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Abhishek Vaid

Datos Biográficos

ID215215
NOMBREAbhishek Vaid
NOMBRESAbhishek
APELLIDOVaid
FIRMAVAID A
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2014
AÑO MÁS RECIENTE DE PUBLICACIÓN2014
ÍNDICE H0
  • A Fuzzy Enabled Quantitative Model for Human Personality Assessment

    Joydip Dhar, Abhishek Vaid•ARTICLE•Journal of Human Behavior in the…•2014•Referencias: 6

    In this article, we propose a new technique to mitigate personality assessment problems and we named the technique Fuzzy Enabled Personality Assessment Technique (FePAT). Our technique extends and improves the scope and usage of the standard Myers Briggs Type Indicator (MBTI) assessment technique. FePAT can also be applied to assess the personalities of large samples and offers great scope of comparison between individuals based on their personal…

Sin obras prominentes en esta página.

  • A Fuzzy Enabled Quantitative Model for Human Personality Assessment

    Joydip Dhar, Abhishek Vaid•ARTICLE•Journal of Human Behavior in the…•2014•Referencias: 6

    In this article, we propose a new technique to mitigate personality assessment problems and we named the technique Fuzzy Enabled Personality Assessment Technique (FePAT). Our technique extends and improves the scope and usage of the standard Myers Briggs Type Indicator (MBTI) assessment technique. FePAT can also be applied to assess the personalities of large samples and offers great scope of comparison between individuals based on their personal…

Applied Psychology (1 obra) · Artificial Intelligence (1 obra) · Cognitive Computing and Networks (1 obra) · Computer Science (1 obra) · Fuzzy logic (1 obra) · Intelligent Tutoring Systems and Adaptive Learning (1 obra) · Personality (1 obra) · Psychology (1 obra) · Social Psychology (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae