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XXI SIGEF Congress

Volume VIII, Number 1. May 2003

An overview of techniques for genetic evolution of fuzzy systems

J. Lambert, A. Kandel. University of South FloridaM.

Schneider. Netanya Academic College

Genetic algorithms have recently gained notoriety as search engines of remarkable power, successfully search-ing, in reasonably short times, spaces completely intractable to most traditio-nal methods. The application of the genetic algorithm to the difficult problem of fuzzy system optimization has revealed that they are capable of refining nearly every aspect…
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A fuzzy decision aiding method for the assessment of corporate bankruptcy

N. Matsatsinis, K. Kosmidou, M. Doumpos, C. Zopounidis. Technical University of Crete

In many real world problems it is often difficult to find dependencies between the variables of a process or more general of a system, dependencies which can be used for controlling a plant, forecasting a value or classifying a group of objects into pre-defined classes. Since in many cases, analytic…
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Customer loyalty in services: an approximation by means of fuzzy logic

Dolors Setó, M.Glòria Barberà. Universidad Rovira i Virgili

Due to the slow growth and strong concurrence that present many markets, firms set loyalty creation as their strategic goal. Despite the importance of loyalty, there are scarce academic contributions on this issue. Therefore, the aim of this paper is to analyze the key factors that lead customers to become…
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Applying the concept of experton to fuzzy mental workload modeling

R. Nait-Said. University of Batna

H. Loukia. University of Constantine

This paper presents a new approach in fuzzy mental workload modeling by using experton concept. The mental workload is represented by a Load-Experton (LE), a multidimensional aggregating tool, calculated with subjects' judgments as a confidence intervals. Compared to averaging operator, LE has the advantage to keep information disorder. So, this…
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Choosing a ranking of alternatives in a two-stage group decision procedure with individual linguistic assessments

José Luis García-Lapresta, Bonifacio Llamazares. Universidad de Valladolid

In this paper we provide a two-stage group decision-making procedure for ranking a great number of alternatives. Since individuals usually have incon-sistencies in the pairwise comparison of alternatives, we allow agents to assess alternatives one by one using linguistic labels. This information is processed by using aggregation functions, each one…
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