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Bibliometric Analysis for Site Selection Problems Using Geographic Information Systems, Multi-Criteria Decision Analysis and Fuzzy Method

Authors :
Slamet Setio Wigati
Anna Maria Sri Asih
Heri Sutanta
Bertha Maya Sopha
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.

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