Constraint and preference modelling for spatial decision making with use of possibility theory

Abstract

Decision making support is one of the main objectives of geographical information systems. So far mainly boolean queries and boolean logic are used for spatial decision making problems. The study presents utilization of Possibility theory for modelling constraints and preferences for spatial data. The importance of aggregation operators in decision making is discussed as well. The case study involving a simple decision making problem is presented: selection of a waste disposal site based on three parameters - slope, distance from water and landuse. The results are presented and discussed. The main aim is focused on providing more information to the decision maker that will allow him to select the most suitable alternative. © 2014 Springer International Publishing.