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基于三角模糊TOPSIS算法的制造资源优化选择
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国家自然科学基金资助项目(51305210;61502239);江苏省自然科学基金资助项目(BK20150924);南京信息工程大学大学生实践创新项目(201510300269)


Optimal Selection of Manufacturing Resource Based on Triangular Fuzzy TOPSIS Algorithm
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    摘要:

    网络环境中对制造资源信息的描述往往是不确定的和模糊的。采用最小值区间、最可能值和最大值区间表示的三角模糊数对制造资源信息进行统一描述,探讨了三角模糊数的运算法则、制造资源信息到三角模糊数的转化以及任务需求已知时制造资源信息的修正,引入了目前在决策支持过程中比较流行的TOPSIS算法,研究了基于三角模糊区间的TOPSIS算法以及应用该算法进行制造资源优化选择的一般流程。最后通过实例与已有算法进行比较,验证了该算法的有效性。

    Abstract:

    The description of manufacturing resource information is often uncertain and fuzzy in networked environment. So the triangular fuzzy numbers including the minimum interval, the best value and the maximum interval are proposed to describe the manufacturing resource information. The operations of the triangular fuzzy numbers, the conversion rules from the manufacturing resource information to triangular fuzzy number and the modification of the information when the task requirements are known, were discussed. Based on these, popular TOPSIS algorithm in decision support system was introduced. TOPSIS algorithm based on the triangular fuzzy interval and its application in optimal selection of manufacturing resources were studied. Finally, the effectiveness of the proposed algorithm is verified by comparing with the existing algorithms.

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付景枝,臧鹏飞,张腾腾,吴代露.基于三角模糊TOPSIS算法的制造资源优化选择[J].机床与液压,2018,46(3):137-142.
. Optimal Selection of Manufacturing Resource Based on Triangular Fuzzy TOPSIS Algorithm[J]. Machine Tool & Hydraulics,2018,46(3):137-142

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  • 在线发布日期: 2018-05-02
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