Development of an optimal spatial decision-making system using approximate reasoning

摘要: There is a recognised need for the continued improvement of both techniques and technology spatial decision support in infrastructure site selection. Many authors have noted that current methodologies are inadequate real-world selection decisions carried out by heterogeneous groups decision-makers under uncertainty. Nevertheless despite numerous limitations inherent problem solving methods, systems been proven to increase decision-maker effectiveness when used. However, due real or perceived difficulty using these few applications actually use siting decisions. The most common difficulties encountered involve standardising criterion ratings, communicating results. This research has focused on Approximate Reasoning improve support, make them easier understand. algorithm developed this (ARAISS) based natural language describe variables such as suitability, certainty, risk consensus. uses method type II fuzzy sets represent variables. ARAISS was subsequently incorporated into new Spatial Decision Support System (InfraPlanner) validated at Australia's Brisbane Airport. Results indicate promising planning Natural inputs outputs, combined with an easily understandable multiple framework created environment conducive information sharing consensus building among parties. Future should focus Genetic Algorithms other Artificial Intelligence broaden scope existing work.