Capturing the characteristics and preferences of Web users into user profiles is a fundamental task to perform in order to implement forms of personalization on a Web site. In this paper, we present a relational fuzzy clustering approach to extract significant user profiles from session data derived from log files. In particular, a modified version of the CARD clustering algorithm is proposed i...

In e-commerce applications, the magnitude of products and the diversity of venders cause confusion and difficulty for the common consumer to choose the right product from a trustworthy vender. Although people have recognized the importance of feedback and reputation for the trustworthiness of individual venders and products, they still have difficulty when they have to make a shopping decision ...

Interval fuzzy preference relations can be useful to express decision makers' preferences in group decision-making problems. Usually, we apply a selection process and a consensus process to solve a group decision situation. In this paper, we present a consensus model for group decisionmaking problems with interval fuzzy preference relations. This model is based on two consensus criteria, a cons...

This work extends fuzzy inference-grams (fingrams) to fuzzy association rules (FAR), yielding FARFingrams. Their analysis pays attention to interpretability issues. An important open problem in association rule mining is the huge number of frequent itemsets and interesting rules to uncover and communicate to the user. FAR-Fingrams address such problem through visual analysis. They ease the sele...

In this thesis we consider reasoning with preferences in a number of different AI problems. We start with a specific area as, temporal reasoning, for which there is specialized reasoning machinery. In particular, we consider quantitative temporal constraints and we add preferences in such a context. We discuss the complexity for solving temporal constraint satisfaction problems with preferences...

In this paper we have analyzed the accomplishment of several consistency conditions in a real decision case. A group of students showed their intensities of preference among the alternatives by means of linguistic labels represented by real numbers. The absolute and relative fulfillments of some kinds of fuzzy transitivity properties have been studied for individual and collective preferences. ...

In this paper, we propose an approach to query a database where the user preferences can be bipolar (i.e., express both constraints and wishes about the desired result) and the data stored in the database can be uncertain. Query results are then completely ordered with respect to these bipolar preferences, giving priority to constraints over wishes. Furthermore, we consider user preferences exp...

In the paper a qualitative approach to the problem of aggregation of information is discussed. The method is based on the notion of fuzzy attribute model of the aggregation problem in which information is represented in the form of fuzzy constraints on the values of attributes. The aggregate is built by carrying out logical inference on the knowledge base which represents the decision maker pre...

We propose a general scheme of collective choice rule that covers a number of well-known rules. Our point of departure is, first, the set of fuzzy preference relations, and second, the linguistic aggregation rule proposed by Kacprzyk [2-4]. We reconsider this rule on a more abstract level and use the OWA operators instead of Zadeh’s fuzzy linguistic quantifiers. All collective choice rules from...

A decision is often made in a group and decision makers often utilize fuzzy judgments in attempting to reach an optimal solution. In order to deal with the fuzziness of decision makers' judgments in solutions, this paper proposes a fuzzy group decision-making method for multi-objective decision problems. The method allows group members to express their fuzzy preferences for decision objectives,...