计算机与现代化

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模糊权值网络最小生成树问题的矩阵算法

  

  1.  (宝鸡文理学院数学与信息科学学院,陕西宝鸡721013)
  • 收稿日期:2016-04-22 出版日期:2016-09-12 发布日期:2016-09-13
  • 作者简介:孙小军(1978-),男,陕西宝鸡人,宝鸡文理学院数学与信息科学学院副教授,硕士,研究方向:网络优化与数学建模。
  • 基金资助:
    陕西省自然科学基础研究计划资助项目(2013JM1001); 宝鸡文理学院校级重点项目(ZK16027)

Matrix Algorithm for Minimum Spanning Tree Problem on Fuzzy Weighted Network

  1. (Institute of Mathematics and Information Science, Baoji University of Arts and Sciences, Baoji 721013, China)
  • Received:2016-04-22 Online:2016-09-12 Published:2016-09-13

摘要: 通过研究模糊权值网络中的最小生成树问题,使用基于模糊数的结构元加权序和经典最小生成树问题的改进权矩阵法,本文提出一种求解边权值为三角模糊数的模糊权值网络最小生成树问题的矩阵算法,并对算法的复杂度和正确性进行分析。通过实例验证了该算法的有效性。

关键词: 模糊权值网络, 三角模糊数, 模糊结构元, 权矩阵法, 最小生成树

Abstract:

The minimum spanning tree problem on fuzzy weighted network was studied. Based on the weighted ranking of fuzzy number’s structured element and the improved weight matrix method for the classical minimum spanning tree problem, a matrix algorithm was proposed for the minimum spanning tree problem on this fuzzy weighted network whose weight is triangular fuzzy number. And its complexity and correctness was analyzed.  Experimental result shows that the algorithm is effective.

Key words: fuzzy weighted network, triangular fuzzy number, fuzzy structured element, weight matrix method, minimum spanning tree

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