In this paper, a new soft computing group decision method based on the concept of compromise ratio is introduced for determining decision makers (DMs)' weights through the group decision process under uncertainty. In this method, preferences and judgments of the DMs or experts are expressed by linguistic terms for rating the industrial alternatives among selected criteria as well as the relativ...

In this paper we present a new and alternative approach for automatically classifying the email documents into a fuzzy hierarchical structure. We have used data mining and fuzzy logic techniques to solve this problem. The FISCRM model (based on the fuzzy synonymy interrelation and the fuzzy generality interrelation) is used to achieve a conceptual representation of the messages. A softclusterin...

Usability measure user preferences and performance of interaction with a system. Criteria for usability evaluation vary system to system depending upon the selection among wide variety of usability parameters. To enhance the acceptability of biometric based identification among large population usability evaluation of HumanBiometrics Sensor Interaction (HBSI) is highly important. This paper pro...

The Pridneprovsky Chemical Plant was one of the largest uranium processing enterprises in the former USSR, producing a huge amount of uranium residues. The Zapadnoe tailings site contains most of these residues. We propose a theoretical framework based on multicriteria decision analysis and fuzzy logic to analyze different remediation alternatives for the Zapadnoe tailings, which simultaneously...

For multiple attribute group decision-making problems, in which the attribute values are triangular intuitionistic fuzzy numbers and the attribute weight information is the linguistic evaluation, a multiple attribute group decision-making method is proposed. In the method, first, to transform the 2-tuple linguistic attribute weights to the real numbers. Then, to aggregate the experts’ preferenc...

In this paper, we propose a contribution for a new generation of route planners able to deal with complex and sophisticated preferences. Fuzzy set theory is advocated as a framework for modelling preferences. First, a typology of user preferences that make sense in the context of unimodal route planning is investigated. The bipolar nature of such preferences is discussed as well. The foundation...

Success of an e-business company is strongly associated with the relative quality of its website compared to that of its competitors. The purpose of this study is to propose a multi-attribute e-business website quality evaluation methodology based on a modified fuzzy TOPSIS approach. In the proposed methodology, weights of the evaluation criteria are generated by a fuzzy AHP procedure. In perfo...

In this review paper of ONDINE system which allows the loading and the querying of a data warehouse opened on the Web, guided by an Ontological and Terminological Resource (OTR). The data warehouse, composed of data tables extracted from Web documents, has been built to supplement already existing local data sources. First, we present the main steps of our semiautomatic method to annotate data ...

This paper deals with the group decision making problem, assuming that each individual defines his/her opinion through fuzzy binary preference relations, in parallel to the classical approach due to Prof. Arrow. In particular, it is postulated that the main reason for the discouraging impossibility theorems is neither in the domain of admissible preferences or in the concept of solution (Social...

Analyzing and predicting behavior of node can lead to more secure and more appropriate defense mechanism for attackers in the Mobile Adhoc Network. In this work, models for dynamic recommendation based on fuzzy clustering techniques, applicable to nodes that are currently participate in the transmission of Adhoc Network. The approach focuses on both aspects of MANET mining and behavioral mining...