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On Pythagorean fuzzy soft matrices, operations and their applications in decision making and medical diagnosis

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Abstract

In the present communication, we introduce Pythagorean fuzzy soft matrix and its various possible types. Some binary operations and various properties over the matrices are also being defined with their proof of validity. Further, the Pythagorean fuzzy soft matrices have been taken into account for proposing a new algorithm for decision making by using choice matrix and weighted choice matrix. In addition to this, an algorithm for medical diagnosis problem by making use of score matrix and utility matrix has also been proposed. Numerical examples for each of the applications have been successfully illustrated. A comparative analysis with other existing methods has also been carried out.

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References

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96

    Article  MATH  Google Scholar 

  • Chen SM, Chang CH (2015) A novel similarity measure between Atanssovs intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition. Inf Sci 291:96–114

    Article  Google Scholar 

  • Chetia B, Das PK (2012) Some results of Intuitionistic fuzzy soft matrix theory. Adv Appl Sci Res 3:412–423

    Google Scholar 

  • Klement EP, Mesiar R, Pap E (2000) Triangular norms. Kluwer Academic Publishers, Dordrecht

    Book  MATH  Google Scholar 

  • Klement EP, Mesiar R, Pap E (2004) Triangular norms. Position paper I: basic analytical and algebraic properties. Fuzzy Sets Syst 143:5–26

    Article  MathSciNet  MATH  Google Scholar 

  • Maji PK, Biswas R, Roy AR (2001) Intuitionistic fuzzy soft sets. J Fuzzy Math 9:677–692

    MathSciNet  MATH  Google Scholar 

  • Maji PK, Biswas R, Roy AR (2002) An application of soft sets in a decision making problem. Comput Math Appl 44:1077–1083

    Article  MathSciNet  MATH  Google Scholar 

  • Maji PK, Biswas R, Roy AR (2003) Soft set theory. Comput Math Appl 45:555–562

    Article  MathSciNet  MATH  Google Scholar 

  • Mitchell HB (2013) On the Dengfeng–Chuntian similarity measure and its application to pattern recognition. Pattern Recogn Lett 24:3101–3104

    Article  Google Scholar 

  • Molodstov DA (1999) Soft set theory-first result. Comput Math Appl 27:19–31

    MathSciNet  Google Scholar 

  • Naim C, Serdar E (2010) Soft matrix theory and its decision making. Comput Math Appl 59:3308–3314

    Article  MathSciNet  MATH  Google Scholar 

  • Peng X, Yang Y, Song J, Jiang Y (2015) Pythagorean fuzzy soft set and its application. Comput Eng 41:224–229

    Google Scholar 

  • Peng X, Yuan H, Yang Y (2017) Pythagorean fuzzy information measures and their applications. Int J Intell Syst 32(10):991–1029

    Article  Google Scholar 

  • Szmidt E, Kacprzyk J (2004) A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning. In: International conference artificial intelligence and soft computing, Zakopane, Poland, pp 388–393

  • Wei CP, Wang P, Zhang YZ (2011) Entropy, similarity measure of interval-valued intuitionistic fuzzy sets and their applications. Inf Sci 181:4273–4286

    Article  MathSciNet  MATH  Google Scholar 

  • Yager RR (2013) Pythagorean fuzzy subsets. In: Proceedings of joint IFSA world congress and NAFIPS annual meeting, Edmonton, Canada, pp 57–61

  • Ye J (2011) Cosine similarity measures for intuitionistic fuzzy sets and their applications. Math Comput Model 53:91–97

    Article  MathSciNet  MATH  Google Scholar 

  • Yong Y, Chenli J (2011) Fuzzy soft matrices and their applications. Lect Notes Comput Sci 7002:618–627

    Article  Google Scholar 

Download references

Acknowledgements

We are very much thankful to the anonymous reviewers for suggesting the points/mistakes which have been well implemented/corrected for the necessary improvement of the manuscript. We sincerely acknowledge our deep sense of gratitude to the reviewers for giving their valuable time to the manuscript.

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Correspondence to Rakesh Kumar Bajaj.

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Communicated by V. Loia.

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Guleria, A., Bajaj, R.K. On Pythagorean fuzzy soft matrices, operations and their applications in decision making and medical diagnosis. Soft Comput 23, 7889–7900 (2019). https://doi.org/10.1007/s00500-018-3419-z

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