Abstract：Aiming at multiattribute and multi alternative large group decision making in which the attribute values are in the form of interval numbers, an interval clustering algorithm is proposed. The attribute values of alternatives are clustered to obtain the large group preference matrix of alternatives by the proposed algorithm. The weight vector of attributes is derived through integration of induced ordered weighted averaging (IOWA) operator. The result of alternative priority is given according to the overall evaluation values of all alternatives, thereby, the method of large group decision making is proposed. This method avoids the empirical selection of threshold value to cluster well and improves the credibility of decision making. The example analysis verifies that the method is both effective and practicable.
万树平. 一种具有区间数信息的多属性大群体决策方法[J]. 模式识别与人工智能, 2011, 24(3): 340-345.
WAN Shu-Ping. A Method for Multi Attribute Large Group Decision Making With Interval Number Information. , 2011, 24(3): 340-345.
2011, Vol. 24 
