Study of Group Evaluation Method Having Induced Group Evaluation Rules
Abstract: This paper considers the evaluation rules as a structural arrangement of group evaluation problem, and reflects the rules as group network structure. We divide the evaluation rules into formal evaluation rules and structure evaluation rules, and we discuss structure rules only. Structure rules affect the group network structure formation and the group evaluation status. We, further, divide structure rules into normative evaluation rules and autonomic evaluation rules, in which normative evaluation rules correspond with complete regular network and autonomic evaluation rules correspond with complete random network. We discuss group evaluation rules that are composed of normative and autonomic rules. Experts determine whether the rules could be induced according to expect income of the rules in the process and the form of group evaluation rules. If the results improve, group evaluation rules should be optimized. The group could judge the condition according to group evaluation rules income collection.
文章引用: 侯 芳 , 于兆吉 , 杜金龙 (2014) 面向群组评价问题的组合评价规则构建。 管理科学与工程， 3， 45-56. doi: 10.12677/MSE.2014.32007
 Blau, P. M. (2008) 社会生活中的交换与权力. 商务印书馆, 北京.
 王众托 (2007) 元决策: 支持决策科学化与民主化的手段. 管理学报, 4, 127-134.
 Crozier, M., Friedberg, E. (2007) 行动者与系统. 上海人民出版社, 上海.
 Simmel, G. (2002) 社会学——关于社会化形式的研究. 华夏出版社, 北京.
 Mata, F., Martinez, L., Herrera-Viedma, E. (2009) An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context. IEEE Transactions on Fuzzy Systems, 2, 279-290
 Glaser, C., Heckmann, M. and Joublin, F. (2010) Combining auditory preprocessing and bayesian estimation for robust formant tracking. IEEE Transactions on Audio, Speech and Language Processing, 2, 224-236
 Fu, C. and Yang, S.L. (2012) An evidential reasoning based consensus model for multiple attribute group decision analysis problems with interval-valued group consensus requirements. European Journal of Operational Research, 1, 167-176.
 Garcia, J.M.T., Moral, M.J., Martínez, M.A., et al. (2012). A consensus model for group decision making problems with linguistic interval fuzzy preference relations. Expert Systems with Applications, 11, 10022-10030.
 Martinez, L. and Herrera, F. (2012) An Overview on the 2-Tuple Linguistic Model for Computing with Words in Decision Making: Extensions, Applications and Challenges. Information Sciences, 10, 1-18.
 Pasi, G. and Yager, R.R. (2011) A majority guided aggregation operator in group decision making. Springer, Berlin/Heidelberg.
 Patalano, A.L. and LeClair, Z. (2011) The influence of group decision making on indecisiveness-related decisional confidence. Judgment and Decision Making, 1, 163-175.
 Tavana, M., Khalili-Damghani, K. and Abtahi, A. (2013) A hybrid fuzzy group decision support framework for advanced- technology prioritization at NASA. Expert Systems with Applications, 2, 480-491.
 Ventresca, M. and Aleman, D. (2013) Evaluation of strategies to mitigate contagion spread using social network characteristics. Social network, 35, 75-88.
 Gong, Z.W., Forrest, J., Zhao, Y., et al. (2012) The optimal group consensus deviation measure for multiplicative preference relations. Expert Systems with Applications, 14, 11548-11555
 Li, Z.Q., Yu F.R. and Huang M.Y. (2010) A distributed consensus-based cooperative spec-trum-sensing scheme in cognitive radios. IEEE Transactions on Vehicular Technology, 1, 383-393.
 Perez, I.J., Cabrerizo, F.J., Alonso, S., et al. (2013). A new consensus model for group decision making problems with non-homogeneous experts. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2, 2168-2216.
 Perez, I.J., Wikstrom, R., Meaei, J., et al. (2013) A new consensus model for group decision making using fuzzy ontology. Soft Compute, 17, 1617-1627.
 Denis, M. (2013) Patience in group decision-making with emotional agents. Trends in Practical Applications of Agents and Multiagent Systems, 221, 163-170.
 Keeney, R.L. (2013) Foundations for group decision analysis. Decision Analysis, 2, 103-120.
 Pratt, J.W., Raiffa, H. and Schlaifer, R. (1964) The foundations of decision under uncertainty: An elementary exposition. American Statistical Association, 306, 353-375.
 Keeney, R.L. and Nau, R. (2011) A theorem for Bayesian group decisions. Risk uncertainty, 1, 1-17.
 Haesanyi, J.C. (1955) Cardinal welfare, individualistic ethics, and interpersonal comparisons of utility. Po-litical Economy, 4, 309-321.
 Mongin, P. (1998) The paradox of the Bayesian experts and state-dependent utility theory. Journal of Mathematical Economics, 23, 331-361.
 Chanbers, C.P. and Hayashi, T. (2006) Preference ag-gregation under uncertainty: Savage vs. Pareto. Games and Economic Behavior, 2, 430-440.