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A new similarity measure for generalized fuzzy numbers

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Abstract

In this paper, first of all the distance measure entitled generalized Hausdorff distance is defined between two trapezoidal generalized fuzzy numbers that has been introduced by Chen [9]. Then using a other distance and combining with generalized Hausdorff distance, the similarity measure is defined. The basic properties of the above-mentioned similarity measure are proved in detail. Finally, the concept is illustrated by solving several testing examples.

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References

  1. Abbasbandy S, Hajjari T (2009) A new approach for ranking of trapezoidal fuzzy numbers. Comput Math Appl 57:413–419

    Article  MathSciNet  MATH  Google Scholar 

  2. Abbasbandy S, Hajighasemi S (2010) A fuzzy distance between two fuzzy numbers. IPUM 2010, Part II, CCIS 81:376–382

    Google Scholar 

  3. Allahviranloo T, Abbasbandy S, Saneifard S (2011) A method for ranking of fuzzy numbers using new weighted distance. Math Comput Appl 16(2):359–369

    MathSciNet  Google Scholar 

  4. Allahviranloo T, Abbasbandy S, Saneifard S (2011) An approximation approach for ranking of fuzzy numbers with weighted interval-value. Math Comput Appl 16(3):588–597

    MathSciNet  MATH  Google Scholar 

  5. Bosteels K, Kerre EE (2007) A biparametric family of cardinality-based fuzzy similarity measures. New Math Nat Comput 3:307–319

    Google Scholar 

  6. Bosteels K, Kerre E (2007) A triparametric family of cardinality-based fuzzy similarity measures. Fuzzy Sets Syst 158:2466–2479

    Article  MathSciNet  MATH  Google Scholar 

  7. Chakraborty C, Chakraborty D (2006) A theoretical development on a fuzzy distance measure for fuzzy numbers. Math Comput Model 43:254–261

    Article  MATH  Google Scholar 

  8. Chakraborty G, Chakraborty D (2010) A new approach to fuzzy distance measure and similarity measure between two generalized fuzzy numbers. Appl Soft Comput 10:90–99

    Article  Google Scholar 

  9. Chen SH (1999) Ranking generalized fuzzy numbers with graded mean integration. In: Proceedings of the 8th international fuzzy systems sssociation world congress, vol 2, pp 899–902

  10. Chen SM (1996) New methods for sobjective mental workload assessment and fuzzy risk analysis. Cybren Syst 27:449–472

    Article  MATH  Google Scholar 

  11. Chen SJ, Chen SM (2003) Fuzzy risk analysis based on similarity measures of generelized fuzzy numbers. IEEE Transact Fuzzy Syst 114:1–9

    Article  Google Scholar 

  12. Ezzati R, Allahviranloo T, Khezerloo S, Khezerloo M (2012) An approach for ranking of fuzzy numbers. Expert Syst Appl 39:690–695

    Article  Google Scholar 

  13. Lee HS (1999) An optimal aggregation method for fuzzy opinions of group decision. Proc IEEE Int Conf Syst Man Cybern 3:314–319

    Google Scholar 

  14. Voxman W (1998) Some remarks on distances between fuzzy numbers. Fuzzy Sets Syst 100:353–365

    Article  MathSciNet  MATH  Google Scholar 

  15. Yong D, Wenkang SH, Feng D, Qi L (2004) A new similarity measure of generalized fuzzy numbers and its application to pattern recognition. Pattern Recogn Lett 25:875–883

    Article  Google Scholar 

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Correspondence to T. Allahviranloo.

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Allahviranloo, T., Abbasbandy, S. & Hajighasemi, S. A new similarity measure for generalized fuzzy numbers. Neural Comput & Applic 21 (Suppl 1), 289–294 (2012). https://doi.org/10.1007/s00521-012-0836-2

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  • DOI: https://doi.org/10.1007/s00521-012-0836-2

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