Integrating GIS and MCDM Using
نویسندگان
چکیده
Problems involving the processing of spatial data such as industrial site selection and land use allocation are multifacetted challenges. Not only they often involve numerous technical requirements, but may also contain economical, social, environmental and political dimensions that may have conflicting values. Solutions for these problems involve highly complex spatial data analysis processes and frequently require advanced means to address physical suitability conditions, while considering the multiple socio-economic variables. Geographic Information Systems (GIS) and Multi-Criteria DecisionMaking techniques (MCDM) are two common tools employed to solve these problems. However, each suffers from serious shortcomings. GIS, which deals mainly with physical suitability analysis, has very limited capability of incorporating the decision maker’s preferences into the problem solving process. MCDM, which deals mainly with analyzing decision problems and evaluating the alternatives based on a decision maker’s values and preferences, lacks the capability of handling spatial data (e. g., buffering and overlay) that are crucial to spatial analysis. The need for combining the strengths of these two techniques has prompted researchers to seek integration of GIS and MCDM. Current integration strategies (loose coupling and tight coupling) have their own limitations. Such limitations were successfully eliminated by using Component Object Model (COM) technology to integrate GIS and MCDM. An illustrative example was included to validate the capabilities of the presented integration strategy.
منابع مشابه
Developing GIS Tools to Integrate MCDM Models for the Analysis of Bank Branch Closures
In this research, MCDM methods have been integrated with a GIS to provide the means to prioritise branch closure procedures based upon a variety of different choice criteria and on the importance (weight) a decision maker might attach to these. Both MCDM and GIS are well established methods and fields of research. Their integration, however, seems at best an emerging field. This paper describes...
متن کاملA Gis-based Multicriteria Approaches to Land Use Suitability Assessment and Allocation
ABSTRACT. ––Land suitability assessment in a Geographic Information System (GIS) environment is formulated as a multi-criteria decision making (MCDM) problem. Different MCDM approaches are developed to combine factors in a suitability analysis of land for potential land uses. These MCDM approaches are used to develop a generic suitability index. Approaches include both qualitative and quantitat...
متن کاملCombining Fuzzy Sets and Databases in Multiple Criteria Spatial Decision Making
Spatial decision making is a fundamental function of contemporary Geographic Information Systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static m...
متن کاملEvaluate the natural capacity of winter sports tourism development in rural areas Zab basin using GIS and MCDM
متن کامل
A GIS-Based Sensitivity Analysis of Multi-Criteria Weights
Sensitivity analysis (SA) is a prerequisite for model building since it determines the reliability of the model through assessment of uncertainties in the simulation results. With growing interest in extending GIS to support multi-criteria decision-making (MCDM) methods, enhancing GIS-based MCDM with sensitivity analysis procedures is crucial. SA should be involved in GIS-MCDM model evaluation ...
متن کامل