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On Mean Value and Variance of Interval-Valued Fuzzy Numbers

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 299))

Abstract

In this paper we introduce an interval-valued mean for interval-valued fuzzy numbers. We also define a variance for interval-valued fuzzy numbers. We discuss some basic properties of the new concepts. The mean value and variance can be utilized as a ranking method for interval-valued fuzzy numbers.

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References

  1. Baguley, P., Page, T., Koliza, V., Maropoulos, P.: Time to market prediction using type-2 fuzzy sets. J. Manuf. Tech. Manage. 17, 513–520 (2006)

    Article  Google Scholar 

  2. Carlsson, C., Fullér, R.: Capital budgeting problems with fuzzy cash flows. Mathware Soft Comput. 6, 81–89 (1999)

    MATH  Google Scholar 

  3. Carlsson, C., Fullér, R.: On possibilistic mean value and variance of fuzzy numbers. Fuzzy Set. Syst. 122, 315–326 (2001)

    Article  MATH  Google Scholar 

  4. Carlsson, C., Fullér, R., Mezei, J.: Project Selection with Interval-Valued Fuzzy Numbers. In: Twelth IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2011, Budapest, Hungary, pp. 23–26 (November 2011)

    Google Scholar 

  5. Dubois, D., Prade, H.: The mean value of a fuzzy number. Fuzzy Set. Syst. 24, 279–300 (1987)

    Article  MathSciNet  MATH  Google Scholar 

  6. Dubois, D., Prade, H.: Interval-valued fuzzy sets, possibility theory and imprecise probability. In: Proceedings of The International Conference in Fuzzy Logic and Technology, Barcelona, Spain, pp. 314–319 (November 2005)

    Google Scholar 

  7. Dubois, D., Fargier, H., Fortin, J.: The empirical variance of a set of fuzzy intervals. In: Proceedings of the 2005 IEEE International Conference on Fuzzy Systems, Reno, USA, pp. 885–890 (May 2005)

    Google Scholar 

  8. Dubois, D.: Possibility theory and statistical reasoning. Comput. Stat. Data An. 51, 47–69 (2006)

    Article  MATH  Google Scholar 

  9. Fullér, R., Majlender, P.: On interactive fuzzy numbers. Fuzzy Set. Syst. 143, 355–369 (2003)

    Article  Google Scholar 

  10. Grzegorzewski, P.: Distances and Orderings in a Family of Intuitionistic Fuzzy Numbers. In: Proceedings of the of the Third International Conference in Fuzzy Logic and Technology, Eusflat 2003, Zittau, Germany, pp. 223–227 (September 2003)

    Google Scholar 

  11. Huarng, K., Yu, H.-K.: A type-2 fuzzy time series model for stock index forecasting. Physica A 353, 445–462 (2005)

    Article  Google Scholar 

  12. Kahraman, C., Ruan, D., Tolga, E.: Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Inform. Sciences 142, 57–76 (2002)

    Article  MATH  Google Scholar 

  13. Liu, B., Liu, Y.K.: Expected value of fuzzy variable and fuzzy expected value models. IEEE T. Fuzzy Syst. 10, 445–450 (2002)

    Article  Google Scholar 

  14. Mitchell, H.B.: Ranking type-2 fuzzy numbers. IEEE T. Fuzzy Syst. 14, 287–294 (2006)

    Article  Google Scholar 

  15. Ozen, T., Garibaldi, J.M.: Effect of type-2 fuzzy membership function shape on modelling variation in human decision making. In: Proceedings of Thee IEEE International Conference on Fuzzy Systems, Budapest, Hungary, pp. 971–976 (July 2004)

    Google Scholar 

  16. Wang, G., Li, X.: The applications of interval-valued fuzzy numbers and interval-distribution numbers. Fuzzy Set. Syst. 98, 331–335 (1998)

    Article  MATH  Google Scholar 

  17. Wang, S.-Y., Lee, C.-F.: A Fuzzy Real Option Valuation Approach To Capital Budgeting Under Uncertainty Environment. Int. J. Inform. Technol. Decis. Mak. 9, 695–713 (2010)

    Article  MATH  Google Scholar 

  18. Wang, X., Kerre, E.E.: Reasonable properties for the ordering of fuzzy quantities (I). Fuzzy Set. Syst. 118, 375–385 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  19. Wang, X., Kerre, E.E.: Reasonable properties for the ordering of fuzzy quantities (II). Fuzzy Set. Syst. 118, 387–405 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  20. Wu, D., Mendel, J.M.: A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets. Inform. Sciences 179, 1169–1192 (2009)

    Article  MathSciNet  Google Scholar 

  21. Yager, R.R.: Fuzzy subsets of type II in decisions. Cyber. Syst. 10, 137–159 (1980)

    Article  MathSciNet  Google Scholar 

  22. Yoshida, Y., Yasuda, M., Nakagami, J.-I., Kurano, M.: A new evaluation of mean value for fuzzy numbers and its application to American put option under uncertainty. Fuzzy Set. Syst. 157, 2614–2626 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  23. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning-I. Inform. Sciences 8, 199–249 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  24. Zhang, Q.-S., Jiang, S.-Y.: On Weighted Possibilistic Mean, Variance and Correlation of Interval-valued Fuzzy Numbers. Comm. Math. Res. 26, 105–118 (2010)

    MathSciNet  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Carlsson, C., Fullér, R., Mezei, J. (2012). On Mean Value and Variance of Interval-Valued Fuzzy Numbers. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 299. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31718-7_3

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  • DOI: https://doi.org/10.1007/978-3-642-31718-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31717-0

  • Online ISBN: 978-3-642-31718-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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