一个新的区间值直觉模糊熵
A New Entropy for Interval-Valued Intuitionistic Fuzzy Set
DOI: 10.12677/ORF.2024.141070, PDF,  被引量   
作者: 伍淼锋, 陈子春, 袁家琪:西华大学理学院,四川 成都
关键词: 区间值直觉模糊集Interval-Valued Intuitionistic Fuzzy Set Entropy
摘要: 区间值直觉模糊集能够很好的描述不确定性问题,被广泛的应用于决策问题。区间值直觉模糊熵是区间值直觉模糊集理论中的一个重要工具,一方面可以度量一个模糊集的模糊程度,另一方面在决策问题中可以用来确定属性权重,或者直接进行决策。现存的区间值直觉模糊熵存在一些缺陷,有的出现了违反直觉的情况,有的只满足某些特定的公理化要求,有的形式太过复杂。为了克服现存的区间值直觉模糊熵的缺陷,本文提出了一个新的区间值直觉模糊熵,证明其满足了公理化定义并得到了一些推论。最后通过实例与一些现存的区间值直觉模糊熵进行比较,说明了新的区间值直觉模糊熵在应用方面的有效性和优越性。
Abstract: Interval-valued intuitionistic fuzzy set can describe the uncertainty problem well and is widely used in decision-making problems. Interval intuitionistic fuzzy entropy is an important tool in the theory of interval intuitionistic fuzzy sets, which can measure the degree of ambiguity of a fuzzy set, and can be used to determine attribute weights or make decisions directly in decision-making problems. The existing interval-valued intuitionistic fuzzy entropy has some defects, some of which are counterintuitive, some of which only meet certain axiomatic requirements, and some of which are too complex. In order to overcome the shortcomings of the existing interval-valued intuitionistic fuzzy entropy, this paper proposes a new interval-valued intuitionistic fuzzy entropy, which proves that it satisfies the axiomatic definition and obtains some inferences. Finally, an example is compared with some existing interval intuitionistic fuzzy entropy, which illustrates the effectiveness and superiority of the new interval-valued intuitionistic fuzzy entropy in application.
文章引用:伍淼锋, 陈子春, 袁家琪. 一个新的区间值直觉模糊熵[J]. 运筹与模糊学, 2024, 14(1): 748-759. https://doi.org/10.12677/ORF.2024.141070

参考文献

[1] Zadeh, L.A. (1965) Fuzzy Sets. Information and Control, 8, 338-353. [Google Scholar] [CrossRef
[2] Atanassov, K.T. (1986) Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems, 20, 87-96. [Google Scholar] [CrossRef
[3] Atanassov, K.T. (1999) Interval Valued Intuitionistic Fuzzy Sets. In: Atanassov, K.T., Ed., Intuitionistic Fuzzy Sets, Physica, Heidelberg, 139-177. [Google Scholar] [CrossRef
[4] Atanassov, K.T. (1994) Operators over Interval Valued Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems, 64, 159-174. [Google Scholar] [CrossRef
[5] Zadeh, L.A. (1968) Probability Measures of Fuzzy Events. Journal of Mathematical Analysis and Applications, 23, 421-427. [Google Scholar] [CrossRef
[6] De Luca, A. and Termini, S.A. (1993) Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory. In: Didier Dubois, Henri Prade and Ronald R. Yager, Eds., Readings in Fuzzy Sets for Intelligent Systems, Morgan Kaufmann, Burlington, 197-202. [Google Scholar] [CrossRef
[7] Burillo, P. and Bustince, H. (1996) Entropy on Intuitionistic Fuzzy Sets and on Interval-Valued Fuzzy Sets. Fuzzy Sets and Systems, 78, 305-316. [Google Scholar] [CrossRef
[8] Szmidt, E. and Kacprzyk, J. (2001) Entropy for Intui-tionistic Fuzzy Sets. Fuzzy Sets and Systems, 118, 467-477. [Google Scholar] [CrossRef
[9] Liu, X., Zheng, S. and Xiong, F. (2005) Entropy and Subsethood for General Interval-Valued Intuitionistic Fuzzy Sets. In: Wang, L. and Jin, Y., Eds., FSKD 2005: Fuzzy Systems and Knowledge Discovery, Springer, Berlin, 42-52. [Google Scholar] [CrossRef
[10] Zhang, Q. and Jiang, S. (2010) Relationships between Entropy and Similarity Measure of Interval-Valued Intuitionistic Fuzzy Sets. International Journal of Intelligent Systems, 25, 1121-1140. [Google Scholar] [CrossRef
[11] Gao, Z. and Wei, C. (2012) Formula of Interval-Valued Intuitionistic Fuzzy Entropy and Its Applications. Computer Engineering and Applications, 48, 53-55.
[12] Jin, F., Pei, L., Chen, H., et al. (2014) Interval-Valued Intuitionistic Fuzzy Continuous Weighted Entropy and Its Application to Multi-Criteria Fuzzy Group Decision Making. Knowledge-Based Systems, 59, 132-141. [Google Scholar] [CrossRef
[13] Zhang, Q., Jiang, S., Jia, B. and Luo, S.H. (2010) Some Information Measures for Interval-Valued Intuitionistic Fuzzy Sets. Information Sciences, 180, 5130-5145. [Google Scholar] [CrossRef
[14] Chen, Q., Xu, Z., Liu, S., et al. (2010) A Method Based on In-terval-Valued Intuitionistic Fuzzy Entropy for Multiple Attribute Decision Making. Information-An International Interdisciplinary Journal, 13, 67-77.
[15] Ye, J. (2010) Multicriteria Fuzzy Decision-Making Method Using En-tropy Weights-Based Correlation Coefficients of Interval-Valued Intuitionistic Fuzzy Sets. Applied Mathematical Modelling, 34, 3864-3870. [Google Scholar] [CrossRef
[16] Wei, A.P., Li, D.F., Jiang, B.Q., et al. (2019) The Novel Generalized Exponential Entropy for Intuitionistic Fuzzy Sets and Interval Valued Intuitionistic Fuzzy Sets. Inter-national Journal of Fuzzy Systems, 21, 2327-2339. [Google Scholar] [CrossRef
[17] Wang, Y. and Lei, Y. (2007) A Technique for Constructing Intuitionistic Fuzzy Entropy. Control and Decision, 22, 1390.
[18] Huang, G. (2007) A New Fuzzy Entropy for Intuitionistic Fuzzy Sets. Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), Haikou, 24-27 August 2007, 57-61. [Google Scholar] [CrossRef
[19] Ohlan, A. (2022) Novel Entropy and Distance Measures for Interval-Valued Intuitionistic Fuzzy Sets with Application in Multi-Criteria Group Decision-Making. International Journal of General Systems, 51, 413-440. [Google Scholar] [CrossRef
[20] Li, Y., Cheng, Y., Mou, Q., et al. (2020) Novel Cross-Entropy Based on Multi-Attribute Group Decision-Making with Unknown Experts’ Weights under Inter-val-Valued Intuitionistic Fuzzy Environment. International Journal of Computational Intelligence Systems, 13, 1295-1304. [Google Scholar] [CrossRef
[21] Wei, C.P., Wang, P. and Zhang, Y.Z. (2011) En-tropy, Similarity Measure of Interval-Valued Intuitionistic Fuzzy Sets and Their Applications. Information Sciences, 181, 4273-4286. [Google Scholar] [CrossRef
[22] Borland, L., Plastino, A.R. and Tsallis, C. (1998) Information Gain within Nonextensivethermostatistics. Journal of Mathematical Physics, 39, 6490-6501. [Google Scholar] [CrossRef
[23] Singh, S. and Sharma, S. (2019) On Generalized Fuzzy Entropy and Fuzzy Divergence Measure with Applications. International Journal of Fuzzy System Applications (IJFSA), 8, 47-69. [Google Scholar] [CrossRef
[24] Singh, S. and Sharma, S. (2021) On a Generalized Entropy and Dissimilarity Measure in Intuitionistic Fuzzy Environment with Applications. Soft Computing, 25, 7493-7514. [Google Scholar] [CrossRef
[25] Zhang, Q., Xing, H., Liu, F., et al. (2014) Some New En-tropy Measures for Interval-Valued Intuitionistic Fuzzy Sets Based on Distances and Their Relationships with Sim-ilarity and Inclusion Measures. Information Sciences, 283, 55-69. [Google Scholar] [CrossRef
[26] Zhao, Y. and Mao, J.J. (2016) New Type of Interval-Valued Intuitionistic Fuzzy Entropy and Its Application. Computer Engineering and Applications, 52, 85-89.
[27] Tiwari, P. and Gupta, P. (2019) Generalised Interval-Valued Intuitionistic Fuzzy Entropy with Some Similarity Measures. In-ternational Journal of Computing Science and Mathematics, 10, 488-512. [Google Scholar] [CrossRef
[28] Wang, Z., Li, K.W. and Wang, W. (2009) An Approach to Multiattribute Decision Making with Interval-Valued Intuitionistic Fuzzy Assessments and Incomplete Weights. Information Sciences, 179, 3026-3040. [Google Scholar] [CrossRef