In this paper we propose clustering methods based on weighted quasiarithmetic means of T -transitive fuzzy relations. We first generate a T -transitive closure R from a proximity relation R based on a max-T composition and produce a T -transitive lower approximation or opening RT from the proximity relation R through the residuation operator. We then aggregate a new T -indistinguishability fuzz...

[6] A. Valls Mateu, CLUSDM: a multiple criteria decision making method for heterogeneous data sets, Polytechnic University of Catalonia. 2002. [8] B. Roy.Critères multiples et mod´elisation des pr´ef´erences : l'apport des relations de surclassement. Revue d'Economie Politique, 1974. [10] R. Bisdorff. Electre-like clustering from a pairwise fuzzy proximity index. methods for sorting and cluster...

Many real-world problems can be cast into a multiple-information aggregation framework where preliminary evaluations of separate information sources are combined to produce more accurate and reliable evaluation than would otherwise be the case. In this paper we describe a syllable-proximity evaluation problem in automatic speech recognition that fits well into this aggregation framework. A fuzz...

The contingencies contribute to overloading of network branches and unsatisfactory voltages, which may lead to problems of stability/voltage collapse. The most important task in security analysis is the problem of identifying the critical contingencies from a large list of credible contingencies and rank them according to their severity. This paper presents fuzzy approach for ranking the contin...

A fast method to compute a T-transitive opening of a proximity is given for any tnorm, spending O(n) time. Even though there is not a unique T-transitive approximation of a fuzzy relation, it is proved that the computed T-transitive opening is maximal.

Bousi∼Prolog is a fuzzy logic programming language which is an extension of the standard Prolog language. The Bousi∼Prolog operational semantics is an adaptation of the SLD resolution principle, where classical unification has been replaced by a fuzzy unification algorithm based on proximity relations. Unicorn is a programming environment for the Bousi∼Prolog language. This environment will pro...

This work presents the formal and practical design of agents skilled to help a user in achieving personalized navigation, by recommending related documents according to the user’s sensibility shown in similar-page searching mode. Our agent-based approach is based on the integration of different techniques and methodologies into a unique platform featuring: user profiling, fuzzy multi-sets, prox...

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 paper proposes an approach aimed at obviating empty answers for a family of conjunctive queries involving Boolean or fuzzy value constraints. Contrary to the approaches based on a relaxation of the predicates involved in the query, the principle suggested here consists in replacing the query by another one similar which has been processed previously and whose answer is known to be non-empt...

The main theme of this paper is Chinese character recognition using a fuzzy proximity measure. The paper discusses in brief the techniques used for processing hand-written Chinese characters using the dominant point algorithm. The procedure is used to extract a total of twelve character variables for final analysis. The analysis in this paper is based on the leave-one-out method of cross valida...