Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment
Project management is a process that is involved with making important decisions under uncertainty. In project management often the existing data is limited and vague. Sustainable project selection has a multi-criteria evaluation nature which calls for attending to various often conflicting factors...
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Format: | Article |
Language: | English |
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Vilnius Gediminas Technical University
2019-09-01
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Series: | International Journal of Strategic Property Management |
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Online Access: | https://jbem.vgtu.lt/index.php/IJSPM/article/view/10536 |
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author | Vahid Mohagheghi Seyed Meysam Mousavi Jurgita Antuchevičienė Yahya Dorfeshan |
author_facet | Vahid Mohagheghi Seyed Meysam Mousavi Jurgita Antuchevičienė Yahya Dorfeshan |
author_sort | Vahid Mohagheghi |
collection | DOAJ |
description | Project management is a process that is involved with making important decisions under uncertainty. In project management often the existing data is limited and vague. Sustainable project selection has a multi-criteria evaluation nature which calls for attending to various often conflicting factors under vagueness. To deal with sustainable project selection several important factors should be properly considered. In this paper, in order to provide a new multi-criteria project selection method, a novel last aggregation method is presented. This method has several main novelties. First, to address uncertainty interval type 2 fuzzy sets (IT2FSs) are used. Second, the importance of criteria is investigated by using IT2F entropy. Third, a novel index for decision making is presented that has the merits of ratio system in MOORA and COPRAS, named MORAS. Fourth, the weights of decision makers are computed according to the obtained judgments and the weights are employed to aggregate the results. Fifth, the defuzzification is carried out in the last step of the process by means of a new IT2F ranking method. To present the applicability of the method, it is used in an existing case study in the literature and the outcomes are presented. |
first_indexed | 2024-12-20T16:30:03Z |
format | Article |
id | doaj.art-15bbbe83121941e889a2e63ee23a69c8 |
institution | Directory Open Access Journal |
issn | 1648-715X 1648-9179 |
language | English |
last_indexed | 2024-12-20T16:30:03Z |
publishDate | 2019-09-01 |
publisher | Vilnius Gediminas Technical University |
record_format | Article |
series | International Journal of Strategic Property Management |
spelling | doaj.art-15bbbe83121941e889a2e63ee23a69c82022-12-21T19:33:17ZengVilnius Gediminas Technical UniversityInternational Journal of Strategic Property Management1648-715X1648-91792019-09-0123610.3846/ijspm.2019.10536Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environmentVahid Mohagheghi0Seyed Meysam Mousavi1Jurgita Antuchevičienė2Yahya Dorfeshan3Department of Industrial Engineering, Shahed University, Tehran, IranDepartment of Industrial Engineering, Shahed University, Tehran, IranDepartment of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, LithuaniaSchool of Industrial Engineering, College of Engineering, University of Tehran, Tehran, IranProject management is a process that is involved with making important decisions under uncertainty. In project management often the existing data is limited and vague. Sustainable project selection has a multi-criteria evaluation nature which calls for attending to various often conflicting factors under vagueness. To deal with sustainable project selection several important factors should be properly considered. In this paper, in order to provide a new multi-criteria project selection method, a novel last aggregation method is presented. This method has several main novelties. First, to address uncertainty interval type 2 fuzzy sets (IT2FSs) are used. Second, the importance of criteria is investigated by using IT2F entropy. Third, a novel index for decision making is presented that has the merits of ratio system in MOORA and COPRAS, named MORAS. Fourth, the weights of decision makers are computed according to the obtained judgments and the weights are employed to aggregate the results. Fifth, the defuzzification is carried out in the last step of the process by means of a new IT2F ranking method. To present the applicability of the method, it is used in an existing case study in the literature and the outcomes are presented.https://jbem.vgtu.lt/index.php/IJSPM/article/view/10536interval type 2 fuzzy sets (IT2FSs)decision makers’ weightsentropylast aggregationCOPRASMOORA |
spellingShingle | Vahid Mohagheghi Seyed Meysam Mousavi Jurgita Antuchevičienė Yahya Dorfeshan Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment International Journal of Strategic Property Management interval type 2 fuzzy sets (IT2FSs) decision makers’ weights entropy last aggregation COPRAS MOORA |
title | Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment |
title_full | Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment |
title_fullStr | Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment |
title_full_unstemmed | Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment |
title_short | Sustainable infrastructure project selection by a new group decision-making framework introducing MORAS method in an interval type 2 fuzzy environment |
title_sort | sustainable infrastructure project selection by a new group decision making framework introducing moras method in an interval type 2 fuzzy environment |
topic | interval type 2 fuzzy sets (IT2FSs) decision makers’ weights entropy last aggregation COPRAS MOORA |
url | https://jbem.vgtu.lt/index.php/IJSPM/article/view/10536 |
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