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《第30届中国控制与决策会议论文集(1)》2018年
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A New Analysis Method for Parameters Retrieving in Classifier Based on Choquet Integral

Rong Yang  Denggui Wang  
【摘要】:Choquet integral is a powerful aggregation tool in information fusion and classification.It is established with respect to signed fuzzy measure.The nonadditivity of the signed fuzzy measure provides an effective representation to describe the interaction among contributions from the predictive attributes to the objective attributes.Currently,the values of the signed fuzzy measure in most classifiers based on Choquet integral are either preset subjectively by experience,or retrieved by global optimization methods which are time-consuming.In this paper,a new discriminant analysis algorithm to retrieve the values of signed fuzzy measure in classification models based on Choquet integral is proposed via Fisher's linear discriminant.It is the first time to derive the values of the signed fuzzy measure directly in an analytic form.Performance validation on synthetics and benchmark data sets are conducted to reveal the feasibility and effectiveness of the proposed method.

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