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Moderator Intuitionistic Fuzzy Sets and Application in Medical Diagnosis

  • Bhagawati Prasad Joshi
  • Pushpendra Singh Kharayat
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 380)

Abstract

The notion of intuitionistic fuzzy sets (IFSs) helps to an observer to incorporate the hesitancy value in the degree of membership function. The hesitancy factor comes from his basic knowledge, past experience, situation, depth of the standard terminologies, and many more characteristics; so the degree of membership function involved uncertainty under IFSs. Hence, the uncertainty included with an observer in the choice of membership grade under IFSs needs to be further improved by a moderator parameter to make the uncertain behavior more accurate. This can be done by introducing the concept of moderator intuitionistic fuzzy set (MIFS) as a generalization of IFSs. Furthermore, some properties and operators are defined over MIFSs similar to IFSs. Finally, a real-life problem of medical diagnosis is considered to apply the proposed approach effectively.

Keywords

Intuitionistic fuzzy sets Accuracy function Score function Medical diagnosis 

Notes

Acknowledgments

The authors are very thankful to the Director, Seemant Institute of Technology, Pithoragarh, India for his kind support and proper guidance.

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Copyright information

© Springer India 2016

Authors and Affiliations

  • Bhagawati Prasad Joshi
    • 1
  • Pushpendra Singh Kharayat
    • 1
  1. 1.Seemant Institute of TechnologyPithoragarhIndia

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