Intuitionistic fuzzy variables: Concepts and applications in decision making
Tài liệu tham khảo
Abdullah, 2014, A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process, Expert Systems with Applications, 41, 3297, 10.1016/j.eswa.2013.11.028
Atanassov, 1986, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20, 87, 10.1016/S0165-0114(86)80034-3
Bai, 2014, Semideviations of reduced fuzzy variables—a possibility approach, Fuzzy Optimization and Decision Making, 13, 173, 10.1007/s10700-013-9175-8
Beliakov, 2011, On averaging operators for Atanassov’s intuitionistic fuzzy sets, Information Sciences, 181, 1116, 10.1016/j.ins.2010.11.024
Bustince, 2000, Construction of intuitionistic fuzzy relations with predetermined properties, Fuzzy Sets and Systems, 109, 379, 10.1016/S0165-0114(97)00381-3
Chen, 1992
Chen, 2015, IVIF-PROMETHEE outranking methods for multiple criteria decision analysis based on interval-valued intuitionistic fuzzy sets, Fuzzy Optimization and Decision Making, 14, 173, 10.1007/s10700-014-9195-z
De, 2000, Some operations on intuitionistic fuzzy sets, Fuzzy Sets and Systems, 114, 477, 10.1016/S0165-0114(98)00191-2
Gong, 2009, Goal programming approaches to obtain the priority vectors from the intuitionistic fuzzy preference relations, Computers & Industrial Engineering, 57, 1187, 10.1016/j.cie.2009.05.007
Hong, 2014, Blackwells theorem for fuzzy variables, Fuzzy Optimization and Decision Making, 13, 197, 10.1007/s10700-013-9173-x
Intepe, 2013, The selection of technology forecasting method using a multi-criteria interval-valued intuitionistic fuzzy group decision making approach, Computers & Industrial Engineering, 65, 277, 10.1016/j.cie.2013.03.002
Kahraman, 2007, Fuzzy multi-criteria evaluation of industrial robotic systems, Computers & Industrial Engineering, 52, 414, 10.1016/j.cie.2007.01.005
Kundu, 2014, Fixed charge transportation problem with type-2 fuzzy variables, Information Sciences, 255, 170, 10.1016/j.ins.2013.08.005
Li, 2008, Entropy of credibility distributions for fuzzy variables, IEEE Transactions on Fuzzy Systems, 16, 123, 10.1109/TFUZZ.2007.894975
Li, 2008, On distance between fuzzy variables, Journal of Intelligent & Fuzzy Systems, 19, 197
Liu, 2011
Liu, 2002, Expected value of fuzzy variable and fuzzy expected value models, IEEE Transactions on Fuzzy Systems, 10, 445, 10.1109/TFUZZ.2002.800692
Liu, 2015, An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making, European Journal of Operational Research, 245, 209, 10.1016/j.ejor.2015.02.025
Liu, 2012, Methods for aggregating intuitionistic uncertain linguistic variables and their application to group decision making, Information Sciences, 205, 58, 10.1016/j.ins.2012.04.014
Liu, 2014, A solid transportation problem with type-2 fuzzy variables, Applied Soft Computing, 24, 543, 10.1016/j.asoc.2014.08.005
Liu, 2010, Type-2 fuzzy variables and their arithmetic, Soft Computing, 14, 729, 10.1007/s00500-009-0461-x
Markowitz, 1959
Nahmias, 1978, Fuzzy variables, Fuzzy Sets and Systems, 1, 97, 10.1016/0165-0114(78)90011-8
Own, 2009, Switching between type-2 fuzzy sets and intuitionistic fuzzy sets—An application in medical diagnosis, Applied Intelligence, 31, 283, 10.1007/s10489-008-0126-y
Pei, 2013, Rational decision making models with incomplete weight information for production line assessment, Information Sciences, 222, 696, 10.1016/j.ins.2012.07.060
Pei, 2013, Simplification of fuzzy multiple attribute decision making in production line evaluation, Knowledge Based Systems, 47, 23, 10.1016/j.knosys.2013.03.010
Pei, 2012, A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets, Expert Systems with Applications, 39, 2560, 10.1016/j.eswa.2011.08.108
Peng, 2006, Ranking fuzzy variables in terms of credibility measure, 217
Peng, 2005, Fuzzy dominance based on credibility distributions, 295
Qin, 2011, Methods of critical value reduction for type-2 fuzzy variables and their applications, Journal of Computational and Applied Mathematics, 235, 1454, 10.1016/j.cam.2010.08.031
Szmidt, 2000, Distances between intuitionistic fuzzy sets, Fuzzy Sets and Systems, 114, 505, 10.1016/S0165-0114(98)00244-9
Szmidt, 2001, Entropy for intuitionistic fuzzy sets, Fuzzy Sets and Systems, 118, 467, 10.1016/S0165-0114(98)00402-3
Tan, 2015, Atanassov’s intuitionistic fuzzy Quasi-Choquet geometric operators and their applications to multicriteria decision making, Fuzzy Optimization and Decision Making, 14, 139, 10.1007/s10700-014-9196-y
Tang, 2009, Metric spaces of fuzzy variables, Computers & Industrial Engineering, 57, 1268, 10.1016/j.cie.2009.06.004
Wu, 2013, An approach for multiple attribute group decision making problems with interval-valued intuitionistic trapezoidal fuzzy numbers, Computers & Industrial Engineering, 66, 311, 10.1016/j.cie.2013.07.001
Xu, 2007, Intuitionistic fuzzy aggregation operators, IEEE Transactions on Fuzzy Systems, 15, 1179, 10.1109/TFUZZ.2006.890678
Xu, 2010, Recent advances in intuitionistic fuzzy information aggregation, Fuzzy Optimization and Decision Making, 9, 359, 10.1007/s10700-010-9090-1
Xu, 2008, An overview of distance and similarity measures of intuitionistic fuzzy sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16, 529, 10.1142/S0218488508005406
Xue, 2008, The expected value of a function of a fuzzy variable with a continuous membership function, Computers and Mathematics with Applications, 55, 1215, 10.1016/j.camwa.2007.04.042
Yang, 2014, Credibility-based rescheduling model in a double-track railway network- a fuzzy reliable optimization approach, Omega, 48, 75, 10.1016/j.omega.2013.11.004
Yao, 2010, A new fuzzy variable ranking method, System Engineering, 28, 106
Zadeh, 1965, Fuzzy sets, Information and Control, 8, 338, 10.1016/S0019-9958(65)90241-X
Zadeh, 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3, 10.1016/0165-0114(78)90029-5
Zainali, 2014, Intuitionistic fuzzy random variable and testing hypothesis about its variance, Soft Computing, 8, 1
Zeng, 2006, Expected value method for fuzzy multiple attribute decision making, Tsinghua Science and Technology, 11, 16, 10.1016/S1007-0214(06)70161-4
Zhao, 2006, Random fuzzy renewal process, European Journal of Operational Research, 169, 189, 10.1016/j.ejor.2004.04.049