Some Novel Similarity Measures of Hesitant Fuzzy Sets And Their Applications To MADM

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-9
Year of Publication : 2019
Authors : Xiaoqiang Zhou, Chunyong Wang , Zichuang Huang, Yameng Deng
DOI :  10.14445/22315381/IJETT-V67I9P205

Citation 

MLA Style: Xiaoqiang Zhou, Chunyong Wang , Zichuang Huang, Yameng Deng  "Some Novel Similarity Measures of Hesitant Fuzzy Sets And Their Applications To MADM" International Journal of Engineering Trends and Technology 67.9 (2019):31-37.

APA Style:Xiaoqiang Zhou, Chunyong Wang , Zichuang Huang, Yameng Deng. Some Novel Similarity Measures of Hesitant Fuzzy Sets And Their Applications To MADM  International Journal of Engineering Trends and Technology, 67(9),31-37.

Abstract
Similarity measure is a very important topic in fuzzy set theory. Torra proposed the notion of hesitant fuzzy set (HFS) which is a generalization of the notion of Zadeh’ fuzzy set. In this paper, a hesitant fuzzy quasi subset is first defined. Moreover, the modified axiom definitions of distance and similarity measures for HFSs are given and some novel distance and similarity measures for HFSs are developed. Based on the proposed similarity measures, a method of multiple attribute decision making (MADM) under hesitant fuzzy environment is established. Additionally, a numerical example is given to illustrate the application of the proposed similarity measures of HFSs in multiple attribute decision making.

Reference

[1] L. Zadeh, Fuzzy Sets. Information and Control, 8: 338-353, 1965.
[2] K. Atanassov, Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20: 87-96, 1986.
[3] W. Gau, D. Buehrer, Vague sets. IEEE Trans. Systems,Man and Cybernetics. 23: 610-614, 1993.
[4] K. Atanassov, G. Gargov, Interval valued intuitionistic fuzzy sets, Fuzzy Sets and Systems, 31: 343-349, 1989.
[5] L. Zadeh, The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences 8: 199-249, 1975.
[6] L. Zadeh, Similarity relations and fuzzy orderings. Information Science, 3: 177-200, 1971.
[7] J.Fan, W. Xie, Some notes on similarity measure and proximity measure. Fuzzy Sets and Systems, 101: 403-412, 1999.
[8] X. Liu, Entropy, distance measure and similarity measure of fuzzy sets and their relations, Fuzzy Sets and Systems, 52: 305-318, 1992.
[9] C. Pappis, N. Karacapilidis, A comparative assessment of measures of similarity of fuzzy values, Fuzzy Sets and Systems, 56: 171-174, 1993.
[10] W. Wang, New similarity measures on fuzzy sets and on elements, Fuzzy Sets and Systems, 85: 305-309, 1997.
[11] H. Liu, Multi-criteria deicision-making methods based on intuitionistic fuzzy sets, European Journal of Operational Research, 179: 220-233, 2007.
[12] S. Chen, Similarity measures between vague sets and between elements, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 27: 153-158, 1997.
[13] S. Chen, Measures of similarity between vague sets, Fuzzy Sets and Systems, 74: 217-223, 1995.
[14] W. Hung, M. Yang, Similarity measures of intuitionistic fuzzy sets based on Lp metric, International Journal of Approximate Reasoning, 46: 120-136, 2007.
[15] W. Hung, M. Yang, Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance, Pattern Recognition Letters, 25: 1603-1611, 2004.
[16] W. Hung, M. Yang, On similarity measures between intuitionistic fuzzy sets, International Journal of intelligent systems, 23: 364-383, 2008.
[17] W. Hung, Similarity measures between type-2 fuzzy sets, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 12: 827-841, 2004.
[18] D. Li, C. Cheng, New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions, Pattern Recognition Letters, 23: 221-225, 2002.
[19] Y. Li, D. Olson, Z. Qin, Similarity measures between intuitionistic fuzzy (vague) sets: a comparative analysis, Pattern Recognition Letters, 28: 278-285, 2007.
[20] Z. Liang, P. Shi, Similarity measures on intuitionistic fuzzy sets, Pattern Recognition Letters, 24: 2687-2693, 2003.
[21] Z. Xu, Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making, Fuzzy Optimization and Decision Making, 6: 109-121, 2007.
[22] M. Yang, D. Lin, On similarity and inclusion measures between type-2 fuzzy sets with an application to clustering. Computers & Mathematics with Applications, 57: 896-907, 2009.
[23] J. Ye Cosine similarity measures for intuitionistic fuzzy sets and their applications. Mathematical and Computer Modelling 53: 91-97, 2011.
[24] V. Torra, Hesitant fuzzy sets, International Journal of Intelligent Systems, 25: 529-539, 2010.
[25] V. Torra, Y. Narukawa, On hesitant fuzzy sets and decision, in: The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 2009, 1378-1382.
[26] M. Xia and Z. Xu, Hesitant fuzzy information aggregation in decision making, International Journal of Approximate Reasoning, 52, 395-407, 2011.
[27] R. Rodriguez, L. Martinez, F. Herrera, Hesitant fuzzy linguistic term sets for decision making, IEEE Transactions on Fuzzy Systems, 20: 109-119, 2012.
[28] G. Wei, Hesitant fuzzy prioritized operators and their application to multiple attribute decision making , Knowledge-Based Systems, 31: 176-182, 2012.
[29] N. Chen, Z. Xu, M. Xia, Correlation coefficients of hesitant fuzzy sets and their applications to clustering analysis, Applied Mathematical Modelling, 37(4): 2197-2211, 2013.
[30] M. Xia, Z. Xu, N. Chen, Some hesitant fuzzy aggregation operators with their application in group decision making, Group Decision and Negotiation, 22(2): 259-279, 2013.
[31] Z. Xu, M. Xia, Distance and similarity measures for hesitant fuzzy sets, Information Sciences, 181: 2128-2138, 2011.
[32] Z. Xu, M. Xia, On distance and correlation measures of hesitant fuzzy information, International Journal of Intelligent Systems, 26, 410-425, 2011.
[33] D. Yu, Y. Wu, W. Zhou, Multi-criteria decision Making based on Choquet integral under hesitant fuzzy environment, Journal of Computational Information Systems, 7: 4506-4513, 2011.
[34] Z. Xu, M. Xia, Hesitant fuzzy entropy and cross-Entropy and their use in multi-attribute decision-making, International Journal of Intelligent system, 27: 799-822, 2012.
[35] B. Zhu, Z. Xu, M. Xia, Hesitant fuzzy geometric Bonferroni means, Information Sciences, 205: 72-85, 2012.
[36] H.B. Mitchell, On the dengfeng-chuntian similarity measure and its application to pattern recognition, Pattern Recognition Letters 24, 3101-3104, 2003.

Keywords
Hesitant fuzzy set, Distance measure, Similarity measure, Multiple attribute decision making.