Abstract
Abstract This work focused on principal component analysis and Choquet integral to structure a model of diagnose Parkinson disease. The proper value of Sugeno measure is vital to a diagnostic model. This paper aims at providing a method of using principal component analysis to obtain the sugeno measure. In this diagnostic model, there are two key elements. One is the goodness of fit that the degrees of evidential support for attribute. The other is the importance of attribute itself. The instances of Parkinson disease illuminate that the method is effective.
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