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Decision Making Using Fuzzy Soft Set Inference System

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Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 49))

Abstract

Soft set theory has brought with it various modified versions of machine learning techniques. One such is fuzzy soft set theory. The paper discusses certain problem solving and decision making approaches available in this concept. We also propose fuzzy soft inference system in line with fuzzy inference system. Defuzzification of parameterized fuzzy soft sets is also discussed.

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References

  1. Molodtsov, D.: Soft set theory first results. Comput. Math. Appl. 37:19 (1999)

    Google Scholar 

  2. Cagman, N., et al.: Fuzzy parameterized fuzzy soft set theory and its applications. Turk. J. Fuzzy Syst. 1(1):21 (2010)

    Google Scholar 

  3. Cagman, N., et al.: Soft matrix theory and its decision making. Comput. Math. Appl. 59:3308 (2010)

    Google Scholar 

  4. Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3):338

    Google Scholar 

  5. Maji, P.K., et al.: Soft set theory. Comput. Math. Appl. 45:555 (2003)

    Google Scholar 

  6. Cagman, N., et al.: Fuzzy soft et theory and its applications. Iran. J. Fuzzy Syst. 8(3):137 (2011)

    Google Scholar 

  7. Neog, T.J., et al.: Some new operations of fuzzy soft sets. J. Math. Comput. Sci. 2(5):1186 (2012)

    Google Scholar 

  8. Bora, M., et al.: Some new operations of intuitionistic fuzzy soft sets. Int. J. Soft Comput. Eng. (IJSCE). 2(4):2231 (2012)

    Google Scholar 

  9. Roy, A.R., et al.: A fuzzy soft set theoretic approach to decision making problems. J. Comput. Appl. Math. 203:540 (2007)

    Google Scholar 

  10. Chaudhuri, A., et al.: Solution of the decision making problems using fuzzy soft relations, CoRR (2013). http://arxiv.org/abs/1304.7238

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Author information

Authors and Affiliations

  1. School of Information Technology and Engineering (SITE), VIT University, Vellore, TN, India

    U. Chandrasekhar & Saurabh Mathur

Authors
  1. U. Chandrasekhar
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  2. Saurabh Mathur
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Corresponding author

Correspondence to U. Chandrasekhar .

Editor information

Editors and Affiliations

  1. School of Computing Sciences, VIT University, Chennai, India

    V. Vijayakumar

  2. School of Computing Sciences, VIT University, Chennai, India

    V. Neelanarayanan

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© 2016 Springer International Publishing Switzerland

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Chandrasekhar, U., Mathur, S. (2016). Decision Making Using Fuzzy Soft Set Inference System. In: Vijayakumar, V., Neelanarayanan, V. (eds) Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’). Smart Innovation, Systems and Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-30348-2_37

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  • DOI: https://doi.org/10.1007/978-3-319-30348-2_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30347-5

  • Online ISBN: 978-3-319-30348-2

  • eBook Packages: EngineeringEngineering (R0)

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