Estimating the Employment Opportunity of Engineering Students with the Aid of Fuzzy Logic Controller

## Estimating the Employment Opportunity of Engineering Students with the Aid of Fuzzy Logic Controller

Volume-70 Issue-3
Year of Publication : 2022
Authors : Shitalkumar A Rawandale, Vijay N Kalbande, Arvind Bodhe, Ujjwala Rawandale, Ratna Patil
https://doi.org/10.14445/22315381/IJETT-V70I3P236

How to Cite?

Shitalkumar A Rawandale, Vijay N Kalbande, Arvind Bodhe, Ujjwala Rawandale, Ratna Patil, "Estimating the Employment Opportunity of Engineering Students with the Aid of Fuzzy Logic Controller," International Journal of Engineering Trends and Technology, vol. 70, no. 3, pp. 319-326, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I3P236

Abstract
The point of this exploration work exhibits a classification technique for analyzing engineering student`s employment opportunities. From the given 60 attributes, take 46 attributes as inputs. In view of this input data, we design the fuzzy logic system. This design is utilized for finding the employment opportunity potential score of particular individuals. Based on these 46 attributes, generate the rule as low and high. At that point, we need to take the count of low and high; after analyzing the count, find the output level (low, medium, high). In the outcome, three diverse membership functions such as trapezoidal, Gaussian and triangle have been designed. In this three-membership function, we explore diverse designing and validation points (50-50, 60-40, 70-30 and 80-20). The sensitivity value for the triangle is 76%, the specificity value for the triangle is 93%, and the accuracy value for a triangle is 89%. From this, the triangle membership function is enhanced contrasted with other membership functions.

Keywords
Accuracy, Engineering Employment, Fuzzy Logic System, Sensitivity, Skills.

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