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New Composition of Intuitionistic Fuzzy Relations

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 244))

Abstract

Fuzzy relations have applications in fields such as psychology, medicine, economics, and sociology. Burillo and Bustince introduced the concepts of intuitionistic fuzzy relation and a composition of intuitionistic fuzzy relations using four triangular norms or conorms α, β, λ, ρ (we abbreviate to α, β, λ, ρ-composition). In this paper, we define a new composition of intuitionistic fuzzy relations using two intuitionistic fuzzy triangular norms or intuitionistic fuzzy triangular conorms (Φ, Ψ-composition for short). It is shown that α, β, λ, ρ-composition is special case of Φ, Ψ-composition. Many properties of Φ, Ψ-composition are stated and proved.

This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 102.01-2012.14.

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References

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

    Article  MathSciNet  MATH  Google Scholar 

  2. Atanassov, K.T., Stoeva, S.: Intuitionistic Lfuzzy sets. Cybernetics and Systems Research 2, 539–540 (1984)

    Google Scholar 

  3. Baets, B., De, K.E.E.: Fuzzy relations and applications. Adv. Electron. Electron. Phys. 89, 255–324 (1994)

    Article  Google Scholar 

  4. Burillo, P., Bustince, H.: Intuitionistic Fuzzy Relations. Part I, Mathware and Soft Computing 2(1), 5–38 (1995)

    MathSciNet  MATH  Google Scholar 

  5. Chen, S., Chen, H., Duro, R., Honaver, V., Kerre, E., Lu, M., Romay, M.G., Shih, T.K., Ventura, D., Wang, P.P., Yang, Y.: Proceedings of the 6th Joint Conference on Information Sciences, pp. 105–108 (2002)

    Google Scholar 

  6. Deschrijver, G., Cornelis, C., Kerre, E.E.: On the representation of intuitionistic fuzzy t-norms and t-conorms. IEEE Trans. Fuzzy Systems 12, 45–61 (2004)

    Article  Google Scholar 

  7. Deschrijver, G., Kerre, E.E.: On the relationship between some extensions of fuzzy set theory. Fuzzy Sets and Systems 133(2), 227–235 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  8. De, S.K., Biswas, R., Roy, A.R.: An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets and Systems 117, 209–213 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  9. Fung, L.W., Fu, K.S.: An axiomatic approach to rational decision making in fuzzy environment. In: Zadeh, L.A., Fu, K.S., Tanaka, K., Shimura, M. (eds.) Fuzzy Sets and their Applications to Cognitive and Decision Processes, pp. 227–256. Academic Press (1975)

    Google Scholar 

  10. Goguen, J.: L-fuzzy sets. J. Math. Anal. Appl. 18, 145–174 (1967)

    Article  MathSciNet  MATH  Google Scholar 

  11. Sanchez, E.: Solutions in composite fuzzy relation equation. Application to Medical diagnosis in Brouwerian Logic. In: Gupta, M.M., Saridis, G.N., Gaines, B.R. (eds.) Fuzzy Automata and Decision Process. Elsevier, North-Holland (1977)

    Google Scholar 

  12. Sanchez, E.: Resolution of composition fuzzy relation equations. Inform. Control 30, 38–48 (1976)

    Article  MATH  Google Scholar 

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Correspondence to Bui Cong Cuong .

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© 2014 Springer International Publishing Switzerland

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Cuong, B.C., Phong, P.H. (2014). New Composition of Intuitionistic Fuzzy Relations. In: Huynh, V., Denoeux, T., Tran, D., Le, A., Pham, S. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-02741-8_12

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  • DOI: https://doi.org/10.1007/978-3-319-02741-8_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02740-1

  • Online ISBN: 978-3-319-02741-8

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