Design a fuzzy inference system to identify talented faculty members

The present research is applied in terms of purpose and descriptive-survey method. Due to the research gap in the field of identifying talented people in previous researches, the present study has been compiled with the aim of identifying talented faculty members. For this purpose, two variables of Performance (Educational and Research) and Potential (Ability,& Aspirations and Engagement) of faculty members have been used. The statistical population of the present study is 350 faculty members of Mazandaran University who have been selected as a sample using purposive sampling method of 110 faculty members. Data related to educational performance have been prepared in cooperation with the Office of Supervision of Evaluation and Supervision, Quality Assurance and data related to research performance in cooperation with the Vice Chancellor for Research. To evaluate the ability of faculty members, the evaluation form of the CEB model(2005) and also to evaluate job aspirations and job engagement, two standard questionnaires, Nadi et al (2010) and Shuffle et al(2006) were used, respectively. The content validity of the questionnaires by experts and the reliability of the questionnaire is job aspirations (81.8) and job interaction(91.9). After initial clustering on the data, a fuzzy inference system with two inputs (performance and potential) and one output (Talent) is defined at five levels. The results show that most of the faculty members are 42.72% in the "intermediate" section. Also, 11.82% were in the "very low" section, 16.37% in the "low" section, 25.45% in the "high" section and 3.64% in the "very high" section