(Wei C P, Liang X, Zhang Y Z. A comparative analysis and improvement of entropy measure for intuitionistic fuzzy sets[J]. J of Systems Science and Mathematical Sciences, 2012, 32(11): 1437-1448.)
[3]
Vlachos I K, Sergiadis G D. The role of entropy in intuitionistic fuzzy contrast enhancement[C]. Foundations of Fuzzy Logic and Soft Computing. Berlin: Springer, 2007: 104-113.
[4]
Szmidt E, Kacprzyk J. Entropy for intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 2001, 118(3): 467-477.
[5]
Xia M, Xu Z. Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment[J]. Information Fusion, 2012, 13(1): 31-47.
[6]
HungWL, YangMS. Fuzzy entropy on intuitionistic fuzzy sets[J]. Int J of Intelligent Systems, 2006, 21(4): 443-451.
[7]
Mao J, Yao D, Wang C. A novel cross-entropy and entropy measures of IFSs and their applications[J]. Knowledge-Based Systems, 2013, 48: 37-45.
[8]
Yager R R. The power average operator[J]. IEEE Trans on Systems, Man and Cybernetics, Part A: Systems and Humans, 2001, 31(6): 724-731.
(Wan S P. Method based on power average operator for interval multi-attribute decision-making[J]. Control and Decision, 2009, 24(11): 1673-1676.)
[11]
Xu Z, Yager R R. Power-geometric operators and their use in group decision making[J]. IEEE Trans on Fuzzy Systems, 2010, 18(1): 94-105.
[12]
Xu Z. Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators[J]. Knowledge-Based Systems, 2011, 24(6): 749-760.
[13]
Xu Z S, Yager R R. Some geometric aggregation operators based on intuitionistic fuzzy sets[J]. Int J of General Systems, 2006, 35(4): 417-433.
[14]
Xu Z S. Intuitionistic fuzzy aggregation operators[J]. IEEE Trans on Fuzzy Systems, 2007, 15(6): 1179-1187.
[15]
Chen S M, Tan J M. Handing multicriteria fuzzy decision-making problems based on vague set theory[J]. Fuzzy Sets and Systems, 1996, 67(2): 221-236.
[16]
Hong D H, Choi C H. Multicriteria fuzzy decision making problems based on vague set theory[J]. Fuzzy Sets and Systems, 2000, 114(1): 103-113.
[17]
Xu Z S. Models for multiple attribute decision making with intuitionistic fuzzy information[J]. Int J of Uncertainty Fuzziness and Knowledge Based Systems, 2007, 15(3): 285-297.
(Wei C P, Gao Z H, Guo T T. An intuitionistic fuzzy entropy measure based on trigonometric function[J]. Control and Decision, 2012, 27(4): 571-574.)
[20]
Zhiming Zhang. Generalized Atanassov’s intuitionistic fuzzy power geometric operators and their application to multiple attribute group decision making[J]. Information Fusion, 2013, 14(4): 460-486.
[21]
Keeney L R. Foundations for group decision analysis[J]. Decision Analysis, 2013, 10(2): 103-120.
[22]
Lahdelma R, Salminen P. SMAA-2: Stochastic multicriteria acceptability analysis for group decision making[J]. Operations Research, 2001, 49(3): 444-454.
[23]
Zhang L, Li T, Xu X. Consensus model for multiple criteria group decision making under intuitionistic fuzzy environment[J]. Knowledge-Based Systems, 2014, 57: 127-135.
[24]
Herrera F, Herrera-Viedma E. A model of consensus in group decision making under linguistic assessments[J]. Fuzzy Sets and Systems, 1996, 78(1): 73-87.
[25]
Herrera F, Herrera-Viedma E, Verdegay J L. Direct approach processes in group decision making using linguistic OWA operators[J]. Fuzzy Sets and Systems, 1996, 79(2): 175-190.
[26]
Liu P, Yu X. 2-Dimension uncertain linguistic power generalized weighted aggregation operator and its application in multiple attribute group decision making[J]. Knowledge-Based Systems, 2014, 57: 69-80.
[27]
Perez I J, Cabrerizo F J, Alonso S, et al. A new consensus model for group decision making problems with non-homogeneous experts[J]. IEEE Trans on Systems, Man, and Cybernetics: Systems, 2014, 44(4): 494-498.
[28]
Dong Y, Zhang G, Hong W C, et al. Consensus models for AHP group decision making under row geometric mean prioritization method[J]. Decision Support Systems, 2010, 49(3): 281-289.
[29]
Xu Z. Induced uncertain linguistic OWA operators applied to group decision making[J]. Information Fusion, 2006, 7(2): 231-238.
[30]
Fan Z P, Liu Y, Feng B. A method for stochastic decision making based on pairwise comparisons of alternatives with random evaluations[J]. European J of Operational Research, 2010, 207(2): 906-915.
[31]
Fan Z P, Zhang X, Liu Y. A method for stochastic multiple attribute decision making based on concepts of ideal and anti-ideal points[J]. Applied Mathematics and Computation, 2013, 219(24): 11438-11450.
[32]
Fan Z P, Feng B. A multiple attributes decision making method using individual and collaborative attribute data in a fuzzy environment[J]. Information Sciences, 2009, 179(20): 3603-3618.
[33]
Wu Z, Xu J. A consistency and consensus based decision support model for group decision making with multiplicative preference relations[J]. Decision Support Systems, 2012, 52(3): 757-767.
[34]
Yue Z. A method for group decision-making based on determining weights of decision makers using TOPSIS[J]. Applied Mathematical Modelling, 2011, 35(4): 1926-1936.
[35]
Yue Z. Deriving decision maker’s weights based on distance measure for interval-valued intuitionistic fuzzy group decision making[J]. Expert Systems with Applications, 2011, 38(9): 11665-11670.
[36]
Zadeh L A. Probability measures of fuzzy events[J]. J of Mathematical Analysis and Applications, 1968, 23(2): 421-427.
[37]
Burillo P, Bustince H. Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets[J]. Fuzzy Sets and Systems, 1996, 78(3): 305-316.
[38]
De Luca A, Termini S. A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory[J]. Information and Control, 1972, 20(4): 301-312.
[39]
Zhou L, Chen H, Liu J. Generalized power aggregation operators and their applications in group decision making[J]. Computers & Industrial Engineering, 2012, 62(4): 989-999.
[40]
Zhang Z. Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making[J]. Information Sciences, 2013, 234: 150-181.
[41]
Atanassov K. Intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1986, 20(1): 87-96.