[1] Zadeh L A. Fuzzy sets[J]. Information and Computation, 1965, 8(3): 338-353. [2] Atanassov K T. Intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1986, 20(1): 87-96. [3] Atanassov K T.Operators over interval-valued intuitionistic fuzzy sets[J]. Fuzzy Sets and Systems, 1994, 64(2): 159-174. [4] 王坚强,张忠.基于直觉模糊数的信息不完全的多准则规划方法[J].控制与决策,2008,23(10):1145-1148. [5] 王坚强,李婧婧.多粒度直觉二元语义的多准则群决策方法[J].科技信息,2009,33: 8-9. [6] Liu P D, Jin Fang. Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making[J]. Information Sciences, 2012, 205(1): 58-71. [7] Yager R R, Abbasov A M. Pythagorean membership grades, complex numbers, and decision making[J]. International Journal of Intelligent Systems, 2013, 28(5): 436-452. [8] Yager R R. Pythagorean fuzzy subsets[J]. In: Proc Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, Canada; 2013. 57-61. [9] Yager R R. Pythagorean membership grades in multicriteria decision making[J]. Fuzzy Systems IEEE Transactions on, 2014, 22(4): 958-965. [10] Gou X J, Xu Z S, Ren P J. The properties of continuous pythagorean fuzzy information[J]. International Journal of Intelligent Systems, 2015. 1-24. [11] Zhang X L. Multicriteria pythagorean fuzzy decision analysis: a hierarchica QUALIFLEX approach with the closeness index-based ranking methods[J]. Information Sciences, 2016, 330: 104-124. [12] Zhang X L. A novel approach based on similarity measure for pythagorean fuzzy multiple criteria group decision making[J]. International Journal of Intelligent Systems, 2015, 31(6): 593-611. [13] Zeng S, Chen J, Li X. A hybrid method for pythagorean fuzzy multiple-criteria decision making[J]. International Journal of Information Technology & Decision Making, 2015, 15(2): 403-422. [14] 彭新东,杨勇.基于Pythagorean模糊语言集多属性群决策方法[J].计算机工程与应用,2015.1-6. [15] Beliakov G Pradera A, Calvo T. Aggregation functions: a guide for practitioners, springer, heidelberg, berlin, new york,2007, 12: 139-141. [16] Lin R, Zhao X, Wang H, et al. Hesitant fuzzy Hamacher aggregation operators and their application to multiple attribute decision making[J]. Journal of Intelligent & Fuzzy Systems, 2014, 27(1):49-63. [17] Huang J Y. Intuitionistic fuzzy Hamacher aggregation operators and their application to multiple attribute decision making[J]. Journal of Intelligent & Fuzzy Systems, 2014, 27(1):505-513. [18] Zhang Z M. Several new interval-valued intuitionistic fuzzy hamacher hybrid operators and their application to multi-criteria group decision making[J]. International Journal of Fuzzy Systems, 2015, 18(5): 1-20. [19] Ju Y B, Zhang W K, Yang S H. Some dual hesitant fuzzy hamacher aggregation operators and their applications to multiple attribute decision making[J]. Journal of Intelligent & Fuzzy Systems, 2014, 27(5): 2481-2495. [20] Liu P D, Chu Y C, Li Y W, Chen Y B. Some generalized neutrosophic number hamacher aggregation operators and their application to group decision making[J]. International Journal of Fuzzy Systems, 2014, 16(2): 242-255. [21] Hamacher H, Hamacher H. Ber logische verknüpfungen unscharfer aussagen und deren zugehrige bewertungs funktionen[J]. 1975, 3: 276-288. [22] Ju Y B and Yang S H. Approaches for multi-attribute group decision making based on intuitionistic trapezoid fuzzy linguistic power aggregation operators[J]. Applied Mathematics & Information Sciences, 2014, 27(2): 987-1000. |