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A Fuzzy Regression Technique Through Same-Points in Fuzzy Geometry

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Mathematics and Computing (ICMC 2018)

Abstract

In this short article, a method to obtain a fuzzy regression curve for a set of imprecise locations is proposed. The given imprecise locations are presented by fuzzy points. The studied fuzzy regression curve is obtained with the help of a smooth regression technique for a set of precise locations. We observe the given imprecise points as a bunch of same points with varied membership values. For a set of same points, we obtain a smooth regression curve. The union of all these smooth regression curves, with different membership values, for the same points yields the proposed fuzzy regression curve. The method is demonstrated with a numerical example.

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References

  1. Geoffrey, S.W.: Smooth regression analysis, Sankhya, Series A (1961–2002), vol. 26, no. 4, pp. 359–372, December 1964

    Google Scholar 

  2. Chakraborty, D., Ghosh, D.: Analytical fuzzy plane geometry II. Fuzzy Sets Syst. 243, 84–110 (2014)

    Article  MathSciNet  Google Scholar 

  3. Ghosh, D., Chakraborty, D.: Analytical fuzzy plane geometry I. Fuzzy Sets Syst. 209, 66–83 (2012)

    Article  MathSciNet  Google Scholar 

  4. Ghosh, D., Chakraborty, D.: Analytical fuzzy plane geometry III. Fuzzy Sets Syst. 283, 83–107 (2016)

    Article  MathSciNet  Google Scholar 

  5. Ghosh, D., Chakraborty, D.: On general form of fuzzy lines and its application in fuzzy line fitting. J. Intell. Fuzzy Syst. 29, 659–671 (2015)

    Article  MathSciNet  Google Scholar 

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Acknowledgement

The first author gratefully acknowledges the financial support through Early Career Research Award (ECR/2015/000467), Science & Engineering Research Board, Government of India.

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Correspondence to Debdas Ghosh .

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Ghosh, D., Raushan, R., Somani, G. (2018). A Fuzzy Regression Technique Through Same-Points in Fuzzy Geometry. In: Ghosh, D., Giri, D., Mohapatra, R., Savas, E., Sakurai, K., Singh, L. (eds) Mathematics and Computing. ICMC 2018. Communications in Computer and Information Science, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-0023-3_21

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  • DOI: https://doi.org/10.1007/978-981-13-0023-3_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0022-6

  • Online ISBN: 978-981-13-0023-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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