E-Government is becoming more attentive towards providing personalized services to citizens so that they can benefit from better services with less time and effort. To develop citizen-centered services, a fundamental activity consists in mining needs and preferences of users by identifying homogeneous groups of users, also known as user segments, sharing similar characteristics. Since the same user often has characteristics shared by several segments, in this work we propose an approach based on fuzzy clustering for inferring user segments that could be properly exploited to offer personalized services that better satisfy user needs and their expectations. User segments are inferred starting from data, gathered by questionnaires, which essentially describe demographic characteristics of users. For each derived segment a user profile is defined which summarizes characteristics shared by users belonging to that segment. Results obtained on a case study are reported in the last part of the paper
