Evaluation of the Convincing Ability through Presentation Skills of Pre-Service Management Wizards Using AI via T2 Linguistic Fuzzy Logic

Authors

  • Priyanka Dey School of Applied Science and Humanities, Haldia Institute of Technology, India
  • Dipak Kumar Jana School of Applied Science and Humanities, Haldia Institute of Technology, India

DOI:

https://doi.org/10.47852/bonviewJCCE2202158

Keywords:

evaluation methodologies, verbal- nonverbal communication, artificial intelligence, fuzzy, human-computer interface, education technology

Abstract

Convincing ability is one of the most desirable an attribute to be a successful management wizard in any field whether political, business or domestic. They require to present various facts in such convincing style strategically employing verbal as well as non-verbal communication that all being persuaded accede to their proposal and their goal is achieved very smoothly. Till date this presentation evaluation skill has been measured in various ways without emphasizing much on various style enhancing attributes. So in this present paper a communicative approach has been made proposing a model devised centering Interval Type-2 Fuzzy logic for evaluating the convincing ability of the presenter/communicator through the positive response from the affected audience conducting the study on a group of students budding to be masters in business administration. Here it has also been shown the advantage of the present evaluation procedure over the previously suggested methods.

 

Received: 15 January 2022 | Revised: 7 March 2022 | Accepted: 18 March 2022

 

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

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Published

2022-03-21

How to Cite

Dey, P., & Jana, D. K. (2022). Evaluation of the Convincing Ability through Presentation Skills of Pre-Service Management Wizards Using AI via T2 Linguistic Fuzzy Logic. Journal of Computational and Cognitive Engineering, 2(2), 133–142. https://doi.org/10.47852/bonviewJCCE2202158

Issue

Section

Research Articles