Abstract
In this paper, the expression and the ranking of uncertain or imprecise digital information are studied by using multi-knots piecewise linear fuzzy numbers. A method to construct multi-knots piecewise linear fuzzy numbers which can be used to express uncertain digital information is proposed, and the calculation formulas of the centroid and dispersion degree of multi-knots piecewise linear fuzzy number are obtained. Then by using the results obtained by us, a method of ranking of some objects (to be dealt with) which are characterized by uncertain or imprecise real number information is established. At last, a specific application example in decision making is given to show the application and the feasibility of the established method of ranking.





Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Al-Mumtazah, N.S., Surono, S.: Quadratic form optimization with fuzzy number parameters: Multiobjective approaches. Int J Fuzzy Sys (2020). https://doi.org/10.1007/s40815-020-00808-x
Arotaritei, D., Ionescu, F.: Fuzzy Voronoi diagram for disjoint fuzzy numbers of dimension two. J Intelligent & Fuzzy Sys 26, 1253–1262 (2014)
Asady, B.: Revision of distance minimization method for ranking of fuzzy numbers. Appl Mathematical Modelling 35(3), 1306–1313 (2011)
Báez-Sánchez, A.D., Moretti, A.C., Rojas-Medar, M.A.: On polygonal fuzzy sets and numbers. Fuzzy Sets Sys 209, 54–65 (2012)
Ban, A., Coroianu, L.: Symmetric triangular approximations of fuzzy numbers under a general condition and properties. Soft Comput 20, 1249–1261 (2016)
Chang, S.S.L., Zadeh, L.A.: On fuzzy mappings and control. IEEE Trans. Syst. Man Cybernet 2, 30–34 (1972)
Coroianu, L., Gagolewski, M., Grzegorzewski, P.: Nearest piecewise linear approximation of fuzzy numbers. Fuzzy Sets Sys 233, 26–51 (2014)
Coroianu, L., Gagolewski, M., Grzegorzewski, P.: Piecewise linear approximation of fuzzy numbers: algorithms, arithmetic operations and stability of characteristics. Soft Computing, Soft Computing 23(19), 9491–9505 (2019)
Coroianu, L., Stefanini, L.: General approximation of fuzzy numbers by F-transform. Fuzzy Sets and Systems 288, 46–74 (2016)
Dong, J., Wan, S.: A new trapezoidal fuzzy linear programming method considering the acceptance degree of fuzzy constraints violated. Knowledge-Based Systems 2018(148), 100–114 (2018)
Dubois, D., Prade, H.: Operations on fuzzy numbers. Int J Sys Sci 9, 613–626 (1978)
Eslamipoor, R., Haji, M.J., Sepehriar, A.: Proposing a revised method for ranking fuzzy numbers. J Intell Fuzzy Syst 25, 373–378 (2013)
Figueroa-García, J.C., Chalco-Cano, Y., Román-Flores, H.: Yager Index and Ranking for Interval Type-2 fuzzy numbers. IEEE Transactions on Fuzzy Systems 26(5), 2709–2718 (2018)
Goetschel, R., Voxman, W.: Elementary calculus. Fuzzy Sets and Systems 18, 31–43 (1986)
Gong, Z., Hai, S.: Convexity of n-dimensional fuzzy number-valued functions and its applications. Fuzzy Sets and Systems 295, 19–36 (2016)
Gong, Z., Shao, Y.: The controlled convergence theorems for the strong Henstock integrals of fuzzy-number-valued functions. Fuzzy Sets and Systems 160(11), 1528–1546 (2009)
Gong, Z., Hao, Y.: Fuzzy Laplace transform based on the Henstock integral and its applications in discontinuous fuzzy systems. Fuzzy Sets and Systems 358, 1–28 (2019)
Gong, Z., Zhang, L., Zhu, X.: The statistical convergence for sequences of fuzzy-number-valued functions. Information Sci 295, 182–195 (2015)
Hai, S., Gong, Z., Li, H.: Generalized differentiability for \(n-\)dimensional fuzzy-number-valued functions and fuzzy optimization. Information Sci 374, 151–163 (2016)
Haji, M.J., Zare, H.K., Eslamipoor, R., Sepehriar, A.: A developed distance method for ranking generalized fuzzy numbers. Neural Comput and Applic 25, 727–731 (2014)
Javanmard, M., Nehi, H.M.: A Solving Method for Fuzzy Linear Programming Problem with Interval Type-2 Fuzzy Numbers. Int J Fuzzy Sys 21, 882–891 (2019)
Shahsavari-pour, N., Heydari, A., Kazemi, M., Karami, M.: A novel method for ranking fuzzy numbers based on the different areas fuzzy number. Int J Mathemat Operational Res 11(4), 544–566 (2017)
Wang, X., Kerre, E.E.: Reasonable properties for the ordering of fuzzy quantities (I). Fuzzy Sets and Syst 118, 375–385 (2001)
Wang, G., Li, Y.: Ranking of multidimensional uncertain information based on metrics on the fuzzy ellipsoid number space. IEEE Trans on Fuzzy Syst 25(3), 614–626 (2017)
Wang, G., Shi, P., Messenger, P.: Representation of uncertain multi-channel digital signal spaces and study of pattern recognition based on metrics and diferrence values on fuzzy n-ell number spaces. IEEE Trans on Fuzzy Systems 17(2), 421–439 (2009)
Wang, G., Shi, P., Wang, B., Zhang, J.: Fuzzy n-ellipsoid numbers and representations of uncertain multichannel digital information. IEEE Trans on Fuzzy Systems 22(5), 1113–1126 (2014)
Wang, G., Shi, P., Wen, C.: Fuzzy approximation relations on fuzzy n-cell number space and their applications in classification. Information Sciences 181, 3846–3860 (2011)
Wang, G., Wang, X., Qin, S., Zhang, G.: Dynamic ranking of multi-dimensional uncertain information based on fuzzy order on the fuzzy ellipsoid number space. Journal of Intelligent & Fuzzy Systems 36(6), 6555–6566 (2019)
Yager, R.R.: Ranking fuzzy subsets over the unit interval. In: Proc. CDC, pp. 1435–1437 (1978)
Yang, H., Gong, Z.: Ill-posedness for fuzzy Fredholm integral equations of the first kind and regularization methods. Fuzzy Sets and Systems 358, 132–149 (2019)
Yazdi, H.S., GhasemiGol, M., Effati, S.: Hierarchical tree clustering of fuzzy number. Journal of Intelligent & Fuzzy Systems 26, 541–550 (2014)
Yeh, C.T.: Note on symmetric triangular approximations of fuzzy numbers under a general condition and properties. Soft Comput 22, 2133–2137 (2018)
Acknowledgements
This work is supported partially by the Nature Science Foundation of China (Nos. 61771174 and U1934221).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, G., Wang, M. Expressing and Ranking of Uncertain Digital Information by Using Multi-Knots Piecewise Linear Fuzzy Numbers. Int. J. Fuzzy Syst. 24, 3067–3081 (2022). https://doi.org/10.1007/s40815-022-01305-z
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40815-022-01305-z