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

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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.

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Wigati, S. S., Sopha, B. M., Sri Asih, A. M., & Sutanta, H. (2019). Bibliometric Analysis for Site Selection Problems Using Geographic Information Systems, Multi-Criteria Decision Analysis and Fuzzy Method. In Journal of Physics: Conference Series (Vol. 1351). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1351/1/012051

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