Modeling performance appraisal using soft computing techniques

Soft Computing provides flexible information processing capability for representation and evaluation of various real life ambiguous and uncertain situations.

tasks without any measurement and computations [7]. Modeling Performance Appraisal using Soft. Computing Techniques: Designing Neuro-Fuzzy. Application. 2013 ...

Modeling Performance Appraisal using Soft Computing and ANN

If multiple such timesheet are integrated, then some of the evaluation parameters could be calculated using soft computing techniques and which help in decision ...

Modeling performance appraisal using soft computing techniques

Modeling performance appraisal using soft computing techniques: Designing neuro-fuzzy application ... To read the full-text of this research, you can request a ...

(PDF) Modeling Academic Performance Evaluation Using Soft ...

Several approaches using fuzzy logic techniques have been proposed to provide a practical method for evaluating student academic performance and compare the ...

Modeling Performance Appraisal using Soft Computing and ANN

The reviewers involved in this evaluation process might have dissimilar measure of knowledge about the evaluated employee. It is a flexible framework in which ...

(PDF) Modeling Academic Performance Evaluation Using Soft ...

Modeling Academic Performance Evaluation Using Soft Computing Techniques: A Fuzzy Logic Approach Ramjeet Singh Yadav, Research Scholar, Department of ...

Modeling Academic Performance Evaluation Using Soft Computing ...

A Fuzzy Expert System (FES) is proposed for student academic performance evaluation based on fuzzy logic techniques and introduces the principles behind ...

Modeling Academic Performance Evaluation Using Soft Computing ...

We have proposed a Fuzzy Expert System (FES) for student academic performance evaluation based on fuzzy logic techniques. A suitable fuzzy inference ...

Review of Soft Computing Techniques for Modeling, Design, and ...

Recent studies have reported that the application of models developed using soft computing techniques has enhanced the performance efficiency of this process.

Academic performance evaluation using soft computing techniques

already been employed in student modelling systems, but nothing or very little has been mentioned about automatic generation of fuzzy membership function. The ...

A soft computing method of performance evaluation with MCDM ...

The performance evaluation problem often exists in complex administrative processes in which multiple evaluation criteria, subjective/objective assessments and ...

Fuzzy logic as a tool for evaluation of performance appraisal of ...

Use of advanced technology such as soft computing models like fuzzy logic in assessment of performance of faculty facilitates expression of linguistic variables ...

Performance Evaluation of Soft Computing Approaches for ...

[26] investigated using machine learning techniques to characterize the effect of COVID-19 pandemic worldwide. An additive regression model with ...

Performance Evaluation of Soft Computing for Modeling the Strength ...

The results revealed a good approximation capacity of the trained MEP models with correlation coefficient above 0.9 and root means squared error (RMSE) value ...

[PDF] Fuzzy logic as a tool for evaluation of performance appraisal ...

A fuzzy logic model is developed using an algorithm in visual basics (VB) and implemented in Matlab, using Matlab Fuzzy logic toolbox, to predict the ...

Evaluation of soft computing and regression-based techniques for ...

The performance of models was evaluated using correlation coefficient (r), root-mean-square error (RMSE) and Nash–Sutcliffe efficiency ...

Enhancing employee performance appraisal through optimized ...

... techniques with association rule algorithms, a performance prediction model was established. The goal is to explore a performance management ...

Peer assessment using soft computing techniques - ProQuest

The proposed model uses soft computing techniques to reduce the professor's workload in the correction process. Experiments were carried out with a data set in ...

Assessment of Soft Computing Techniques for the Prediction ... - MDPI

By comparing the results of all the best models, it can be concluded that the soft computing techniques (LLR, ANN and WANN) better predicted the SSL than the ...