Research article

The new construction of knowledge measure on intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets

  • Received: 22 July 2023 Revised: 21 August 2023 Accepted: 31 August 2023 Published: 25 September 2023
  • MSC : 90B50, 91A35

  • As we all know, when describing knowledge measures in the context of intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets, it is always considered as dual measures of entropy. However, information content and information clarity is closely related with the amount of knowledge. Motivated by this fact, in this study, we focus on a new axiomatic definition of knowledge measures for intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets. First, we present the formulas of the knowledge measures using different abstract functions, and we proved these functions satisfy the axioms. On the basis of mathematical analysis and numerical examples, we further analyze the characteristics of the suggested knowledge measure. Finally, in order to demonstrate how rational and useful the system we developed is, we provide medical diagnoses and specific multi-attribute decision problems.

    Citation: Chunfeng Suo, Yan Wang, Dan Mou. The new construction of knowledge measure on intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets[J]. AIMS Mathematics, 2023, 8(11): 27113-27127. doi: 10.3934/math.20231387

    Related Papers:

  • As we all know, when describing knowledge measures in the context of intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets, it is always considered as dual measures of entropy. However, information content and information clarity is closely related with the amount of knowledge. Motivated by this fact, in this study, we focus on a new axiomatic definition of knowledge measures for intuitionistic fuzzy sets and interval-valued intuitionistic fuzzy sets. First, we present the formulas of the knowledge measures using different abstract functions, and we proved these functions satisfy the axioms. On the basis of mathematical analysis and numerical examples, we further analyze the characteristics of the suggested knowledge measure. Finally, in order to demonstrate how rational and useful the system we developed is, we provide medical diagnoses and specific multi-attribute decision problems.



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    [1] K. Atanassov, G. Gargov, Interval valued intuitionistic fuzzy sets, Fuzzy. Set Syst., 31 (1989), 343–349. http://doi.org/10.1016/0165-0114(89)90205-4 doi: 10.1016/0165-0114(89)90205-4
    [2] A. De Luca, S. Termini, A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory, In: Readings in fuzzy sets for intelligent systems, 1993,197–202. http://doi.org/10.1016/B978-1-4832-1450-4.50020-1
    [3] K. H. Guo, H. Xu, A unified framework for knowledge measure with application: From fuzzy sets through interval-valued intuitionistic fuzzy sets, Appl. Soft Comput., 109 (2021), 107539. http://doi.org/10.1016/j.asoc.2021.107539 doi: 10.1016/j.asoc.2021.107539
    [4] D. Q. Tran, X. T. Nguyen, D. D. Nguyen, Q. T. Nguyen, A novel entropy of intuitionistic fuzzy sets based on similarity and its application in finance, J. Intell. Fuzzy Syst., 43 (2022), 3899–3909. https://doi.org/10.3233/jifs-211563 doi: 10.3233/jifs-211563
    [5] B. C. Yu, X. J. Zhao, M. F. Zheng, X. J. Yuan, B. Hou, Entropy on intuitionistic fuzzy sets and hesitant fuzzy sets, J. Math., 2022 (2022), 1585079. https://doi.org/10.1155/2022/1585079 doi: 10.1155/2022/1585079
    [6] X. D. Wang, Y. F. Song, Uncertainty measure in evidence theory with its applications, Appl. Intell., 48 (2018). 1672–1688. https://doi.org/10.1007/s10489-017-1024-y doi: 10.1007/s10489-017-1024-y
    [7] E. Szmidt, J. Kacprzyk, P. Bujnowski, How to measure the amount of knowledge conveyed by Atanassov's intuitionistic fuzzy sets, Inf. Sci., 257 (2014), 276–285. http://doi.org/10.1016/j.ins.2012.12.046 doi: 10.1016/j.ins.2012.12.046
    [8] K. H. Guo, J. Zang, Knowledge measure for interval-valued intuitionistic fuzzy sets and its application to decision making under uncertainty, Soft Comput., 14 (2019), 6967–6978. http://doi.org/10.1007/s00500-018-3334-3 doi: 10.1007/s00500-018-3334-3
    [9] K. H. Guo, Knowledge measure for Atanassov's intuitionistic fuzzy sets, IEEE Trans. Fuzzy Syst., 24 (2015), 1072–1078. https://doi.org/10.1109/tfuzz.2015.2501434 doi: 10.1109/tfuzz.2015.2501434
    [10] X. Wu, Y. F. Song, Y. F. Wang, Distance-based knowledge measure for intuitionistic fuzzy sets with its application in decision making, Entropy, 23 (2021), 1119. https://doi.org/10.3390/e23091119 doi: 10.3390/e23091119
    [11] K. H. Guo, Knowledge measures for Atanassov's intuitionistic fuzzy sets, IEEE Trans. Fuzzy Syst., 24 (2016), 1072–1078. http://doi.org/10.1109/tfuzz.2015.2501434 doi: 10.1109/tfuzz.2015.2501434
    [12] P. Tiwari, P. Gupta, Entropy, distance and similarity measures under interval-valued neutrosophic soft sets and their application in decision making, Informatica, 42 (2018), 617–627. https://doi.org/10.31449/inf.v42i4.1303 doi: 10.31449/inf.v42i4.1303
    [13] G. Wang, J. Zhang, Y. F. Song, Q. Li An entropy-based knowledge measure for Atanassov's intuitionistic fuzzy sets and its application to multiple attribute decision making, Entropy, 20 (2018), 981. http://doi.org/10.3390/e20120981 doi: 10.3390/e20120981
    [14] P. Tiwari, P. Gupta, Entropy, distance and similarity measures under interval-valued Intuitionistic fuzzy environment, Informatica, 42 (2018), 617–627. https://doi.org/10.31449/inf.v42i4.1303 doi: 10.31449/inf.v42i4.1303
    [15] N. Hoang, A new knowledge-based measure for intuitionistic fuzzy sets and its application in multiple attribute group decision-making, Expert Syst. Appl., 42 (2015), 8766–8774. http://doi.org/10.1016/j.eswa.2015.07.030 doi: 10.1016/j.eswa.2015.07.030
    [16] A. Ohlan, Novel entropy and distance measures for interval-valued intuitionistic fuzzy sets with application in multi-criteria group decision-making, Int. J. Gen. Syst., 51 (2022), 413–440. https://doi.org/10.1080/03081079.2022.2036138 doi: 10.1080/03081079.2022.2036138
    [17] Z. Xu, Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making, Control Decis., 22 (2007), 215–219.
    [18] K. H. Guo, H. Xu, Knowledge measure for intuitionistic fuzzy sets with attitude towards non-specificity, Int. J. Mach. Learn. Cyber., 10 (2019), 1657–1669. http://doi.org/10.1007/s00500-018-3334-3 doi: 10.1007/s00500-018-3334-3
    [19] J. Wu, F. Chiclana, A risk attitudinal ranking method for interval-valued intuitionistic fuzzy numbers based on novel attitudinal expected score and accuracy functions, Appl. Soft Comput., 22 (2014), 272–286. https://doi.org/10.1016/j.asoc.2014.05.005 doi: 10.1016/j.asoc.2014.05.005
    [20] J. Wu, F. Chiclana, Non-dominance and attitudinal prioritisation methods for intuitionistic and intervalvalued intuitionistic fuzzy preference relations, Expert Syst. Appl., 39 (2012), 13409–13416. https://doi.org/10.1016/j.eswa.2012.05.062 doi: 10.1016/j.eswa.2012.05.062
    [21] C. L. Xu, Improvement of the distance between intuitionistic fuzzy sets and its applications, J. Intell. Fuzzy Syst., 33 (2017), 1563–1575. https://doi.org/10.3233/jifs-17276 doi: 10.3233/jifs-17276
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