A Fuzzy Enabled Quantitative Model for Human Personality Assessment

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 personalities. It can easily be used in web portals to assess personalities automatically and thus offers greater ease and convenience in maintaining large personality inventories. Finally, since it is an extension of the standard MBTI, it is highly scalable. The theoretical foundation of FePAT is a mathematical model that converts the personalities into values that can be used to infer important conclusions regarding personality characteristics. Since it deals with values rather than verbal description, we can use well-known statistical methods to infer important relationships, which is not currently possible with existing techniques.Keywords:: PersonalityMBTIpersonality inventoriesfuzzy logic NotesThe work was carried out at ABV-IIITM Gwalior by the second author in a project under supervision of the first author during their integrated postgraduate program

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