MATISSE; a knowledge-based system for industrial site selection and evaluation

摘要

This paper reports on the development of a knowledge-based system for industrial site selection. The system treats the concept of site suitability as a matching process, using decision tables (DTs). The proposed system is tested using the locational choice problem of the (petro)- chemical industry. The system has been given the acronym MATISSE (Matching Algorithm, a Technique for Industrial Site Selection and Evaluation). The knowledge base of the system was created by conducting a series of in-depth interviews supplemented with a detailed survey of the relevant literature. Using this information, a series of DTs could be constructed using PROLOGA95. In total, 90 crisp (sub)DTs were constructed. This set of DTs can be used as a decision-support system to select and evaluate potential sites, given a set of locational requirements.