(Chen C F, Zhu C X, Huang X J. Rank preference optimal ordering method in the multi-attribute decision making[J]. Systems Engineering-Theory & Practice, 2012, 32(7): 1506-1516.)
[4]
Gang X, Zhang J L. Variable precision rough set for group decision-making: An application[J]. Int J of Approximate Reasoning, 2008, 49(2): 331-343.
(Zhang L, Zhou D Q. Multi-attribute decision making with variable weight and relationship based on?\lambda fuzzy measures[J]. Control and Decision, 2008, 23(3): 267-272.)
(Chen C, Sha J C, Liu J X, et al. Evaluation method of groupped variable weight sgnthesizing and its application[J]. J of Systems & Management, 2007, 16(3): 341-344.)
(Lan R, Fan J L. TOPSIS decision-making method on three parameters interval-valued fuzzy sets[J]. Systems Engineering-Theory & Practice, 2009, 29(2): 129-136.)
[13]
Yue Z L. Extension of TOPSIS to determine weight of decision maker for group decision making problems with uncertain information[J]. Expert Systems with Applications, 2012, 39(7): 6343-6350.
[14]
Lin Y, Lee P, Chang T, et al. Multi-attribute group decision making model under the condition of uncertain information[J]. Automation in Construction, 2008, 17(6): 792-797.
[15]
Slim B K, Jean-Marc M. A distance-based collective weak ordering[J]. Group Decision and Negotiation, 2001, 10(4): 317-329.
[16]
Tomas G, Thomas H. Nonessential objectives within network approaches for MCDM[J]. European J of Operational Research, 2006, 168(2):584-592.
[17]
Wei G W. Grey relational analysis model for dynamic hybrid multiple attribute decision making[J]. Knowledge-based Systems, 2011, 24(5): 672-679.
[18]
Lin Y H, Lee P C, Ting H I. Dynamic multi-attribute decision making model with grey number evaluations[J]. Expert Systems with Applications, 2008, 35(4): 1638-1644.
[19]
Xu Z S. On multi-period multi-attribute decision making[J]. Knowledge-based Systems, 2008, 21(2): 164-171.
(Huang W Q, Yao S, Guo Y J. Dynamic comprehensive evaluation model of incomplete index preference information and its application[J]. J of Northeastern University: Natural Science, 2011, 32(6): 891-894.)
(Guo Y J, Tang H Y, Qu D G. Dynamic comprehensive evaluation method and its application based on minimal variability[J]. Systems Engineering and Electronics, 2010, 32(6): 1225-1228.)
[24]
Xu Z S, Yager R R. Dynamic intuitionistic fuzzy multi-attribute decision making[J]. Int J of Approximate Reasoning, 2008, 48(1): 246-262.