ABSTRACT
For the multiple attribute decision-making problem, the decision-making approach which considers hesitant fuzzy decision information and unknown attribute weights is investigated. Primarily, the formed vectors of alternative, positive and negative ideal direction are defined. Subsequently, a bidirectional projection based on hesitant fuzzy information is established. Simultaneously, the improved closeness degree equation is proposed. Further, an attribute weight determination model which maximizes the closeness degree and entropy is constructed. In the last, an illustrative example is provided to demonstrate the validity and feasibility of the proposed approach.
- Zhang, X. F. and Su, J. F. 2018. An integrated QFD and 2-tuple linguistic method for solution selection in crowdsourcing contests for innovative tasks. Journal of Intelligent and Fuzzy Systems. 35, 6, 6329--6342.Google ScholarCross Ref
- Zhang, X. F. and Su, J. F. 2019. A combined fuzzy DEMATEL and TOPSIS approach for estimating participants in knowledge-intensive crowdsourcing. Computers & Industrial Engineering. 137, 106085.Google ScholarCross Ref
- Yang, J., Su, J. F. and Song, L. J. 2019. Selection of Manufacturing Enterprise Innovation Design Project Based on Consumer's Green Preferences. Sustainability. 11, 5, 1375.Google Scholar
- Sahin, R. and Liu, P. D. 2017. Correlation coefficient of single-valued neutrosophic hesitant fuzzy sets and its applications in decision making. Neural Computing & Applications. 28, 6, 1387--1395.Google ScholarDigital Library
- Zadeh, L. A. 1965. Fuzzy set. Information and Control. 8, 3, 338--353.Google ScholarCross Ref
- Torra, V. 2010. Hesitant fuzzy sets. International Journal of Intelligent System. 25, 529--539.Google ScholarDigital Library
- Su, J. F., Yang, Y. and Zhang, X. F. 2019. Knowledge transfer efficiency measurement with application for open innovation networks. International Journal of Technology Management. 81, 1--2, 118--142.Google Scholar
- Su, J. F., Yang, Y. and Yang, T. 2018. Measuring knowledge diffusion efficiency in R&D networks. Knowledge management research and practice. 16, 2, 208--219.Google Scholar
- Wei, G. and Lu, M. 2017. Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making. Archives of Control Sciences. 27, 3, 365--395.Google ScholarCross Ref
- Qi, X., Zhang, J. and Liang, C. 2018. Multiple attributes group decision-making under interval-valued dual hesitant fuzzy unbalanced linguistic environment with prioritized attributes and unknown decision-makers' weights. Information. 9, 6, 145.Google ScholarCross Ref
- Xu, Y., Shang, X. and Wang, J. 2018. Some q-rung dual hesitant fuzzy heronian mean operators with their application to multiple attribute group decision-making. Symmetry. 10, 10, 472.Google ScholarCross Ref
- Wang, S. L. 2012. A novel multi-attribute allocation method based on entropy principle, Journal of Software Engineering. 6, 1, 16--20.Google ScholarCross Ref
- Wang, Z., Li, K. W. and Wang W. 2009. An approach to multi-attribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights. Information Sciences. 179, 17, 3026--3040.Google ScholarDigital Library
- Wei, G. W. 2008. A method of interval-valued intuitionistic fuzzy multiple attributes decision making with incomplete attribute weight information. Chinese Journal of Management. 5, 2, 208--211.Google Scholar
- Yuan, Y., Guan, T. and Yan, X. B. 2014. Multi-criteria decision making model based on interval-valued intuitionistic fuzzy number correlation coefficient. Journal of Management Sciences in China. 17, 4, 11--18, 2014.Google Scholar
- Liao, H. and Xu, Z. S. 2014. Satisfaction degree based interactive decision making under hesitant fuzzy environment with incomplete weights. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 22, 4, 553--572.Google ScholarCross Ref
- Rezaei, J. 2015. Best-worst multi-criteria decision-making method. Omega. 53, 49--57.Google ScholarCross Ref
- Su, J. F. Li, C., Zeng, Q. J., et al. 2019. A green closed-loop supply chain coordination mechanism based on third-party recycling. Sustainability. 11, 19, 5335.Google ScholarCross Ref
- Xu, Z. S. and Hu, H. 2010. Projection models for intuitionistic fuzzy multiple attribute decision making. International Journal of Information Technology & Decision Making. 9, 2, 267--280.Google ScholarCross Ref
- Zhou, H. A. and Liu, S. Y. 2007. Projection method of fuzzy multi-attribute decision-making based on the maximal deviation model. Systems Engineering and Electronics. 29, 5, 741--744.Google Scholar
- Wei, G. W. 2012. Hesitant fuzzy prioritized operators and their application to multiple attribute decision making. Knowledge-Based Systems. 31, 176--182.Google ScholarDigital Library
- Li, B. D, Yang, Y., Su, J. F., et al. 2019. Two-sided matching model for complex product manufacturing tasks based on dual hesitant fuzzy preference information. Knowledge-Based Systems. 186, 104989.Google ScholarDigital Library
- Liu, X. D., Zu, J. J. and Liu, S. F. 2014. Bidirectional projection method with hesitant fuzzy information. System Engineering-Theory & Practice. 34, 10, 2637--2644.Google Scholar
- Shao, L.S. and Zhao, L. L. 2016. Bidirectional projection method with interval-valued intuitionistic fuzzy information. Control and Decision. 31, 3, 571--576.Google Scholar
- Xu, Z. S. and Zhang, X. L. 2013. Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information. Knowledge-Based Systems. 52, 6, 53--64.Google ScholarDigital Library
- Hussain, Z. and Yang, M. S. 2018. Entropy for hesitant fuzzy sets based on hausdorff metric with construction of hesitant fuzzy TOPSIS. International Journal of Fuzzy Systems. 20, 8, 2517--2533.Google ScholarCross Ref
- Liu, X. D., Zu J. J. and Liu S.F. 2014. Bidirectional projection method with hesitant fuzzy information. System Engineering-Theory & Practice. 34, 10, 2637-264Google Scholar
Index Terms
- A Decision Making Approach under Hesitant Fuzzy Information
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