Extended Methods to Dynamically Estimate Emphasizing Points for Group Decision-making and their Evaluation

Author:

Ohmoto Yoshimasa,Kataoka Misao,Nishida Toyoaki

Publisher

Elsevier BV

Subject

General Medicine

Reference7 articles.

1. Aydogan, R., & Yolum, P. Learning consumer preferences using semanticsimilarity. In Aamas ‘07: Proceedings of the 6th international joint conference on autonomous agents and multiagent systems. New York, NY, USA: ACM.; 2007: 1-8.

2. B̂ızoi, M., Suduc, A., & Filip, F. Using collaborative platforms for decision support. In Proceedings of the 17th international conference on control systems and computer science, cscs-17, romania;2009, 2:349-352.

3. Kitamura, M., Shimohata, S., Sukehiro, T., Ikeno, A., Sakamoto, M., Orihara, I., et al. Design and development of dialogue system for laddering search service. IEICE technical report. Natural language understanding and models of communication.;2008, 108: Tech. Rep.

4. Ohmoto, Y., Kataoka, M., Miyake, T., & Nishida, T. A method to dynamically estimate emphasizing points and degree by using verbal and nonverbal information and physiological indices. In The 2011 ieee international conference on granular computing; 2011: 508-514. .

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