[1] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20(1) (1986), 87-96.
[2] K. Atanassov and G. Gargov, Interval-valued intuitionistic fuzzy sets, Fuzzy Sets and
Systems, 31(3) (1989), 343-349.
[3] C. Carlsson and R. Fullr, On possibilistic mean value and deviation of fuzzy numbers,
Fuzzy Sets and Systems, 122 (2001), 315-326.
[4] R. Fullr and P. Majlender, On weighted possibilistic mean and variance of fuzzy numbers,
Fuzzy Sets and Systems, 136 (2003), 363-374.
[5] D. F. Li, A note on using intuitionistic fuzzy sets for fault-tree analysis on printed circuit
board assembly, Microelectronics Reliability, 48(10) (2008), 17-41.
[6] D. F. Li, A ratio ranking method of triangular intuitionistic fuzzy numbers and its appli-
cation to MADM problems, Computers and Mathematics with Applications, 60 (2010),
1557-1570.
[7] D. F. Li, J. X. Nan and M. J. Zhang, A ranking method of triangular intuitionistic fuzzy
numbers and application to decision making, International Journal of Computational In-
telligence Systems, 3(5) (2010), 522-530.
[8] B. Q. Li and W. He, Intuitionistic fuzzy PRI-AND and PRI-OR aggregation operators,
Information Fusion, 14 (2013), 450-459.
[9] R. Mansini, M. W. P. Savelsbergh and B. Tocchella, The supplier selection problem with
quantity discounts and truckload shipping, Omega, 40(4) (2012), 445-455.
[10] J. X. Nan, D. F. Li and M. J. Zhang, A lexicographic method for matrix games with
payo s of triangular intuitionistic fuzzy numbers, International Journal of Computational
Intelligence Systems, 3(3) (2010), 280-289.
[11] M. H. Shu, C. H. Cheng and J. R. Chang, Using intuitionistic fuzzy sets for fault tree
analysis on printed circuit board assembly, Microelectronics Reliability, 46(12) (2006),
2139-2148.
[12] S. P. Wan, D. F. Li and Z. F. Rui, Possibility mean, variance and covariance of triangular
intuitionistic fuzzy numbers, Journal of Intelligent and Fuzzy Systems, 24(4) (2013), 847-
858.
[13] S. P. Wan and D. F. Li, Possibility mean and variance based method for multi-attribute
decision making with triangular intuitionistic fuzzy numbers, Journal of Intelligent and
Fuzzy Systems, 24 (2013), 743-754.
[14] S. P. Wan, Q. Y. Wang and J. Y. Dong, The extended VIKOR method for multi-attribute
group decision making with triangular intuitionistic fuzzy numbers, Knowledge-Based Sys-
tems, 52 (2013), 65-77.
[15] S. P. Wan and J. Y. Dong, Possibility method for triangular intuitionistic fuzzy multi-
attribute group decision making with incomplete weight information, International Journal
of Computational Intelligence Systems, 7(1) (2014), 65-79.
[16] S. P. Wan and D. F. Li. Fuzzy LINMAP approach to heterogeneous MADM considering
comparisons of alternatives with hesitation degrees, Omega, 41(6)(2013), 925-940.
[17] S. P. Wan and D. F. Li. Atanassovs intuitionistic fuzzy programming method for hetero-
geneous multiattribute group decision making with Atanassovs intuitionistic fuzzy truth
degrees, IEEE Transaction on Fuzzy Systems, 22(2)(2014), 300-312.
[18] S. P. Wan and J. Y. Dong, Interval-valued intuitionistic fuzzy mathematical programming
method for hybrid multi-criteria group decision making with interval-valued intuitionistic
fuzzy truth degree, Information Fusion, 26 (2015), 49-65.
[19] S. P. Wan and J. Y. Dong, A possibility degree method for interval-valued intuitionistic
fuzzy multi-attribute group decision making, Journal of Computer and System Sciences,
80(1) (2014), 237-256.
[20] S. P. Wan and J. Y. Dong, Method of trapezoidal intuitionistic fuzzy number for multi-
attribute group decision, Control and Decision, 25(5) (2010), 773-776.
[21] S. P. Wan, Power average operators of trapezoidal intuitionistic fuzzy numbers and appli-
cation to multi-attribute group decision making, Applied Mathematical Modelling, 37(6)
(2013), 4112-4126.
[22] S. P. Wan and J. Y. Dong, Power geometric operators of trapezoidal intuitionistic fuzzy
numbers and application to multi-attribute group decision making, Applied Soft Comput-
ing, 29 (2015), 153-168.
[23] S. P.Wan, Method based on fractional programming for interval-valued intuitionistic trape-
zoidal fuzzy number multi-attribute decision making, Control and Decision, 27 (3) (2012),
455-458.
[24] S. P. Wan, Multi-attribute decision making method based on interval-valued trapezoidal
intuitionistic fuzzy number, Control and Decision, 6 (2011), 857-866.
[25] J. Q. Wang, Overview on fuzzy multi-criteria decision-making approach, Control and De-
cision, 23(6) (2008), 601-607.
[26] J. Q. Wang and Z. Zhang, Aggregation operators on intuitionistic trapezoidal fuzzy num-
ber and its application to multi-criteria decision making problems, Journal of Systems
Engineering and Electronics, 20(2) (2009), 321-326.
[27] J. Q.Wang, R. R. Nie, H. Y. Zhang and X. H. Chen, New operators on triangular intuition-
istic fuzzy numbers and their applications in system fault analysis, Information Sciences,
251 (2013), 79-95.
[28] H. M.Wang, Y. J. Xu and J. M. Merig, Prioritized aggregation for non-homogeneous group
decision making in water resource management, Economic Computation and Economic
Cybernetics Studies and Research, 48(1) (2014), 247-258.
[29] G. W. Wei, Some arithmetic aggregation operators with trapezoidal intuitionistic fuzzy
numbers and their application to group decision making, Journal of Computers, 3(2010),
345-351.
[30] G. W. Wei, Hesitant fuzzy prioritized operators and their application to multiple attribute
decision making, Knowledge-Based Systems, 31(7) (2012), 176-182.
[31] G. W. Wei and J. M. Merig, Methods for strategic decision making problems with immedi-
ate probabilities in intuitionistic fuzzy setting, Scientia Iranica, 19(6) (2012), 1936-1946.
[32] J. Wu and Q. W. Cao, Some families of geometric aggregation operators with intuitionistic
trapezoidal fuzzy numbers, Applied mathematical modeling, 37 (1/2) (2013), 318-327.
[33] J. Wu and Y. J. Liu, An approach for multiple attribute group decision making problems
with interval-valued intuitionistic trapezoidal fuzzy numbers, Computers and Industrial
Engineering, 66 (2013), 311-324.
[34] Y. J. Xu, T. Sun and D. F. Li, Intuitionistic fuzzy Prioritized OWA aggregation operator
and its application to multi-criteria decision making, Control and Decision, 26(1) (2011),
129-132.
[35] R. R. Yager, Modeling prioritized multi-criteria decision making, IEEE Transactions on
Systems, Man and Cybernetics, Part B. Cybernetics, 34 (2004), 2396-2404.
[36] R. R. Yager, Prioritized aggregation operators, International Journal of Approximate Rea-
soning, 48 (2008), 263-274.
[37] R. R. Yager, Prioritized OWA aggregation, Fuzzy Optimization and Decision Making, 8
(2009), 245-262.
[38] H. B. Yan, V. N. Huynh, Y. Nakamori and T. Murai, On prioritized weighted aggregation
in multi-criteria decision making, Expert Systems with Applications, 38 (2011), 812-823.
[39] X. H. Yu and Z. S. Xu, Prioritized intuitionistic fuzzy aggregation operators, Information
Fusion, 14(1) (2013), 108-116.
[40] D. Yu, J. M. Merig and L. G. Zhou, Interval-valued multiplicative intuitionistic fuzzy
preference relations, International Journal of Fuzzy Systems, 15(4) (2013), 412-422.
[41] D. J. Yu, Intuitionistic fuzzy prioritized operators and their application in multi-criteria
group decision making, Technological and Economic Development of Economy, 19(1)
(2013), 1-21.
[42] D. J. Yu, Y. Y.Wu and T. Lu, Interval-valued intuitionistic fuzzy prioritized operators and
their application in group decision making, Knowledge-Based Systems, 30 (2012), 57-66.
[43] L. A. Zadeh, Fuzzy sets., Information and Control, 18 (1965), 338-353.
[44] X. Zhang, F. Jian and P. D. Liu, A grey relational projection method for multi-attribute
decision making based on intuitionistic trapezoidal fuzzy number, Applied Mathematical
Modelling, 37(5) (2013), 3467-3477.
)