A Fuzzy Based Inference System to Adjudge Career Preference
Kumaravel R1, Madhusoodhanan,P2, Jeremia, M.P3, Sakthivel .R4
1Kumaravel R,CDC,SRM IST, Kattankulathur, Chennai, Tamil Nadu,India.
2Madhusoodhanan P, Head, CDC, Assistant Professor, SRM IST, Kattankulathur, Chennai, Tamil Nadu, India.
3Jeremia M P,CDC,SRM IST, Kattankulathur, Chennai, Tamil Nadu, India.
4Sakthivel .R, SRM IST, Kattankulathur, Chennai, Tamil Nadu, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 05, 2019. | Manuscript published on August 30, 2019. | PP: 4299-4302 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8598088619/2019©BEIESP | DOI: 10.35940/ijeat.F8598.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: To evaluate students performance in choosing career opportunities at educational intuitions is a strenuous process. To guide students and to drive them towards their openings, they are tested on their study skills in the areas of aptitude, verbal and reasoning using Fuzzy Base Inference System (FBIS). Based on the performance a student can opt for placement, higher studies or appear for competitive exams. This paper provides a complete data of students performance by analyzing the concepts on the attributes of time taken and the number of questions attempted by student in aptitude and verbal components. Generally students performance is evaluated using statistical method but in this paper we use mathematical method to analyize the performance of students. Since this analysis include the performance of a student on the time taken in solving the problems. This method enables a student to understand the area in which he or she has to strengthen. FBIS gives us appropriate data on each parameter, thus help us give the student special attention in the specific area. As verbal, Quantitive Aptitude and Time taken in solving the questions is equally important in acquiring maximum score, FBIS plays a major role in enhancing the score level of the students. 
Keywords: Fuzzy logic, Performance, FBIS, Decision Making