Overall Performance Evaluation of Engineering Students Using Fuzzy Logic

Surya, Arya A; kurian, Merin k; Varghese, Surekha Mariam

doi:10.5121/ijci.2016.5208

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…The comparison between classical and fuzzy evaluation indicated that only in thesis 4 there is no difference between two levels of evaluation. More important, 96.15% of master theses obtained higher classical mark, similar to results obtained in Kharola et al (2015), Guruprasad et al (2016) and Surya et al (2016) who found higher classical mark in faculty performance evaluation. The advantage of a fuzzy approach is a possibility of modelling the level of severity of evaluation criteria by changing fuzzy methodology.…”

Section: Resultssupporting

confidence: 88%

“…Contemporary studies are also oriented to evaluation of students' performance (Kharola et al, 2015;Surya et al, 2016;Varghese et al, 2017), faculty teachers' work (Pavlović, 2016) and general evaluation practices (Du Prel et al, 2009). It is important to note that main obstacles students are facing with in the process of preparing and writing master theses are the definition of research objectives, the methodology of data analysis and the argumentation of obtained data (results).…”

Section: Introductionmentioning

confidence: 99%

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The Evaluation of Master Theses in MATLAB Software Tool: Fuzzy Approach Makes Sense

Hajder

2018

AGR

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The aim of conducted investigation was to evaluate defined objectives, presented materials and methods and interpretation of results in student’s master theses in order to assess their scientific contribution. Firstly, evaluation was performed by using the traditional methodology and fuzzy evaluation was then conducted in a Fuzzy Logic Toolbox. Obtained values from two levels of evaluation were generally compared. Results indicate that fulfilment of defined criteria of evaluation is moderate. Evaluation mark in classical approach was higher in most cases but fuzzy approach showed some advantages. The criteria fulfilment for the logical-mathematical argumentation, as a prerequisite for the analysis of scientific results, showed its paramount importance in the process of classical and fuzzy evaluation as well.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

The Evaluation of Master Theses in MATLAB Software Tool: Fuzzy Approach Makes Sense

Hajder

2018

AGR

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“…Guruprasad et al (2016) obtained higher classical (statistical) value in 90.91% of cases (or 10 out of 11 cases) in faculty performance evaluation. Based on theory, laboratory and project data (Surya et al, 2016) student performance was higher in all nine cases, by using classical methodology.…”

Section: Tab 3 Comparison Between Classical and Defuzzification Marmentioning

confidence: 90%

“…The fuzzy evaluation of teachers' academic performance (Chaudhari et al, 2012) and faculty performance as well is also investigated (Guruprasad, et al, 2016;Jyothi et al, 2014). New studies are still oriented to evaluation of students' performance by a fuzzy logic (Kharola et al, 2015;Surya et al, 2016;Varghese et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Classical and Fuzzy Logic Evaluation of Students' Master Theses in Matlab Fuzzy Logic Toolbox Software: Dealing with Subjectivity in Human Reasoning

Hajder

Mićić

2018

AGR

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The two−level evaluation of defined objectives, presented materials and methods and interpretation of results in master theses was done, in order to estimate their scientific contribution and statistical relevance. First level of evaluation was performed using classical methods and consisted of three steps: defining criteria of evaluation, analyzing their fulfilment and positioning 26 master theses into the Likert−type scale in the range from 0 to 1. Second level of evaluation was based on fuzzy logic methodology, conducted mostly in Matlab Fuzzy Logic Toolbox software and consisted of definition of variables, fuzzification, fuzzy inference, defuzzification and interpretation. Obtained marks from two levels of evaluation were than compared. Results indicate that fulfilment of defined criteria of evaluation is moderate. Common mistakes made by authors are accentuated, and clear advices for improving scientific contribution of theses were pointed out here. Classical evaluation marks were higher in 96.15% cases (or 25 out of 26 theses). However, fuzzy approach has advantages, which is also discussed. The interpretation of research results, defined as logical−mathematical argumentation, was found to have the leading role in forming mark in both levels of evaluation.

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“…They have obtained better results in evaluation with their fuzzy approach when compared to traditional methods. A.A. Surya et al [9] have proposed a flexible fuzzy evaluation system for student performance in school or college. In their system the membership function deployed can be changed as per the need of time and system.…”

Section: Defuzzificationmentioning

confidence: 99%

A Brief Survey on Fuzzy Logic Systems for Performance Appraisal

Manuja¹,

Singh²,

Gupta³

2018

IJCA

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Effective monitoring of student's performance is an important task for successful higher learning. Performance appraisal enables institutions to foresee student progression as well as inform the students well in time, the areas they need to improve. Traditional evaluation methods do not fully justify these objectives whereas Fuzzy logic based appraisal approaches are like human inference and give better evaluation results. In this paper we describe the advantages of the fuzzy logic approach for performance evaluation over the traditional method as fuzzy expert system can be built not only with the given information in the dataset but can also include the vital knowledge of experts at various levels as and when required. Furthermore, various existing approaches using fuzzy logic approach in this field have been investigated and compared for their merits and demerits.

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Overall Performance Evaluation of Engineering Students Using Fuzzy Logic

Abstract: ABSTRACT

Cited by 7 publications

References 3 publications

The Evaluation of Master Theses in MATLAB Software Tool: Fuzzy Approach Makes Sense

The Evaluation of Master Theses in MATLAB Software Tool: Fuzzy Approach Makes Sense

Classical and Fuzzy Logic Evaluation of Students' Master Theses in Matlab Fuzzy Logic Toolbox Software: Dealing with Subjectivity in Human Reasoning

A Brief Survey on Fuzzy Logic Systems for Performance Appraisal

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