Integrating GIS and Fuzzy Sets to Develop Multi-Criteria Spatial Decision Production

Abstract

One of the most advanced features of GIS programs is the use of a combination of multiple criteria to make specific decisions about site selection. This is achieved by using layers of different criteria for land use on the geographic map in the GIS program. Site selection criteria are closely related in practice. Therefore, many methods deal with different criteria. Normally, decision-making processes result from the integration of various criteria, which are often interdependent and complex. The primary goal of this study is to identify the feasibility of integrating Multi-Criteria Decision-Making (MCDM) with GIS. MCDM is developed through fuzzy implementation and theory development, as a mean of representing performance for decision alternatives, in order to weight the criteria used in the evaluation of criteria and fuzzy-ANP working methods. The current investigation has been conducted on selection criteria for multi-level car parking sites in Karbala city. An appropriate location for public parking has been selected by considering physical site features, exclusion space, traffic conditions and economic criteria. The results show that the proposed method can simultaneously include many geospatial data and restrictions in order to enhance decision-making using a fuzzy logic-based GIS approach.