Abstract
Two aspects of group decision-making (GDM) have received much attention since its appearance, one is the organizing process of GDM which emphasizes in particular on behavioral science and qualitative analysis, and the other is the weight allocation and meta-synthesis of group preference focusing on the quantificational computation. Despite the abundant researches, the existing solutions do not take into account the dynamic change of group members’ decision-making preference in the GDM process. This paper considers the preference change in GDM as a dynamical procedure, researches into the important hidden pattern in GDM process, and puts forward a GDM meta-synthesis method based on Markov Chain to mine the hidden information with both qualitative analysis and quantificational computations.
This research is supported by NSFC(70671066).
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Shen, H., Zhao, J., Wang, H. (2007). A Hidden Pattern Discovery and Meta-synthesis of Preference Adjustment in Group Decision-Making. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4490. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72590-9_7
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DOI: https://doi.org/10.1007/978-3-540-72590-9_7
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