Titlebook: Information Fusion in Data Mining; Vicen? Torra Book 2003 Springer-Verlag Berlin Heidelberg 2003 Fusion Techniques.Information Extraction.

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Choquet integral and Sugeno integral as aggregation functionst integral or the Sugeno integral is presented. Selecting appropriate aggregation tool is fundamental for having a good modeling and thus studying their properties is a fundamental issue. It is also shown that the Choquet integral and Sugeno type integral are essential, from a purely mathematical vi

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Discovery of Temporal Knowledge in Medical Time-Series Databases using Moving Average, Multiscale Mad as temporal databases. The characteristics of these temporal databases are: (1) in-homogeneity of each record, (2) a large number of attributes in each record and (3) bias of the number of measurements for patients suffering from severe chrononic diseases. The characteristics of these temporal dat

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Modelling data by the Choquet integralmited to commensurate variables, as it is the case for example for multicriteria evaluation and multiattribute classification. A large part is devoted to the various methods of identifying parameters of the model, essentially quadratic programming and genetic algorithms. A new approach based on gene

MAG

An Algorithm Based on Alternative Projections for a Fuzzy Measure Identification Problemeasure because many coefficients must be determined. Thus, there have been many efforts to develop an efficient algorithm to identify a fuzzy measure from examples. The properties of the solution set of a fuzzy measure identification problem have also been studied in detail..In this chapter, we revi

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Ensembling Classification Systems by a Fuzzy Rule-Based Systemd systems are used. One is for classifying input patterns. We refer to this type of fuzzy rule-based systems as fuzzy rule-based classification systems. The other type of fuzzy rule-based systems determines which classification systems are used for the classification. This type of fuzzy rule-based s

GLIDE

Data Mining Using Granular Linguistic Summariesg the amount of information provided by a linguistic summary. The issue of conjecturing, how to decide on which summaries maybe informative, is discussed. Two approaches to help us focus on relevant summaries are discussed. The first, called the template method, makes use of available linguistic con