is based on the assumption that each weight coefficient is imprecise due to the use of decimal truncation or rough estimation of the coefficients by the decision-maker. To deal with this kind of imprecise data, fuzzy sets provide a powerful tool to model and solve this problem. Our work intends to extend the original knapsack problem into a more generalized problem that would be useful in practical situations. As a result, our study shows that the fuzzy knapsack problem is an extension of the crisp knapsack problem, and that the crisp knapsack problem is a special case of the fuzzy knapsack problem. (C) 2001 Elsevier Science B.V. All rights reserved.
    關聯: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH Volume: 135 Issue: 1 Pages: 158-176
    显示于类别:[應數系] 期刊論文

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