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Project risk identification and analysis based on group decision making methodology in a fuzzy environment / Ahmad Makui in International journal of management science and engineering management, Vol. 5 N° 2 (Avril 2010) 

Public ISBD [article]  in International journal of management science and engineering management > Vol. 5 N° 2 (Avril 2010) . - pp.108-118 Titre : Project risk identification and analysis based on group decision making methodology in a fuzzy environment Type de document : texte imprimé Auteurs : Ahmad Makui, Auteur ; S. Mohammad Mojtahedi, Auteur ; S. Meysam Mousavi, Auteur Année de publication : 2011 Article en page(s) : pp.108-118 Note générale : Management Langues : Anglais (eng) Mots-clés : Risk  identification  Risk  analysis  FMAGDM  Mega  projects Résumé : Project risk management process can remarkably facilitate project’s complexity via strategic insight. In project risk management, the modelling process of the risks may not be performed sufficiently and exactly, because the available data and information are vague, inexact, imprecise and uncertain by nature. The aim of this paper is to present a new methodology for identifying and analysing risks of projects concurrently by applying Fuzzy Multi-Attribute Group Decision Making (FMAGDM) approach. MAGDM, the essence of identification and analysis of project risks, lets one considers multi-attribute problems for the Decision Maker (DM), sets priorities for each decision factor, and analysis ranking for all alternatives. The paper includes a new procedure for classifying potential risks which it is named Potential Risk Breakdown Structure (PRBS) based on project Work Breakdown Structure (WBS). Lesson learned is used for collecting potential risks. Moreover, Obtained results have been applied in one mega project successfully. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?123.html [article] Project risk identification and analysis based on group decision making methodology in a fuzzy environment [texte imprimé] / Ahmad Makui, Auteur ; S. Mohammad Mojtahedi, Auteur ; S. Meysam Mousavi, Auteur . - 2011 . - pp.108-118. Management Langues : Anglais (eng) in International journal of management science and engineering management > Vol. 5 N° 2 (Avril 2010) . - pp.108-118 Mots-clés : Risk  identification  Risk  analysis  FMAGDM  Mega  projects Résumé : Project risk management process can remarkably facilitate project’s complexity via strategic insight. In project risk management, the modelling process of the risks may not be performed sufficiently and exactly, because the available data and information are vague, inexact, imprecise and uncertain by nature. The aim of this paper is to present a new methodology for identifying and analysing risks of projects concurrently by applying Fuzzy Multi-Attribute Group Decision Making (FMAGDM) approach. MAGDM, the essence of identification and analysis of project risks, lets one considers multi-attribute problems for the Decision Maker (DM), sets priorities for each decision factor, and analysis ranking for all alternatives. The paper includes a new procedure for classifying potential risks which it is named Potential Risk Breakdown Structure (PRBS) based on project Work Breakdown Structure (WBS). Lesson learned is used for collecting potential risks. Moreover, Obtained results have been applied in one mega project successfully. DEWEY : 658 ISSN : 1750-9653 En ligne : http://www.ijmsem.org/OnlineJournal.do/?123.html