Novel applications of intuitionistic fuzzy digraphs in decision support systems.

Many problems of practical interest can be modeled and solved by using graph algorithms. In general, graph theory has a wide range of applications in diverse fields. In this paper, the intuitionistic fuzzy organizational and neural network models, intuitionistic fuzzy neurons in medical diagnosis, i...

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Publicado en:Scientific World Journal pp. 904606 - 904607
Autores principales: Akram, Muhammad, Ashraf, Ather, Sarwar, Mansoor
Formato: Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Novel applications of intuitionistic fuzzy digraphs in decision support systems.
      aug:
        au:
          Akram, Muhammad
          Ashraf, Ather
          Sarwar, Mansoor
        affil: Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan.
      sug:
        subj:
          Algorithms
          Logic
          Models, Theoretical
      ab: Many problems of practical interest can be modeled and solved by using graph algorithms. In general, graph theory has a wide range of applications in diverse fields. In this paper, the intuitionistic fuzzy organizational and neural network models, intuitionistic fuzzy neurons in medical diagnosis, intuitionistic fuzzy digraphs in vulnerability assessment of gas pipeline networks, and intuitionistic fuzzy digraphs in travel time are presented as examples of intuitionistic fuzzy digraphs in decision support system. We have also designed and implemented the algorithms for these decision support systems.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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