Publication: A two phased fuzzy methodology for selection among municipal projects
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Date
Advisor
Department
Journal Title
Journal ISSN
Volume Title
Publisher
Vilnius Gediminas Technical University
Type
Abstract
A municipality improves the quality of community life through its projects and actions. However, project selection and prioritization by municipalities are highly complex processes. Therefore, multicriteria decision making (MCDM) methodologies are very suitable for determining the best alternative. Recently, some studies have concentrated on the selection of the best project alternatives. In this paper, a two phased fuzzy MCDM methodology is proposed for the selection among municipal projects. In the first phase, fuzzy TOPSIS method is used to select the main project group and then fuzzy AHP is used to select the best sub-municipal project. The application of the suggested methodology has been made at the central district municipality in Konya, Turkey.
Description
Journal or Series
Technological and Economic Development of Economy
ISSN
2029-4913
ISBN
Rights
OPEN
Keywords
Prioritization, Artificial intelligence, HF5001-6182, Environmental Decision Making, municipal project selection, Decision Support Systems, Social Sciences, Economic growth, development, planning, Group Decision Making, fuzzy AHP, Multi-Criteria Decision Making, Management Science and Operations Research, Management, Monitoring, Policy and Law, Operations research, Optimization of Container Terminal Operations and Logistics, Industrial and Manufacturing Engineering, fuzzy TOPSIS, Decision Sciences, Engineering, Selection (genetic algorithm), Machine learning, Business, Topsis, MCDM Methods, Multi-Criteria Analysis, Analytic hierarchy process, Land-Use Suitability Assessment Using GIS, Multiple-criteria decision analysis, Computer science, Management science, integrated fuzzy methodology, Fuzzy logic, Environmental Science, Physical Sciences, HD72-88