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  • 标题:An Algorithm for Extracting Intuitionistic Fuzzy Shortest Path in a Graph
  • 本地全文:下载
  • 作者:Siddhartha Sankar Biswas ; Bashir Alam ; M. N. Doja
  • 期刊名称:Applied Computational Intelligence and Soft Computing
  • 印刷版ISSN:1687-9724
  • 电子版ISSN:1687-9732
  • 出版年度:2013
  • 卷号:2013
  • 页码:1-5
  • DOI:10.1155/2013/970197
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We consider an intuitionistic fuzzy shortest path problem (IFSPP) in a directed graph where the weights of the links are intuitionistic fuzzy numbers. We develop a method to search for an intuitionistic fuzzy shortest path from a source node to a destination node. We coin the concept of classical Dijkstra’s algorithm which is applicable to graphs with crisp weights and then extend this concept to graphs where the weights of the arcs are intuitionistic fuzzy numbers. It is claimed that the method may play a major role in many application areas of computer science, communication network, transportation systems, and so forth. in particular to those networks for which the link weights (costs) are ill defined.
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