Abstract
The complexity of decision environments poses challenges for individuals engaged in decision-making proceedings. Picture fuzzy linguistic sets (PFLSs) are an effective tool for depicting the inherent subjective nature of human cognition. Aiming for the promotion of a general theory on PFLSs, we conduct a critical research to identify some limitations of a recent publication in Cognitive Computation [2018, 10(2), 242–259]. This published article is a meaningful and interesting study that initiates the PFLS as well as introduces the corresponding operations and the Archimedean picture fuzzy linguistic weighted arithmetic averaging operator. Unfortunately, we have carefully analyzed these operations and found that they may not be appropriate to all situations within picture fuzzy linguistic environment, which would result in the violation of human cognition. To eliminate this limitation, we explore and suggest novel operational laws and an aggregation operator for PFLSs from a modified version, so as to support further study on picture fuzzy linguistic group decision-making. Furthermore, a comparative and illustrative example is presented to validate the advantages of our modified operations. Towardly, the research outcome will be of significant benefit to promoting the development of picture fuzzy linguistic decision-making theory. Accordingly, our contribution to improving the current research on PFLSs makes their application in solving realistic problems feasible and practical.
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Liu P, Zhang X. A novel picture fuzzy linguistic aggregation operator and its application to group decision-making. Cogn Comput. 2018;10(2):242–59.
Cuong BC, Kreinovich V. Picture fuzzy sets - a new concept for computational intelligence: Third World Congress on Information and Communication Technologies (WICT). 2013. https://doi.org/10.1109/WICT.2013.7113099
Atanassov KT. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;20:87–96.
Ju Y, Ju D, Santibanez Gonzalez EDR, Giannakis M, Wang A. Study of site selection of electric vehicle charging station based on extended GRP method under picture fuzzy environment. Comput Ind Eng. 2019;135:1271–85.
Wang C, Zhou X, Tu H, Tao S. Some geometric aggregation operators based on picture fuzzy sets and their application in multiple attribute decision making. Ital J Pure Appl Math. 2017;37:477–92.
Wei G. Picture fuzzy Hamacher aggregation operators and their application to multiple attribute decision making. Fundam Inform. 2018;157(3):271–320.
Si A, Das S, Kar S. An approach to rank picture fuzzy numbers for decision making problems. Decis Mak. 2019;2(2):54–64.
Son LH. Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures. Fuzzy Optim Decis Making. 2017;16(3):359–78.
Wei G, Zhang S, Lu J, Wu J, Wei C. An extended bidirectional projection method for picture fuzzy MAGDM and its application to safety assessment of construction project. IEEE Access. 2019;7:166138–47.
Yue C. Picture fuzzy normalized projection and extended VIKOR approach to software reliability assessment. Appl Soft Comput. 2020;88:106056.
Zhang X, Wang X, Yu S, Wang J, Wang T. Location selection of offshore wind power station by consensus decision framework using picture fuzzy modelling. J Clean Prod. 2018;202:980–92.
Wang L, Wang X, Peng J, Wang J. The differences in hotel selection among various types of travellers: a comparative analysis with a useful bounded rationality behavioural decision support model. Tour Manag. 2020;76:103961.
Jana C, Senapati T, Pal M, Yager RR. Picture fuzzy Dombi aggregation operators: application to MADM process. Appl Soft Comput. 2019;74:99–109.
Zhang XY, Wang JQ, Hu JH. On novel operational laws and aggregation operators of picture 2-tuple linguistic information for MCDM problems. Int J Fuzzy Syst. 2018;20(3):958–69.
Yu SM, Wang J, Wang JQ. An extended TODIM approach with intuitionistic linguistic numbers. Int Trans Oper Res. 2018;25(3):781–805.
Zhang XY, Zhang HY, Wang JQ. Discussing incomplete 2-tuple fuzzy linguistic preference relations inmulti-granular linguistic MCGDM with unknown weight information. Soft Comput. 2019;23:2015–32.
Wu X, Liao H. A consensus-based probabilistic linguistic gained and lost dominance score method. Eur J Oper Res. 2019;272(3):1017–27.
Wei G. Picture 2-tuple linguistic Bonferroni mean operators and their application to multiple attribute decision making. Int J Fuzzy Syst. 2017;19(4):997–1010.
Shen KW, Wang XK, Qiao D, Wang JQ. Extended Z-MABAC method based on regret theory and directed distance for regional circular economy development program selection with Z-information. IEEE Trans Fuzzy Syst. 2020;28(8):1851–1863.
Chu J, Wang Y, Liu X, Liu Y. Social network community analysis based large-scale group decision making approach with incomplete fuzzy preference relations. Inf Fusion. 2020;60:98–120.
Liu C. Algorithms for neutrosophic soft decision making based on EDAS, new similarity measure and level soft set. J Intell Fuzzy Syst. 2017;32(1):955–68.
Wang Z, Lin J. And-like-uninorm based consistency analysis and optimized fuzzy weight closed-form solution of triangular fuzzy additive preference relations. Inf Sci. 2020;516:429–52.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 71871228), and the major project for National Natural Science Foundation of China (No. 71991460 and No. 71991461).
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Zhang, Xy., Wang, J., Wang, Jq. et al. A Revised Picture Fuzzy Linguistic Aggregation Operator and Its Application to Group Decision-Making. Cogn Comput 12, 1070–1082 (2020). https://doi.org/10.1007/s12559-020-09728-2
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DOI: https://doi.org/10.1007/s12559-020-09728-2