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Signaling system selection based on a full fuzzy hierarchical-TOPSIS algorithm / Javad Lessan in International journal of management science and engineering management, Vol. 5 N° 5 (Octobre 2010) 

Public ISBD [article]  in International journal of management science and engineering management > Vol. 5 N° 5 (Octobre 2010) . - pp.393-400 Titre : Signaling system selection based on a full fuzzy hierarchical-TOPSIS algorithm Type de document : texte imprimé Auteurs : Javad Lessan, Auteur ; Ahmad Mirabadi, Auteur ; Yaser Gholamzadeh Jeddi, Auteur Année de publication : 2011 Article en page(s) : pp.393-400 Note générale : Management Langues : Anglais (eng) Mots-clés : Signaling  system  selection  Fuzzy  multi  criteria  decision  making  Fuzzy-TOPSIS  Non-linear  programming  Fuzzy  ranking. Résumé : This paper proposes a full fuzzy TOPSIS as an optimization model for railway signaling system selection issue. The study is a new approach to such problems in railway domain. Analysis of the obtained results is explained and they indicate that the proposed approach as full fuzzy decision support model is a feasible and practical approach. The approach needs no defuzzification and it considers both the qualitative and quantitative. The fuzzy approach is employed to cope with imprecision in the assessment of the relative importance of criteria and alternatives. In proposed method given a linguistic verbal judgment matrix, fuzzy normalized judgment matrix is constructed by implementing a new developed normalization method. Then the fuzzy scores of the alternatives are determined based on solving of a non-linear programming model. Finally the ranks of the alternatives are determined through a fuzzy ranking method. The aforementioned algorithm was applied in one of the railway lines of Iran. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?157.html [article] Signaling system selection based on a full fuzzy hierarchical-TOPSIS algorithm [texte imprimé] / Javad Lessan, Auteur ; Ahmad Mirabadi, Auteur ; Yaser Gholamzadeh Jeddi, Auteur . - 2011 . - pp.393-400. Management Langues : Anglais (eng) in International journal of management science and engineering management > Vol. 5 N° 5 (Octobre 2010) . - pp.393-400 Mots-clés : Signaling  system  selection  Fuzzy  multi  criteria  decision  making  Fuzzy-TOPSIS  Non-linear  programming  Fuzzy  ranking. Résumé : This paper proposes a full fuzzy TOPSIS as an optimization model for railway signaling system selection issue. The study is a new approach to such problems in railway domain. Analysis of the obtained results is explained and they indicate that the proposed approach as full fuzzy decision support model is a feasible and practical approach. The approach needs no defuzzification and it considers both the qualitative and quantitative. The fuzzy approach is employed to cope with imprecision in the assessment of the relative importance of criteria and alternatives. In proposed method given a linguistic verbal judgment matrix, fuzzy normalized judgment matrix is constructed by implementing a new developed normalization method. Then the fuzzy scores of the alternatives are determined based on solving of a non-linear programming model. Finally the ranks of the alternatives are determined through a fuzzy ranking method. The aforementioned algorithm was applied in one of the railway lines of Iran. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?157.html