Fuzzy Simple Additive Weighting for Evaluating a Personalised Geographical Information System
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 Information 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.