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A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model

Sustainability has become a key concern for project selection in construction industries. Determining the best sustainable project based on various sustainability attributes is a very complicated decision. Accordingly, developing a suitable decision support framework can be very helpful for decision...

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Main Authors: Fallahpour, Alireza, Wong, Kuan Yew, Rajoo, Srithar, Olugu, Ezutah Udoncy, Nilashi, Mehrbakhsh, Turskis, Zenonas
Format: Article
Published: Vilnius Gediminas Technical University 2020
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/87307/
http://dx.doi.org/10.3846/jcem.2020.12183
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spelling my.utm.873072020-10-31T12:29:34Z http://eprints.utm.my/id/eprint/87307/ A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model Fallahpour, Alireza Wong, Kuan Yew Rajoo, Srithar Olugu, Ezutah Udoncy Nilashi, Mehrbakhsh Turskis, Zenonas TJ Mechanical engineering and machinery Sustainability has become a key concern for project selection in construction industries. Determining the best sustainable project based on various sustainability attributes is a very complicated decision. Accordingly, developing a suitable decision support framework can be very helpful for decision makers to attain planned business goals and complete projects at the right time with good quality. This research develops a decision support model which helps managers to understand the concept of sustainability in construction project selection and choose the best project using a new integrated Multi-Criteria Decision Making (MCDM) approach under uncertainty by integrating Fuzzy Preference Programming (FPP) as a modification of Fuzzy Analytical Hierarchy Process (FAHP), with Fuzzy Inference System (FIS) as a fuzzy rule-based expert system. In the first phase of the research, fifteen sustainability attributes were selected. In the second phase, the final weight of each attribute was computed by using FPP. In the last phase, the most appropriate project was selected by running the weighted FIS. The results showed that Project 3 (P3) is the best project. Finally, two different evaluative tests were also applied to verify the validity and robustness of the developed model. Vilnius Gediminas Technical University 2020 Article PeerReviewed Fallahpour, Alireza and Wong, Kuan Yew and Rajoo, Srithar and Olugu, Ezutah Udoncy and Nilashi, Mehrbakhsh and Turskis, Zenonas (2020) A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model. Journal of Civil Engineering and Management, 26 (3). pp. 247-258. ISSN 1392-3730 http://dx.doi.org/10.3846/jcem.2020.12183
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Fallahpour, Alireza
Wong, Kuan Yew
Rajoo, Srithar
Olugu, Ezutah Udoncy
Nilashi, Mehrbakhsh
Turskis, Zenonas
A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
description Sustainability has become a key concern for project selection in construction industries. Determining the best sustainable project based on various sustainability attributes is a very complicated decision. Accordingly, developing a suitable decision support framework can be very helpful for decision makers to attain planned business goals and complete projects at the right time with good quality. This research develops a decision support model which helps managers to understand the concept of sustainability in construction project selection and choose the best project using a new integrated Multi-Criteria Decision Making (MCDM) approach under uncertainty by integrating Fuzzy Preference Programming (FPP) as a modification of Fuzzy Analytical Hierarchy Process (FAHP), with Fuzzy Inference System (FIS) as a fuzzy rule-based expert system. In the first phase of the research, fifteen sustainability attributes were selected. In the second phase, the final weight of each attribute was computed by using FPP. In the last phase, the most appropriate project was selected by running the weighted FIS. The results showed that Project 3 (P3) is the best project. Finally, two different evaluative tests were also applied to verify the validity and robustness of the developed model.
format Article
author Fallahpour, Alireza
Wong, Kuan Yew
Rajoo, Srithar
Olugu, Ezutah Udoncy
Nilashi, Mehrbakhsh
Turskis, Zenonas
author_facet Fallahpour, Alireza
Wong, Kuan Yew
Rajoo, Srithar
Olugu, Ezutah Udoncy
Nilashi, Mehrbakhsh
Turskis, Zenonas
author_sort Fallahpour, Alireza
title A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
title_short A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
title_full A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
title_fullStr A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
title_full_unstemmed A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
title_sort fuzzy decision support system for sustainable construction project selection: an integrated fpp-fis model
publisher Vilnius Gediminas Technical University
publishDate 2020
url http://eprints.utm.my/id/eprint/87307/
http://dx.doi.org/10.3846/jcem.2020.12183
_version_ 1683230718889558016
score 13.211869

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