COSINE ENTROPY AND SIMILARITY MEASURES FOR FUZZY SETS

Year 2015, Volume: 3 Issue: 1, 83 - 93, 01.04.2015

Rajkumar Verma

Abstract

In the present paper, based on the cosine function, a new fuzzy entropy measure is de ned. Some interesting properties of this measure are analyzed. Furthermore, a new fuzzy similarity measure has been proposed with its elegant properties. A relation between the proposed fuzzy entropy and fuzzy similarity measure has also been proved.

Keywords

entropy, fuzzy sets, fuzzy entropy, fuzzy similarity

References

• [1] D. Bhandari and N.R. Pal, Some new information measures for fuzzy sets, Information Sci- ences Vol: 67, No.2 (1993), 204-228.
• [2] S.M. Chen, S.M. Yeh and P.H. Hsiao, A comparison of similarity measures of fuzzy values, Fuzzy Sets and Systems, Fuzzy Sets and Systems Vol: 72, No.1 (1995), 79-89.
• [3] A. De Luca and S. Termini, A denition of non-probabilistic entropy in the setting of fuzzy set theory, Information and Control Vol: 20, No.4 (1972), 301-312.
• [4] J. Fan and W. Xie, Some notes on similarity measure and proximity measure, Fuzzy Sets and Systems Vol: 101, No.3 (1999), 403-412.
• [5] Kaufmann,A., Introduction to the Theory of Fuzzy Subsets, Academic Press, New York, 1975.
• [6] X. Liu, Entropy, distance measure and similarity measure of fuzzy sets and their relations, Fuzzy Sets and Systems Vol: 52, No.3 (1992), 305-318.
• [7] N.R. Pal and S.K. Pal, Object background segmentation using new denitions of IEEE Pro- ceedings E- Computers and Digital Techniques Vol: 366,(1989), 284-318.
• [8] C.P. Pappis and N.I. Karacapilidis, A comparative assessment of measures of similarity of fuzzy values, Fuzzy Sets and Systems Vol: 56, No.2 (1993), 171-174.
• [9] O. Prakash, P.K. Sharma and R. Mahajan, New measures of weighted fuzzy entropy and their applications for the study of maximum weighted fuzzy entropy principle, Information Sciences Vol: 178, No.11 (2008), 2839-2395.
• [10] C.E. Shannon, A mathematical theory of communication, Bell System Technical Journal Vol: 27, (1948), 379-423,623-656.
• [11] G. Salton and M.J. McGrill, Introduction to Modern Information Retrieval, McGraw {Hill Book Company, New York, (1983).
• [12] R. Verma and B.D. Sharma, On generalized exponential fuzzy entropy, World Academy of Science, Engineering and Technology Vol: 60, (2011), 1402-1405.
• [13] Wang, P.Z., Theory of Fuzzy Sets and their Applications, Shanghai Science and Technology Publishing House, Shanghai, 1982.
• [14] W.J. Wang, New similarity measures on fuzzy sets and on elements, Fuzzy Sets Systems Vol: 85, No.3 (1997), 305-309.
• [15] R.R. Yager, On the measure of fuzziness and negation Part-I membership degree in the unit interval, International Journal of General Systems Vol: 5, No.4 (1979), 221-229.
• [16] R.R. Yager, Entropy and specicity in a mathematical theory of evidence, International Journal of General Systems Vol: 9, No.4 (1983), 249-260.
• [17] R.R. Yager, Measures of entropy and fuzziness related to aggregation operators, Information Sciences Vol: 82, No.3-4 (1983), 147-166.
• [18] R.R. Yager, On the entropy of fuzzy measures, IEEE Transactions on Fuzzy Systems Vol: 8, No.4 (2000), 453-461.
• [19] L.A. Zadeh, Fuzzy Sets, Information and Control Vol: 8, No.3 (1965), 338-353.
• [20] L.A. Zadeh, Probability measure of fuzzy events, Journal of Mathematical Analysis and Applications Vol: 23, No.2 (1968), 421-427.
• [21] R. Zwick, E. Carlstein and D.V. Budesco, Measures of similarity amongst fuzzy concepts: A comparative analysis, International Journal of Approximate Reasoning Vol: 1, No.2 (1987), 221-242.