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This report explores techniques for improving survey form design flaws, enhancing data analysis, and implementing quality assurance expert systems through neuro-fuzzy approaches. It covers the life cycle of survey forms, backend spreadsheet management, and analytical applications utilizing techniques like median, standard deviation, multivariate linear regression, and Z-score analysis. The final report presents a schematic diagram outlining the processes involved in generating, analyzing, and reporting survey data. Throughout the review committee's process, emphasis is placed on room for improvement and the integration of neural network analytics. This comprehensive study compares survey processes at Eastern University and other universities, with a focus on UGC student surveys and data analysis using tools like Matlab and SPSS. Thank you for considering our insights.
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IQAC Survey Technical Session RazibMustafiz Data Analyst IQAC, Eastern University
Survey Life Cycle Schematic Diagram Survey Form Draft Report Generation Spread Sheet Data Analysis Matlab/SPSS
Review Committee Draft Report Final Report Eastern University Other Universities UGC
Tentative Analysis Techniques Median Standard Deviation Multivariate linear regression Z Score
A Quality assurance Expert System by Neuro Fuzzy Approach
Database Spread Sheet Neural Network Analytical Application Final Report Analytical Report