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A New Axiomatic Approach to Interval-Valued Entropy

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Fuzzy Techniques: Theory and Applications (IFSA/NAFIPS 2019 2019)

Abstract

In this work we propose a new definition of interval-valued entropy taking into account the width of the considered membership intervals. We build these new entropies by aggregating normal \(E_N\) functions.

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References

  1. Asiain, M.J., Bustince, H., Mesiar, R., Kolesárová, A., Takáč, Z.: Negations with respect to admissible orders in the interval-valued fuzzy set theory. IEEE Trans. Fuzzy Syst. 26, 556–568 (2018)

    Article  Google Scholar 

  2. Barrenechea, E., Bustince, H., De Baets, B., Lopez-Molina, C.: Construction of interval-valued fuzzy relations with application to the generation of fuzzy edge images. IEEE Trans. Fuzzy Syst. 19(5), 819–830 (2011)

    Article  Google Scholar 

  3. Barrenechea, E., Fernandez, J., Pagola, M., Chiclana, F., Bustince, H.: Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Appl. Decis. Making Knowl.-Based Syst. 58, 33–44 (2014)

    Article  Google Scholar 

  4. Bentkowska, U., Bustince, H., Jurio, A., Pagola, M., Pekala, B.: Decision making with an interval-valued fuzzy preference relation and admissible orders. Appl. Soft Comput. 35, 792–801 (2015)

    Article  Google Scholar 

  5. Burillo, P., Bustince, H.: Construction theorems for intuitionistic fuzzy sets. Fuzzy Sets Syst. 84, 271–281 (1996)

    Article  MathSciNet  Google Scholar 

  6. Bustince, H.: Indicator of inclusion grade for interval-valued fuzzy sets. Application to approximate reasoning based on interval-valued fuzzy sets. Int. J. Approximate Reasoning 23(3), 137–209 (2000)

    Article  MathSciNet  Google Scholar 

  7. Bustince, H., Barrenechea, E., Pagola, M.: Relationship between restricted dissimilarity functions, restricted equivalence functions and normal \(E_N\)-functions: image thresholding invariant. Pattern Recogn. Lett. 29(4), 525–536 (2008)

    Article  Google Scholar 

  8. Bustince, H., Barrenechea, E., Pagola, M., Fernández, J.: Interval-valued fuzzy sets constructed from matrices: application to edge detection. Fuzzy Sets Syst. 160, 1819–1840 (2009)

    Article  MathSciNet  Google Scholar 

  9. Bustince, H., Barrenechea, E., Pagola, M., Fernández, J., Xu, Z., Bedregal, B., Montero, J., Hagras, H., Herrera, F., De Baets, B.: A historical account of types of fuzzy sets and their relationship. IEEE Trans. Fuzzy Syst. 24(1), 179–194 (2016)

    Article  Google Scholar 

  10. Bustince, H., Fernandez, J., Kolesárová, A., Mesiar, R.: Generation of linear orders for intervals by means of aggregation functions. Fuzzy Sets Syst. 220, 69–77 (2013)

    Article  MathSciNet  Google Scholar 

  11. Bustince, H., Marco-Detchart, C., Fernandez, J., Wagner, C., Garibaldi, J., Takáč, Z.: Similarity between interval-valued fuzzy sets taking into account the width of the intervals and admissible orders. Fuzzy Sets Syst. (Submitted )

    Google Scholar 

  12. Castillo, O., Melin, P.: A review on interval type-2 fuzzy logic applications in intelligent control. Inf. Sci. 279, 615–631 (2014)

    Article  MathSciNet  Google Scholar 

  13. Cornelis, C., Deschrijver, G., Kerre, E.E.: Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application. Int. J. Approximate Reasoning 35(1), 55–95 (2004)

    Article  MathSciNet  Google Scholar 

  14. Choi, H.M., Mun, G.S., Ahn, J.Y.: A medical diagnosis based on interval-valued fuzzy sets. Biomed. Eng.-Appl. Basis Commun. 24(4), 349–354 (2012)

    Article  Google Scholar 

  15. Couto, P., Jurio, A., Varejao, A., Pagola, M., Bustince, H., Melo-Pinto, P.: An IVFS-based image segmentation methodology for rat gait analysis. Soft Comput. 15(10), 1937–1944 (2011)

    Article  Google Scholar 

  16. Jurio, A., Pagola, M., Mesiar, R., Beliakov, G., Bustince, H.: Image magnification using interval information. IEEE Trans. Image Process. 20(11), 3112–3123 (2011)

    Article  MathSciNet  Google Scholar 

  17. Sambuc, R.: Function phi-flous application a l’aide au diagnostic en pathologie thyroidienne. Ph.D. thesis, University of Marseille (1975)

    Google Scholar 

  18. Sanz, J.A., Fernández, A., Bustince, H., Herrera, F.: A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: degree of ignorance and lateral position. Int. J. Approximate Reasoning 52(6), 751–766 (2011)

    Article  Google Scholar 

  19. Sanz, J.A., Fernández, A., Bustince, H., Herrera, F.: Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning. Inf. Sci. 180(19), 3674–3685 (2010)

    Article  Google Scholar 

  20. Sanz, J.A., Fernandez, A., Bustince, H., Herrera, F.: IVTURS: a linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection. IEEE Trans. Fuzzy Syst. 21(3), 399–411 (2013)

    Article  Google Scholar 

  21. Wang, J., Guo, Q.: Ensemble interval-valued fuzzy cognitive maps. IEEE Access 6, 38356–38366 (2018)

    Article  Google Scholar 

  22. Xu, Z.S., Yager, R.R.: Some geometric aggregation operators based on intuitionistic fuzzy sets. Int. J. Gen. Syst. 35, 417–433 (2006)

    Article  MathSciNet  Google Scholar 

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Acknowledgments

This work has been suported by research project TIN2016-77356-P (AEI/UE,FEDER) of the Spanish Government and by Project VEGA 1/0614/18.

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Correspondence to Humberto Bustince .

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Bustince, H. et al. (2019). A New Axiomatic Approach to Interval-Valued Entropy. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_1

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