References
- Alcantud, J. C. R.; de Andrés Calle, R.; Torrecillas, M. J. M. 2016. Hesitant fuzzy worth: an innovative ranking methodology for hesitant fuzzy sets, Applied Soft Computing 38: 232–243. https://doi.org/10.1016/j.asoc.2015.09.035
- Ali, I.; Zhuang, J. 2007. Inclusive growth toward a prosperous Asia: policy implications, ERD Working Paper Series 3: 93–97.
- Ashtiani, M.; Azgomi, M. A. 2016. A hesitant fuzzy model of computational trust considering hesitancy, vagueness and uncertainty, Applied Soft Computing 42: 18–37. https://doi.org/10.1016/j.asoc.2016.01.023
- Atanassov, K. 1986. Intuitionistic fuzzy sets, Fuzzy Sets and Systems 20(1): 87–96. https://doi.org/10.1016/S0165-0114(86)80034-3
- Chen, N.; Xu, Z. S.; Xia, M. M. 2015. The ELECTRE 1 multi-criteria decision-making method based on hesitant fuzzy sets, International Journal of Information Technology & Decision Making 14(3): 621–657. https://doi.org/10.1142/S0219622014500187
- Collins, R. D.; Selin, N. E.; Weck, O. L. D.; Clark, W. C. 2017. Using inclusive wealth for policy evaluation: application to electricity infrastructure planning in oil-exporting countries, Ecological Economics 133: 23–34. https://doi.org/10.1016/j.ecolecon.2016.11.013
- Farhadinia, B. 2013. Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets, Information Sciences 240(10): 129–144. https://doi.org/10.1016/j.ins.2013.03.034
- Hu, J.; Zhang, X.; Chen, X.; Liu, Y. 2016. Hesitant fuzzy information measures and their applications in multi-criteria decision making, International Journal of System Sciences 47(1): 62–76. http://doi.org/10.1080/00207721.2015.1036476
- Li, D. Q.; Zeng, W. Y.; Zhao, Y. B. 2015. Note on distance measure of hesitant fuzzy sets, Information Sciences 321: 103–115. https://doi.org/10.1016/j.ins.2015.03.076
- Li, W.; Chen, G. F.; Duan, C. 2010. Research and implementation of Index weight calculation model for power grid investment return, Lecture Notes in Computer Science 6318: 44–52. https://doi.org/10.1007/978-3-642-16515-3_7
- Liao, H. C.; Xu, Z. S. 2013. A VIKOR-based method for hesitant fuzzy multi-criteria decision making, Fuzzy Optimization and Decision Making 12: 373–392. https://doi.org/10.1007/s10700-013-9162-0
- Liao, H. C.; Xu, Z. S.; Zeng, X. J. 2015. Novel correlation coefficients between hesitant fuzzy sets and their application in decision making, Knowledge-Based Systems 82 (C): 115–127. https://doi.org/10.1016/j.knosys.2015.02.020
- Liu, S. T. 2016. A mathematical programming approach to sample coefficient of variation with interval-valued observations, TOP 24: 1–18. https://doi.org/10.1007/s11750-015-0391-y
- Liu, X.; Zhu, J.; Zhang, S.; Hao, J.; Liu, G. 2015. Integrating LNMAP and TOPSIS methods for hesitant fuzzy multiple attribute decision making, Journal of Intelligent & Fuzzy Systems 28(1): 257–269. https://doi.org/10.3233/IFS-141296
- Liu, X. D.; Wang, Z. W.; Zhang, S. T. 2016. A modification on the hesitant fuzzy set lexicographical ranking method, Symmetry 8(12):1–8. https://doi.org/10.3390/sym8120153
- McKinley, T. 2010. Inclusive growth criteria and indicators: an inclusive growth index for diagnosis of country progress. Working Paper, Asian Development Bank 14.
- Meng, F. Y.; Chen, X. H. 2015. Correlation coefficients of hesitant fuzzy sets and their application based on fuzzy measures, Cognitive Computation 7(4): 445–463. https://doi.org/10.1007/s12559-014-9313-9
- Onar, S. Ç.; Büyüközkan, G.; Öztayşi, B.; Kahraman, C. 2016. A new hesitant fuzzy QFD approach: an application to computer workstation selection, Applied Soft Computing 46: 1–16. https://doi.org/10.1016/j.asoc.2016.04.023
- Peng, D. H.; Wang, H. 2014. Dynamic hesitant fuzzy aggregation operators in multi-period decision making, Kybernetes 43(5): 715–736. https://doi.org/10.1108/K-11-2013-0236
- Peng, J. J.; Wang, J. Q.; Wu, X. H. 2016. Novel multi-criteria decision-making approaches based on hesitant fuzzy sets and prospect theory, International Journal of Information Technology & Decision Making 15(3): 621–643. https://doi.org/10.1142/S0219622016500152
- Qin, J. D.; Liu, X. W.; Pedrycz, W. 2015. Hesitant fuzzy Maclaurin symmetric mean operators and its application to multiple-attribute decision making, International Journal of Fuzzy Systems 17(4): 509–520. https://doi.org/10.1007/s40815-015-0049-9
- Rodríguez, R. M.; Bedregal, B.; Bustince, H.; et al. 2016. A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making: towards high quality progress, Information Fusion 29 (C): 89–97. https://doi.org/10.1016/j.inffus.2015.11.004
- Torra, V. 2010. Hesitant fuzzy sets, International Journal of Intelligent Systems 25(6): 529–539. https://doi.org/10.1002/int.20418
- Wang, J. Q.; Wang, D. D.; yu Zhang, H.; Chen, X. H. 2014. Multi-criteria outranking approach with hesitant fuzzy sets, OR Spectrum 36(4): 1001–1019. https://doi.org/10.1007/s00291-013-0354-3
- Wang, Y.; Jing, H.; Han, L.; Yu, L.; Zhang, Q. 2014. Risk analysis on swell-shrink capacity of expansive soils with efficacy coefficient method and entropy coefficient method, Applied Clay Science 99(9): 275–281. https://doi.org/10.1016/j.clay.2014.07.005
- Wang, Z. S.; Wang, L. J. 2011. Optimization of coarse aggregate content based on efficacy coefficient method, Journal of Wuhan University of Technology-Mater. Sci. Ed. 26(2): 329–334. https://doi.org/10.1007/s11595-011-0224-2
- Wei, G. W. 2012. Hesitant fuzzy prioritized operators and their application to multiple attribute decision making, Knowledge-Based Systems 31(7): 176–182. https://doi.org/10.1016/j.knosys.2012.03.011
- Xia, M. M.; Xu, Z. S. 2011. Hesitant fuzzy information aggregation in decision making, International Journal of Approximate Reasoning 52(3): 395–407. https://doi.org/10.1016/j.ijar.2010.09.002
- Xu, Z. S.; Xia, M. M. 2011a. On distance and correlation measures of hesitant fuzzy information, International Journal of Intelligent Systems 26(5): 410–425. https://doi.org/10.1002/int.20474
- Xu, Z. S.; Xia, M. M. 2011b. Distance and similarity measures for hesitant fuzzy sets, Information Sciences 181(11): 2128–2138. https://doi.org/10.1016/j.ins.2011.01.028
- Xu, Z. S.; Zhang, X. L. 2013. Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information, Knowledge-Based Systems 52(6): 53–64. https://doi.org/10.1016/j.knosys.2013.05.011
- Yang, S. Q.; Gao, W. S. 2006. Harmony coefficient and regional agricultural systems, Journal of Integrative Agriculture 5(7): 539–544. https://doi.org/10.1016/S1671-2927(06)60089-8
- Yu, D. J.; Zhang, W. Y.; Xu, Y. J. 2013. Group decision making under hesitant fuzzy environment with application to personnel evaluation, Knowledge-Based Systems 52(6): 1–10. https://doi.org/10.1016/j.knosys.2013.04.010
- Yu, M.; Wang, X. L. 2012. China’s inclusive growth: measurement and evaluation, Economic Review 3: 30–38.
- Zadeh, L. A. 1965. Fuzzy sets, Information and Control 8(3): 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
- Zhang, Z. M. 2013. Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making, Information Sciences 234(10): 150–181. https://doi.org/10.1016/j.ins.2013.01.002
- Zhu, B.; Xu, Z. S. 2014. Analytic hierarchy process-hesitant group decision making, European Journal of Operational Research 239(3): 794–801. https://doi.org/10.1016/j.ejor.2014.06.019
- Zhu, B.; Xu, Z. S. 2013. Hesitant fuzzy Bonferroni means for multi-criteria decision making, Journal of the Operational Research Society 64(12): 1831–1840. https://doi.org/10.1057/jors.2013.7