Evaluating Projects Based on Intuitionistic Fuzzy Group Decision Making
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Hindawi Ltd
Open Access Color
GOLD
Green Open Access
Yes
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No
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Average
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Top 10%
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Top 10%
Abstract
There are various methods regarding project selection in different fields. This paper deals with an actual application of construction project selection, using two aggregation operators. First, the opinion of experts is used in a model of group decision making called intuitionistic fuzzy TOPSIS (IFT). Secondly, project evaluation is formulated by dynamic intuitionistic fuzzy weighted averaging (DIFWA). Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers (DMs) for rating the importance of criteria and alternatives. A numerical example for project selection is given to clarify the main developed result in this paper.
Description
Erdebilli, Babek/0000-0001-8860-3903
ORCID
Keywords
[No Keyword Available], Statistics and Probability, Composite material, Intuitionistic Fuzzy Sets, Artificial intelligence, Environmental Decision Making, FOS: Political science, Social Sciences, Organic chemistry, Fuzzy Differential Equations and Uncertainty Modeling, Group Decision Making, FOS: Law, Multi-Criteria Decision Making, Management Science and Operations Research, Operator (biology), Operations research, Biochemistry, Gene, Decision Sciences, Multi-Objective Transportation Problem Optimization, Intuitionistic Fuzzy, Engineering, Selection (genetic algorithm), Group decision-making, Machine learning, QA1-939, FOS: Mathematics, TOPSIS, Political science, Group (periodic table), GIS-based Decision Analysis, Mathematical optimization, Score, Computer science, Materials science, Management science, Fuzzy logic, Chemistry, Aggregate (composite), Control and Systems Engineering, Physical Sciences, Repressor, Transcription factor, Law, Mathematics, dynamic intuitionistic fuzzy weighted averaging, Case-oriented studies in operations research, Fuzzy and other nonstochastic uncertainty mathematical programming, intuitionistic fuzzy TOPSIS, Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.)
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q2
Scopus Q
Q2
OpenCitations Citation Count
17
Source
Journal of Applied Mathematics
Volume
2012
Issue
Start Page
End Page
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Citations
CrossRef : 14
Scopus : 25
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Mendeley Readers : 27
SCOPUS™ Citations
25
checked on Jan 27, 2026
Web of Science™ Citations
19
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Page Views
2
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