Título Improved Decision Model for Evaluating Risks in Construction Projects
Autores YAZDANI, MORTEZA, Abdi M.R. , Kumar N. , Keshavarz-Ghorabaee M. , Chan F.T.S.
Publicación externa No
Medio J Constr Eng Manage
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 2.34700
Impacto SJR 1.03900
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062029535&doi=10.1061%2f%28ASCE%29CO.1943-7862.0001640&partnerID=40&md5=75ba3a93698c007313918bad7e015c0e
Fecha de publicacion 01/01/2019
ISI 000459195200001
Scopus Id 2-s2.0-85062029535
DOI 10.1061/(ASCE)CO.1943-7862.0001640
Abstract The paper develops an innovative risk evaluation methodology to address the challenges of multicriteria decision-making problem of project evaluation and selection. The methodology considers the fuzzy analytic network process (FANP) to incorporate the interdependencies of different risk factors, and failure mode and effect analysis (FMEA) to conduct the rating analysis of projects to develop the decision matrix. Finally, evaluation based on the distance from the average solution compares alternative projects and reports the optimal solution. The proposed approach allows project managers to engage in the evaluation process and to use fuzzy linguistic values in the assessment process. A case study from the construction sector is selected to verify the efficacy of the proposed approach over other popular approaches in the literature. © 2019 American Society of Civil Engineers.
Palabras clave Construction industry; Decision making; Fuzzy logic; Project management; Construction projects; Different risk factors; Failure mode and effect analysis; Fuzzy analytic network process; Fuzzy analytic
Miembros de la Universidad Loyola

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