Exercises involving spatial decision-making such as industrial site selection, land use allocation, and alike are challenges that are multi-facetted by nature. They usually involve not only technical requirements, but also economical, social, environmental and political dimensions. It is not uncommon for the decision variables to have conflicting values. Solutions for such challenges frequently involve highly complex spatial decision-making processes that require simultaneous use of several decision support tools such as Geographic Information Systems (GIS) and Multi Criteria Decision Making (MCDM) techniques. Integration of the capabilities of these tools is crucial to the feasibility of reaching a final solution. Therefore, developing efficient integration strategies became a high priority to many researchers .