Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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 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 rulebased 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.
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 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 rulebased 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.
A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model
Fallahpour, Alireza (Autor:in) / Wong, Kuan Yew (Autor:in) / Rajoo, Srithar (Autor:in) / Olugu, Ezutah Udoncy (Autor:in) / Nilashi, Mehrbakhsh (Autor:in) / Turskis, Zenonas (Autor:in)
20.03.2020
doi:10.3846/jcem.2020.12183
Journal of Civil Engineering and Management; Vol 26 No 3 (2020); 247-258 ; 1822-3605 ; 1392-3730
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC:
690
| DOAJ | 2020
| BASE | 2020
Fuzzy Multicriteria Decision Support for Information Systems Project Selection
| British Library Online Contents | 2010
Decision support model for selecting project delivery methods in sustainable construction projects
| TIBKAT | 2024
Construction project delivery cloud decision-support model
Online Contents | 2017