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Graded Intuitionistic Fuzzy Convexity with Application to Fuzzy Decision Making

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Advances in Information Technology and Industry Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 136))

Abstract

A new concept of graded convex intuitionistic fuzzy set is proposed and treated in the paper. It is an extension of convex intuitionistic fuzzy set in which two real numbers are taken as the degree to which an intuitionistic fuzzy set is convex, strictly convex, we define the notions of graded convex intuitionistic fuzzy set and graded strictly convex intuitionistic fuzzy set based on t-norms. Some graded properties are also presented. Finally, we discuss the applications of graded convex intuitionistic fuzzy sets to intuitionistic fuzzy decision making.

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References

  1. Atanassov, K.T.: Intuitionistic Fuzzy Sets. In: Sgurev, V. (ed.): VII ITKR’s Session, Sofia, June 1983. Central Sci. and Techn. Library, Bulgaria Academy of Sciences (1984)

    Google Scholar 

  2. Zhou, L., Wu, W.Z., Zhang, W.X.: On characterization of intuitionistic fuzzy rough sets based on intuitionistic fuzzy implicators. Information Sciences 179(7), 883–898 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  3. Castiñeira, E.E., Cubillo, S., Montilla, W.: Measuring incompatibility between Atanassov’s intuitionistic fuzzy sets. Information Sciences 180(6), 820–833 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  4. Nayagam, V.L.G., Muralikrishnan, S., Sivaraman, G.: Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets. Expert System with Applications 38(3), 1464–1467 (2011)

    Article  Google Scholar 

  5. Zadeh, L.A.: Fuzzy Sets. Inform. and Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  6. Nourouzi, K., Aghajani, A.: Convexity in triangular norm of fuzzy sets. Chaos, Solitons and Fractals 36, 883–889 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  7. Peng, Z.-Y., Long, X.-J., Lin, Z.: Some New Properties of Strongly Convex Fuzzy Sets. In: Cao, B., Li, T.-F., Zhang, C.-Y. (eds.) Fuzzy Information and Engineering Volume 2. AISC, vol. 62, pp. 687–693. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  8. Yuan, X.H., Lee, E.S.: The definition of convex fuzzy subset. Computers and Mathematics with Applications 47, 101–113 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  9. Tahayori, H., Tettamanzi, G.B., Antoni, G.D., Visconti, A.: On the calculation of extended max and min operations between convex fuzzy sets of the real line. Fuzzy Sets and Systems 160(21), 3103–3114 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  10. Tahayori, H., Tettamanzi, G.B., Antoni, G.D., Visconti, A.: On the calculation of extended max and min operations between convex fuzzy sets of the real line. Fuzzy Sets and Systems 160(21), 3103–3114 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  11. Cheng, Z., Panzi, X., Sen, W., Xiaozhen, L. (s,t]-Intuitionistic Convex Fuzzy Sets. In: Cao, B.-y., Wang, G.-J., Guo, S.-z., Chen, S.-l. (eds.) Fuzzy Information and Engineering 2010. AISC, vol. 78, pp. 75–84. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  12. Atanassov, K.T.: Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems 20, 87–96 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  13. Chaudhuri, B.B.: Concave fuzzy sets: a concept complementary to the convex fuzzy set. Pattern Recognition Lett. 13, 103–106 (1992)

    Article  Google Scholar 

  14. Klement, P.E., Mesiar, R.: Triangular Norms. Tatra Mt. Math. Publ. 13, 169–193 (1997)

    MathSciNet  MATH  Google Scholar 

  15. Yuan, X.H., Li, H.X., Sun, K.B.: The Cut Sets, Decomposition Theorems and Representation Theorems on Intuitionistic Fuzzy Sets and Interval-valued Fuzzy Sets. Science in China Series F: Information Science 39(9), 933–945 (2009) (in Chinese)

    Google Scholar 

  16. Janiš, V.: t-Norm Based Cuts of Intuitionistic Fuzzy Sets. Information Sciences 180, 1134–1137 (2010)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Xiaodong Pan .

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Pan, X. (2012). Graded Intuitionistic Fuzzy Convexity with Application to Fuzzy Decision Making. In: Zeng, D. (eds) Advances in Information Technology and Industry Applications. Lecture Notes in Electrical Engineering, vol 136. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-26001-8_90

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  • DOI: https://doi.org/10.1007/978-3-642-26001-8_90

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-26000-1

  • Online ISBN: 978-3-642-26001-8

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