A two-phase procedure for a multi-objective programming problem with fuzzy coefficients based on group decision making for project selection

Regional Development Agencies (RDAs) play a major role in ensuring sustainability and reducing inter-regional and intra-regional development disparities in line with the principles and policies set in the National Development Plan and Programs. This is done by enhancing cooperation among the public...

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Veröffentlicht in:Croatian Operational Research Review Jg. 8; H. 1; S. 317 - 332
1. Verfasser: Eren, Miraç
Format: Journal Article Paper
Sprache:Englisch
Veröffentlicht: Zagreb Croatian Operational Research Society (CRORS) 01.01.2017
Hrvatsko društvo za operacijska istraživanja
Croatian Operational Research Society
Schlagworte:
Area planning & development
Decision making
fuzzy parameters
Linear programming
Mathematical programming
Multiple objective analysis
multiple objective programming
NGOs
Nongovernmental organizations
project selection
Regional development
Regional development agencies
Software
Technical services
ISSN:1848-0225, 1848-9931
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Zusammenfassung:Regional Development Agencies (RDAs) play a major role in ensuring sustainability and reducing inter-regional and intra-regional development disparities in line with the principles and policies set in the National Development Plan and Programs. This is done by enhancing cooperation among the public and private sectors, as well as non-governmental organizations. To achieve these targets, RDAs use certain tools such as financial support programs, technical support programs, and the like. Accordingly, an effective evaluation mechanism is crucial in selecting projects that have more added value and higher multiplier effects. In this regard, determining the right parameters that assist in choosing the best projects should be clearly demonstrated. In this study, the selection of projects according to the evaluating criteria of support mechanisms considered by RDAs are discussed through the procedure provided by a practical solution methodology, which is an integration of fuzzy parametric programming (FPP) and fuzzy linear programming (FLP). Later, a two-phase procedure is introduced to solve multi-objective fuzzy linear programming problems.
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content type line 14
181679
ISSN:1848-0225
1848-9931
DOI:10.17535/crorr.2017.0020