A Soft Computing Model for Evaluating Teachers’Overall Performance using Fuzzy Logic

@article{Alam2017ASC,
  title={A Soft Computing Model for Evaluating Teachers’Overall Performance using Fuzzy Logic},
  author={Javed Alam and Pinali Manojkumar and ey},
  journal={Journal of Information Technology \& Software Engineering},
  year={2017},
  volume={7},
  pages={1-9}
}
  • J. Alam, P. Manojkumar, ey
  • Published 5 April 2017
  • Computer Science
  • Journal of Information Technology & Software Engineering
In the entire world, there is a widespread recognition that evaluation framework is a key to building stronger and fairer academic institution system. All countries emphasize the evaluation not as end in itself but instead an important tool for achieving improved student outcomes. Teacher evaluation typically has two major purposes. First, it seeks to improve the teacher’s own practice by identifying strengths and weaknesses for further professional development and involves helping teachers… 
Fuzzy Logic Based Expert System for Academic Staff Evaluation and Progress Monitoring Laura-Nicoleta IVANCIU* and Emilia SIPOS
Academic teaching performance is recognized as a top instrument in reducing student dropout. This paper proposes a fuzzy logic based expert system which helps the teachers perform their own
Analysis of Faculty Teaching Performance Based on Student Feedback Using Fuzzy Mamdani Inference System
TLDR
This soft computing technique by using Fuzzy Mamdani Inference System (FMIS) for evaluating Faculty Teaching Performance will be useful for management of organization for evaluate faculty abilities with student outcomes.
Teaching Staff Performance Analysis by Fuzzy Mamdani Inference System
In this research, an Inference System of Fuzzy Mamdani system have been designed for the analysis of teaching skills of faculties in academic or educational institutes. Nowadays, various academic
Ranking of educational institutions using fuzzy logic: a mathematical approach
TLDR
A fuzzy logic rule base model is proposed for ranking of institution based on linguistic input variables TLR, RPP, GO, OI, PR, and it is compared with the ranking of NIRF taking the top 20 institutions of India.
Application of Fuzzy Logic in the Ranking of Academic Institutions
TLDR
This study will focus on the ranking system based on Mamdani and Sugeno with fuzzy triangular numbers as input values of membership functions, which is compared with existing NIRF systems and considered Top 20 institutions of India for the year 2019 as per NIRf.
AN ARCHITECTURE PROPOSAL FOR TEACHERS CONTINUAL FEEDBACK COLLECTION INETHIOPIAN UNIVERSITIES
In this paper, web based architecture is introduced which is used for the collection of continual feedback for teachers’ from students, teacher’s colleagues and from supervisor or head of the
Development of an Approach to Adaptive Construction of Individual Educational Trajectories for Students of Massive Open Online Courses Based on the Methods of the Fuzzy Set Theory
TLDR
In the research, it was revealed that the fuzzy logic method is more flexible and accurate in the integrated assessment of the results of mastering an online course than the classical method of average values.
Senti‐eSystem: A sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
TLDR
The proposed system, namely Senti‐eSystem, aims at the development of sentiment‐based eSystem using hybridized Fuzzy and Deep Neural Network for Measuring Customer Satisfaction to assist business organizations for improving the quality of their services and products.
Fuzzy-Based Sentiment Analysis System for Analyzing Student Feedback and Satisfaction
TLDR
This study aims at the development of fuzzy-based sentiment analysis system for analyzing student feedback and satisfaction by assigning proper sentiment score to opinion words and polarity shifters present in the input reviews.
Öğretmen Performanslarının Bulanık Mantık Yöntemiyle Değerlendirilmesi
With the developments in science and technology, the use of fuzzy logic approach has expanded. Fuzzy logic approach, which gives effective results by finding application areas in different fields,
...
1
2
...

References

SHOWING 1-10 OF 12 REFERENCES
Fuzzy Expert Model for Evaluation of Faculty Performance in Technical Educational Institutions
TLDR
A Fuzzy Expert System for evaluating teachers overall performance based on fuzzy logic techniques under uncertain facts in the decision making process is proposed and introduced the principles behind fuzzy logic.
Design and Development of Soft Computing Model for Teaching Staff Performance Evaluation
TLDR
A soft computing model for academic performance evaluation of the teachers is presented and Fuzzy Set Theory - an area under the umbrella of Soft Computing, approach is followed.
Application of Expert System with Fuzzy Logic in Teachers' Performance Evaluation
This paper depicts adaptation of expert systems technology using fuzzy logic to handle qualitative and uncertain facts in the decision making process. Human behaviors are mostly based upon
Fuzzy Inference Sytem for Teaching Staff Performance Appraisal
TLDR
In the proposed research, a fuzzy inference system (FIS) for teaching staff performance appraisal using Matlab is developed, which formulates the mappings from factors affecting performance to the incentives.
Fuzzy evaluation method using fuzzy rule approach in multicriteria analysis
TLDR
A multicriteria analysis in ranking the quality of teaching using fuzzy rule is proposed and the use of the model is suitable in evaluating situations that involve subjectivity, vagueness and imprecise information.
Soft computing: the convergence of emerging reasoning technologies
TLDR
Some of their most useful combinations are analyzed, such as the use of FL to control GAs and NNs parameters; the application of GAs to evolve NNs or to tune FL controllers; and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms.
Advance Traffic Light System Based On Congestion Estimation Using Fuzzy Logic
TLDR
Fuzzy logic controller is used to execute fuzzy logic inference rules from a fuzzy rule base in determining the congestion parameters, getting the warning information and the appropriate action and the simulation results shows that the fuzzy logic controller has better performance and is more cost effective than fixed time controller.
Design and Analysis of a Two Stage Traffic Light System Using Fuzzy Logic
TLDR
A two stage traffic light system for real-time traffic monitoring has been proposed to dynamically manage both the phase and green time of traffic lights for an isolated signalized intersection with the objective of minimizing the average vehicle delay in different traffic flow rate.
200-205
  • Citation: Alam J, Pandey MK
  • 2017
...
1
2
...