Comments on abstract, title, references

This paper proposed the smart framework for the educational quality assessment using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The abbreviation (ANFIS) is not so generally used in real-life to be used in the title, therefore, it is suggested to use its full form. Furthermore, the abstract is not clearly defining the problem, objectives and contributions, which diverts the reader attention. Therefore, the abstract need revision for the missing. References look in line, however, it would be better to refer to recent research papers.

Comments on introduction/background

On page 1, section A, globally institutions are discussed. I do not agree with the claim of 51,534 institutions globally. The referred sitealso gives statistics about India only. Further citations are also not reliable (page 1 and 2) . Citation 3 do not open. Therefore, the second paragraph of the introduction does not meet the standards and need revision to put real facts. Furthermore, Adaptive Neuro-Fuzzy Inference System (ANFIS) is not so common, therefore, it needs some description in introduction. The contributions (page-2) are not inline and unclear. Therefore, it is suggested to rewrite it with a self-explanatory approach.

Comments on methodology

The title mentioned ANFIS techniques for education quality assessment, however, in the methodology section (page 4), there is no such thing described that how the ANFIS will assess the education quality framework. Also, it is not clear what type of education qualifies for the assessment? as mentioned in the title, no such link can be found in the methodology. The process and the variables (page 6) for the education qualify assessments are not clear.

Comments on data and results

On section 4, part A (page 10), the dataset is not clear, from where this dataset is taken. The history of students performance is taken as one dataset. Students performance is very wide and includes many things. How they are measuring it as a single point. In table 5 (page 11), different techniques (e.g, RMSE, K-NNR, ANN, and SGD etc) are used for data evaluation, however, it is not clear what are these techniques calculating.

Comments on discussion and conclusions

The conclusion needs to be revised to clearly explain how the objectives were achieved. Furthermore, the conclusion needs to be supported with results.