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H. W. Hsiao and H. C. Tsai, “Applying a Hybrid Approach Based on Fuzzy Neural Network and Genetic Algorithm to Product Form Design,” International Journal of Industrial Ergonomics, Vol. 35, No. 5, 2005, pp. 411-428.

has been cited by the following article:

• TITLE: Prelude to Natphoric Kansei Engineering Framework

  AUTHORS: Anitawati Mohd Lokman, Mohammad Bakri Che Haron, Siti Zaleha Zainal Abidin, Noor Elaiza Abd Khalid, Shigekazu Ishihara

  KEYWORDS: Kansei Engineering; Ant Colony Clustering; Natphoric Algorithm; Computer-Aided KE

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.12, December 20, 2013

  ABSTRACT: Consumers’ emotion has become imperative in product design. In affective design field, Kansei Engineering (KE) has been recognized as a technology that enables discovery of consumer’s emotion and formulation of guide to design products that win consumers in the competitive market. Albeit powerful technology, there is no rule of thumb in its analysis and interpretation process. KE expertise is required to determine sets of related Kansei and the significant concept of emotion. Many research endeavours become handicapped with the limited number of available and accessible KE experts. This work is performed to simulate the role of experts with the use of Natphoric algorithm and thus provides solution to the complexity and flexibility in KE. The algorithm is designed to learn the process by implementing training datasets taken from previous KE research works. A framework for automated KE is then designed to realize the development of automated KE system.