LOGISTICS FREIGHT CENTER LOCATIONS DECISION BY USING FUZZY-PROMETHEE
Open Access
- 16 December 2014
- journal article
- Published by Vilnius Gediminas Technical University in TRANSPORT
- Vol. 29 (4), 412-418
- https://doi.org/10.3846/16484142.2014.983966
Abstract
Fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (F-PROMETHEE) was applied for choosing among potential logistics center locations. The method combines the concept of fuzzy sets to represent uncertain information with the PROMETHEE, a subgroup of Multi-Criteria Decision-Making (MCDM) methods. Criteria are identified based on review of scientific and trade literature and inputs received from experts. The suitability of areas have been evaluated on the basis of these criteria. There are substantial uncertainties and subjectivity about site information. Therefore F-PROMETHEE method is preferred. The case study shows that this application provides reasonable results.Keywords
This publication has 34 references indexed in Scilit:
- A NOVEL HYBRID SWARA AND VIKOR METHODOLOGY FOR SUPPLIER SELECTION IN AN AGILE ENVIRONMENTTechnological and Economic Development of Economy, 2013
- DEVELOPING A PROJECT PORTFOLIO SELECTION MODEL FOR CONTRACTOR FIRMS CONSIDERING THE RISK FACTORJOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2012
- Prioritizing constructing projects of municipalities based on ahp and copras-g: a case study about footbridges in IranThe Baltic Journal of Road and Bridge Engineering, 2012
- PROMETHEE: A comprehensive literature review on methodologies and applicationsEuropean Journal of Operational Research, 2010
- Ranking fuzzy numbers by distance minimizationApplied Mathematical Modelling, 2007
- A fuzzy preference-ranking model for a quality evaluation of hospital web sitesInternational Journal of Intelligent Systems, 2006
- Promethee MethodsPublished by Springer Science and Business Media LLC ,2006
- A new approach for ranking fuzzy numbers by distance methodFuzzy Sets and Systems, 1998
- A note on the use of PROMETHEE multicriteria methodsEuropean Journal of Operational Research, 1996
- Decision-Making in a Fuzzy EnvironmentManagement Science, 1970