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Bibliometric Analysis for Site Selection Problems Using Geographic Information Systems, Multi-Criteria Decision Analysis and Fuzzy Method
- Source :
- Journal of Physics: Conference Series. 1351:012051
- Publication Year :
- 2019
- Publisher :
- IOP Publishing, 2019.
-
Abstract
- The integration of Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (GIS-MCDA) are widely used in many fields. Nowadays, GIS-MCDA is combined with a fuzzy method, especially fuzzy logic, as the solutions for many problems, including site selection problem. Site selection is a process to find the most appropriate site with desired conditions by considering a number of criteria. This paper attempts to review various studies undertaken by researchers in order to implement GIS-MCDA and fuzzy method for the site selection problems. The aims of this paper are to provide an overview of the current insight of the topic, an overview of the most MDCA method and fuzzy method used, and to provide a gap for further research. Data analysis in this paper is divided into two sections, i.e. bibliometric analysis and network analysis.
- Subjects :
- History
Geographic information system
business.industry
Computer science
Process (engineering)
Site selection
Multiple-criteria decision analysis
computer.software_genre
Fuzzy logic
Computer Science Applications
Education
Data mining
business
Fuzzy method
computer
Network analysis
Decision analysis
Subjects
Details
- ISSN :
- 17426596 and 17426588
- Volume :
- 1351
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi...........d0b86da0199118efb4ad703d97ac24e4
- Full Text :
- https://doi.org/10.1088/1742-6596/1351/1/012051