References
- Abdullah, L.; Najib, L. 2016. A new preference scale MCDM method based on interval-valued intuitionistic fuzzy sets and the analytic hierarchy process, Soft Computing 20(2): 511–523. http://dx.doi.org/10.1007/s00500-014-1519-y
- Atanassov, K. 1986. Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20: 87–96. http://dx.doi.org/10.1016/S0165-0114(86)80034-3
- Atanassov, K. 1989. More on intuitionistic fuzzy sets, Fuzzy Sets and Systems 33: 37–46. doi: 10.1016/0165-0114(89)90215-7
- http://dx.doi.org/10.1016/0165-0114(89)90215-7
- Chen, T. Y. 2014. Interval-valued intuitionistic fuzzy QUALIFLEX method with a likelihood-based comparison approach for multiple criteria decision analysis, Information Sciences 261: 149–169. http://dx.doi.org/10.1016/j.ins.2013.08.054
- Cuong, B. 2013. Picture fuzzy sets-first results, part 1, in Seminar “Neuro-Fuzzy Systems with Applications”. Institute of Mathematics, Hanoi.
- Deluca, A.; Fernuni, S. 1972. A definition of non-probabilistic entropy in the setting of fuzzy sets theory, Information and Control 20: 301–312. http://dx.doi.org/10.1016/S0019-9958(72)90199-4
- Kosareva, N.; Krylovas, A. 2013. Comparison of accuracy in ranking alternatives performing generalized fuzzy average functions, Technological and Economic Development of Economy 19(1): 162–187. http://dx.doi.org/10.3846/20294913.2012.763072
- Krohling, R. A.; Pacheco, A. G. C.; Siviero, A. L. T. 2013. IF-TODIM: an intuitionistic fuzzy TODIM to multi-criteria decision making, Knowledge-Based Systems 53: 142–146. http://dx.doi.org/10.1016/j.knosys.2013.08.028
- Kullback, S.; Leibler, R. A. 1951. On information and sufficiency, Annals of the Institute of Statistical Mathematics 4: 99–111. http://dx.doi.org/10.1214/aoms/1177729694
- Lin, J. 1991. Divergence measures based on Shannon entropy, IEEE Transactions on Information Theory 37: 145–151. http://dx.doi.org/10.1109/18.61115
- Lourenzutti, R.; Krohling, R. A. 2013. A study of TODIM in a intuitionistic fuzzy and random environment, Expert Systems with Applications 40(16): 6459–6468. http://dx.doi.org/10.1016/j.eswa.2013.05.070
- Razavi Hajiagha, S. H.; Hashemi, S. S.; Zavadskas, E. K. 2013. A complex proportional assessment method for group decision making in an interval-valued intuitionistic fuzzy environment, Technological and Economic Development of Economy 19(1): 22–37. http://dx.doi.org/10.3846/20294913.2012.762953
- Razavi Hajiagha, S. H.; Mahdiraji, H. A.; Hashemi, S. A.; Zavadskas, E. K. 2015. Evolving a linear programming technique for MAGDM problems with interval valued intuitionistic fuzzy information, Expert Systems with Applications 42(23): 9318–9325. http://dx.doi.org/10.1016/j.eswa.2015.07.067
- Shang, X. G.; Jiang, W. S. 1997. A note on fuzzy information measures, Pattern Recognition Letters 18: 425–432. http://dx.doi.org/10.1016/S0167-8655(97)00028-7
- Shannon, C. E. 1948. A mathematical theory of communication, Bell System Technical Journal 27: 379–423. http://dx.doi.org/10.1002/j.1538-7305.1948.tb01338.x
- Singh, P. 2014. Correlation coefficients for picture fuzzy sets, Journal of Intelligent & Fuzzy Systems 27: 2857–2868.
- Son, L. H. 2015. DPFCM: a novel distributed picture fuzzy clustering method on picture fuzzy sets, Expert System with Applications 2: 51–66. http://dx.doi.org/10.1016/j.eswa.2014.07.026
- Thong, N. T. 2015. HIFCF: an effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis, Expert Systems with Applications 42(7): 3682–3701. http://dx.doi.org/10.1016/j.eswa.2014.12.042
- Thong, P. H.; Son, L. H. 2015. A new approach to multi-variables fuzzy forecasting using picture fuzzy clustering and picture fuzzy rules interpolation method, in 6th International Conference on Knowledge and Systems Engineering (KSE 2014), 9–10 October 2014, Hanoi, Vietnam, 679–690. http://dx.doi.org/10.1007/978-3-319-11680-8_54
- Vlachos, I. K.; Sergiadis, G. D. 2007. Intuitionistic fuzzy information-applications to pattern recognition, Pattern Recognition Letters 28: 197–206. http://dx.doi.org/10.1016/j.patrec.2006.07.004
- Wang, W. Z.; Liu, X. W. 2014. Some hesitant fuzzy geometric operators and their application to multiple attribute group decision making, Technological and Economic Development of Economy 20(3): 371–390. http://dx.doi.org/10.3846/20294913.2013.877094
- Wu, J. 2015. A SD-IITFOWA operator and TOPSIS based approach for MAGDM problems with intuitionistic trapezoidal fuzzy numbers, Technological and Economic Development of Economy 21(1): 28–47. http://dx.doi.org/10.3846/20294913.2014.946982
- Wu, J.; Huang, H. B.; Cao, Q. W. 2013. Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems, Applied Mathematical Modelling 37(24): 9898–9906. http://dx.doi.org/10.1016/j.apm.2013.05.035
- Xia, M. M.; Xu, Z. S. 2012. Entropy/cross entropy-based group decision making under intuitionistic fuzzy environment, Information Fusion 13: 31–47. http://dx.doi.org/10.1016/j.inffus.2010.12.001
- Xu, Z. S.; Xia, M. M. 2012. Hesitant fuzzy entropy and cross-entropy and their use in multiattribute decision-making, International Journal of Intelligent Systems 27: 799–822. http://dx.doi.org/10.1002/int.21548
- Ye, J. 2009a. Fault diagnosis of turbine based on fuzzy cross entropy of vague sets, Expert Systems with Applications 36: 8103–8106. http://dx.doi.org/10.1016/j.eswa.2008.10.017
- Ye, J. 2009b. Multicriteria fuzzy decision-making method based on the intuitionistic fuzzy crossentropy, in Y. C. Tang, J. Lawry, V. N. Huynh (Eds.). Proceedings in International Conference on Intelligent Human-Machine Systems and Cybernetics, 1: IEEE Computer Society, 59–61. http://dx.doi.org/10.1109/ihmsc.2009.23
- Ye, J. 2011. Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives, Expert Systems with Applications 38: 6179–6183. http://dx.doi.org/10.1016/j.eswa.2010.11.052
- Zadeh, L. A. 1965. Fuzzy sets, Information Control 8: 338–353. http://dx.doi.org/10.1016/S0019-9958(65)90241-X
- Zadeh, L. A. 1968. Probability measures of fuzzy events, Journal of Mathematical Analysis and Applications 23: 421–427. http://dx.doi.org/10.1016/0022-247X(68)90078-4
- Zavadskas, E. K.; Antucheviciene, J.; Razavi Hajiagha, S. H.; Hashemi, S. S. 2014. Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF), Applied Soft Computing 24: 1013–1021. http://dx.doi.org/10.1016/j.asoc.2014.08.031
- Zhang, Q. S.; Jiang, S. Y. 2008. A note on information entropy measures for vague sets, Information Sciences 178: 4184–4191. http://dx.doi.org/10.1016/j.ins.2008.07.003
- Zhang, Q. S.; Jiang, S. Y. 2010. Relationships between entropy and similarity measure of inter-valvalued intuitionistic fuzzy sets, International Journal of Intelligent Systems 25: 1121–1140.