Fuzzy Simple Additive Weighting for Evaluating a Personalised Geographical Information System Katerina Kabassi Abstract This paper presents how a fuzzy multi-criteria decision making theory has been used for evaluating personalised software. More specifically, the fuzzy simple additive weighting theory has been used for the evaluation of a Geographical In-formation System. The Geographical Information System has the ability to process information about its users in order to adapt its interaction to each user dynamically. The proposed system has been evaluated in comparison to a standard GIS using linguistic terms. These terms were further translated to fuzzy numbers in order to calculate a crisp value for each GIS aggregating all the criteria taking into account. The comparison of the crisp value for the two GISs revealed that the personalised GIS is friendlier and more useful than the standard one. 1 Introduction Geographical Information Systems have been used lately extensively in many different domains, e.g. economical and regional development, environmental management, tourism sector etc. However, a main problem of such systems is that not many users have the specialised knowledge that is required to use them. Furthermore, the increasing complexity of the world and information overload makes it nearly impos-sible for a Geographical Information System (GIS) to be able to address the needs of large and diverse user populations. As a result, lately, a lot of research energy has been put on developing systems that are user friendly and can provide personalised interaction. Therefore, several AI methods and approaches such as Bayesian Networks, multi- criteria decision making and fuzzy logic have been used for personalising interaction in a GIS [1, 2, 3, 4]. In view of the above, a Geographical Information System called ADAPTIGIS (Adaptive GIS) was developed [5]. The particular system contains data Department of Ecology and the Environment, Technological Educational Institution of Ionian Islands, 2 Kalvou Sq., 29100 Zakynthos, Greece e-mail: kkabassi@teiion.gr E. Damiani et al. (Eds.): New Direct. in Intel. Interactive Multimedia Sys., SCI 226, pp. 275–284. springerlink.com c Springer-Verlag Berlin Heidelberg 2009