Abstract
The paper presents a framework for integrating experts’ opinions from the view of systematic optimization, considering factors of consistency or harmony and reliability of all experts’ opinions. The characteristics of consistence of experts’ opinions are defined based on statistics. The reliability function of expert’s opinion is designed and the measurement of the reliability of integration result of all experts’ opinions was then conducted. A non-liner programming model is set up to get the optimal scheme to correspond to the different experts’ opinions that consider systematically influences of the consistency, harmony and reliabilities at the same time. The independence of each expert’s opinion were not only kept but also, well preserved.
Supported by NSFC of China (code:70271024) and soft-science funds of shaanxi province (code:2003KR67).
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References
Delphi method (10.9.2001), http://www.book888.com.cn/study/means/02/02004.htm
Yang, L., Xi, Y.: The study of probability aggregation in rational group decision. Theory and Practice of System Engineering 4, 90–94 (1998)
Huang, D., Hu, Y.: Group decision and its characteristics. Chinese Journal of decision reference 4, 44–46 (1997)
Lootsma, F.A.: Scale sensitivity in the multiplicative AHP and SMART. Journal of multi-criteria decision analysis 2, 87–110 (1993)
Li, H., Fan, Z.: The integrated method of two different bias information in group decision. Transactions of Northeast University 21(3), 336–338 (2000)
Bordly, R.F.: A Multiplicative Formula for Aggregation Probability Estimates. Management Science 28(10) (1982)
Chiclana, F., et al.: Integrating three representation models in fuzzy multipurpose decision-making based on fuzzy preference relation. Fuzzy sets and systems 97, 33–48 (1998)
Kacprzyk, J.: Supporting consensus reaching under fuzziness via ordered weighted averaging (OWA) operators. Soft Computing in Intelligent Systems and Information Processing, 453–458 (1996)
Chi, S.C., Benjamin, C.O.: A GDSS for locating manufacturing facilities. In: 6th industrial engineering research conference proceedings, pp. 169–174 (1997)
Huang, D., Hu, Y.: Research of credibility in GDSS. Journal of Kunming University of Science & Technology, 97 24(3), 1–4 (1997)
Wang, Y.: The algorithm of optimal transformation matrix in group judgment and weighted vector. Theory and Practice of System Engineering 4, 70–74 (1991)
Zhou, G.: Probability and Statistics. Higher Education Publisher (1984)
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© 2004 Springer-Verlag Berlin Heidelberg
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Tian, J., Cheng, S., Wang, K., Wang, Y. (2004). An Integrating Model of Experts’ Opinions. In: Shi, Y., Xu, W., Chen, Z. (eds) Data Mining and Knowledge Management. CASDMKM 2004. Lecture Notes in Computer Science(), vol 3327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30537-8_22
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DOI: https://doi.org/10.1007/978-3-540-30537-8_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23987-1
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