Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Abhishek Vaid

Biographic Data

ID215215
NAMEAbhishek Vaid
GIVEN NAMESAbhishek
FAMILY NAMEVaid
SIGNATUREVAID A
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2014
H-INDEX0
  • A Fuzzy Enabled Quantitative Model for Human Personality Assessment

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

No prominent works on this page.

  • A Fuzzy Enabled Quantitative Model for Human Personality Assessment

    Joydip Dhar, Abhishek Vaid•ARTICLE•Journal of Human Behavior in the…•2014•References: 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 work) · Artificial Intelligence (1 work) · Cognitive Computing and Networks (1 work) · Computer Science (1 work) · Fuzzy logic (1 work) · Intelligent Tutoring Systems and Adaptive Learning (1 work) · Personality (1 work) · Psychology (1 work) · Social Psychology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae