Title: 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
Authors: Akira Sekiguchi; Katsuo Inoue; Tomoko Kashima
Addresses: Department of Communication and Psychology, Hiroshima International University, 555-36 Gakuendai, Higashi-Hiroshima City, Hiroshima Prefecture, Japan. ' Department of Kansei Design, Hiroshima International University, 555-36 Gakuendai, Higashi-Hiroshima City, Hiroshima Prefecture, Japan. ' Department of Information and Systems Engineering, Kinki University, 1 Takaya Umenobe, Higashi-Hiroshima City, Hiroshima Prefecture, Japan
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.
Keywords: variable precision rough sets; product design; design evaluation; decision class; design concepts; digital cameras; camera design; feature extraction.
International Journal of Reasoning-based Intelligent Systems, 2012 Vol.4 No.3, pp.140 - 150
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 16 Nov 2012 *