Open Access Open Access  Restricted Access Subscription or Fee Access

Fuzzy Inference System for Performance Analysis of Aspiring Research Students

Raja M, Deneshkumar V., K. Senthamarai Kannan

Abstract


Abstract

Research play a very important role in the growth of any university. Number of research performs in an institute affects the rating of an institute. In this paper, we have discussed a new evaluation method is described to measures the performance of analysis of aspiring research students based on Fuzzy Inference systems and results are compared with the classical method. Through using Fuzzy logic approaches, we evaluate the research students’ performance. A suitable fuzzy inference mechanism and associated rule has been discussed. By using suitable fuzzy logic and implementing its principle, we evaluate the performance of researchers.

Keywords:Fuzzy Logic, FIS, Performance, and Membership Function.

 

Cite this Article

 

Raja M., Deneshkumar V., K. Senthamarai Kannan. Fuzzy Inference System for Performance Analysis of Aspiring Research Students. Journal of Electronic Design Technology. 2017; 8(3): 12–16p.



Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Journal of Electronic Design Technology