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A Review on Role of Fuzzy Logic in Psychology

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 437))

Abstract

The process of medical diagnosis, like many other fields, has to pass through various stages of uncertainty, especially in cases where the data is mostly available in linguistic format. Under such circumstances of vague data, application of fuzzy logic concepts can play an important role in extracting approximate information which in turn may help in reaching to a particular diagnosis. This study is devoted to the application of fuzzy logic in the psychological domain. The paper provides a detailed literature review on the use of fuzzy logic rules in analyzing the different aspects of psychological behavior of human beings. Further, it also provides some suggestions to make the system more effective.

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Authors and Affiliations

  1. RKGIT, Ghaziabad, India

    Shilpa Srivastava

  2. IIT Roorkee, Saharanpur Campus, Roorkee, India

    Millie Pant

  3. NIFM, Faridabad, India

    Namrata Agarwal

Authors
  1. Shilpa Srivastava
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  2. Millie Pant
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  3. Namrata Agarwal
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Corresponding author

Correspondence to Shilpa Srivastava .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Dept of Mathematics, South Asian University New Delhi, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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Shilpa Srivastava, Pant, M., Namrata Agarwal (2016). A Review on Role of Fuzzy Logic in Psychology. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 437. Springer, Singapore. https://doi.org/10.1007/978-981-10-0451-3_70

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