Combining Support Vector Machines by Means of Fuzzy Aggregation
نویسندگان
چکیده
The paper deals with a recently proposed approach to combining classifiers by means of fuzzy aggregation. The approach relies on the quasi-Sugeno integral and on the t-conorm integral as a generalization of the Choquet and Sugeno integral, which have been used for combining classifiers so far. New theoretical development is presented, in particular a proposition concerning the λ measures used in the quasi-Sugeno integral, and the approach is elaborated specifically for support vector machines. Finally, experience is reported that was gained when using the approach to combine support vector machines in a neurophysiologic application. Key–Words: Support vector machines, Fuzzy aggregation, t-conorm integral, Quasi-Sugeno integral
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