Applied study of method to presume decision class by variable precision rough sets model: a case study of how to decide the design concept of a digital camera
by Akira Sekiguchi; Katsuo Inoue; Tomoko Kashima
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 4, No. 3, 2012

Abstract: It has been shown from case studies that the method of presuming the decision class is important for extracting the features of a product design. The method we used is the variable precision rough set model proposed by Ziarko, which can deal with the contradiction between data. Applying the idea of a contradiction between data to the contradiction of the evaluations between many subjects, we propose a new approach of presuming the decision class by the variable precision rough set model. In addition, we propose a technique, called the decision class synthesis method, to clarify the design concept of a product. We verified the validity of this proposed technique through the case study of a digital camera.

Online publication date: Fri, 16-Nov-2012

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