Design of Fuzzy Expert System for Selection of Candidates using the Theory of Multiple Intelligence

Kunjal Bharatkumar Mankad, Priti Srinivas Sajja


The paper presents design of fuzzy expert system in order to identify performance of a candidate for recruitment. In order to achieve this task, the paper has integrated two application areas: education and human resources management for recruiting efficient candidates. Every organization requires candidates who acquire excellent skills in different areas. At the same time; it is also necessary that candidates are to be classified, analyzed, evaluated and then recruited according to their skills. The main contribution of education is to extend problem solving skills in individuals. Problem solving abilities depends on several qualities like problem solving capabilities, decision making skills, intelligence, as well as positive attitude. Among all of them intelligence is one of the most crucial factor required for professional success. It is obvious that intelligence is genetically achieved by human beings as well as it can be enhanced with the help of education and technology. According to the Theory of Multiple Intelligence, human intelligence is not limited to one or two directions but there are several other equally important and valuable aspects of intelligences. In order to classify intelligence of candidates using The Theory of Multiple Intelligence, fuzzy expert system has been designed. Fuzzy Logic is utilized for representing knowledge and human reasoning in such a way that it is amenable to be processed with knowledge engineering and expert systems. The main objective of this paper is to predict the level of capabilities to work with real life problems using fuzzy expert system.


Keywords: Expert Systems (ES), Fuzzy Logic (FL), Fuzzy Expert Systems, Information and Communication Technology (ICT), Theory of Multiple Intelligence (MI)

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