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Skill Set Development Model and Deficiency Diagnosis Measurement Using Fuzzy Logic

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Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 515))

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Abstract

A skill set is the ability of performing a particular job. Skill set is acquired by improving the psychomotor domain of the human being. Deficiencies in skills need to be measured and addressed. This may improve the level of skill and reduce deficiency. Deficiency diagnosis is a process of identification of the skills that are lacking in any learner. In this research work, authors have proposed a model that identifies the various deficiencies of a learner.

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Authors and Affiliations

  1. National Institute of Technical Teachers’ Training and Research, Kolkata, India

    Smita Banerjee & Rajeev Chatterjee

Authors
  1. Smita Banerjee
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  2. Rajeev Chatterjee
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Corresponding author

Correspondence to Smita Banerjee .

Editor information

Editors and Affiliations

  1. ANITS, Prof., Comp. Sci. & Engg. Dept. ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg Dept. of ECE, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  4. KIIT University, School of Computer Engineering KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2017 Springer Nature Singapore Pte Ltd.

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Banerjee, S., Chatterjee, R. (2017). Skill Set Development Model and Deficiency Diagnosis Measurement Using Fuzzy Logic. In: Satapathy, S., Bhateja, V., Udgata, S., Pattnaik, P. (eds) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications . Advances in Intelligent Systems and Computing, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-10-3153-3_44

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  • DOI: https://doi.org/10.1007/978-981-10-3153-3_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3152-6

  • Online ISBN: 978-981-10-3153-3

  • eBook Packages: EngineeringEngineering (R0)

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