Failure Risk Assessment of Coal Gasifier Based on the Integration of Bayesian Network and Trapezoidal Intuitionistic Fuzzy Number-Based Similarity Aggregation Method (TpIFN-SAM)
Round 1
Reviewer 1 Report
1.In introduction, “Once the equipment fails, the consequences are unimaginable and could easily result in serious incidents such as fire and explosion”, “clarify the safety status of equipment”need to be improved, they look like Chinese English.
2. reference [6-11], for one local, less or equal to three literatures is appropriate.
3. expert weights dependent on Professional position, education level and service time, this is complex problem, this methods is not appropriate. I suggest that weighted averages of several experts assessment be better, similar to gymnastics judge.
Author Response
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Author Response File: Author Response.docx
Reviewer 2 Report
It is innovative and interesting. Also, it offers researchers a new idea for future. In my opinion, it deserves to be published.
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
First of all, I want to congratulate authors for this manuscript because it is well written and structured and it is easy to follow it. The manuscript is a really good contribution.
However, I have some topics to improve the impact of the future paper.
1-mathematical equations are not regular
2-The authors should also discuss the motivation of the paper. Why do we need the new aggregation operator? What are the drawbacks of previous ones?
3-Please also discuss the merits and limitations of your study.
4-Please focus on the main contribution of your paper when preparing the introduction section.
5-In order to give the reader more information on Intuitionistic fuzzy set theory and the following references must be added for a powerful publication:
a-Uluçay, V., Deli, I., & Şahin, M. (2019). Intuitionistic trapezoidal fuzzy multi-numbers and its application to multi-criteria decision-making problems. Complex & Intelligent Systems, 5(1), 65-78.
b-Bakbak D, Uluçay V, 2019b. Multicriteria Decision-Making Method Using the Cosine Vector Similarity Measure Under Intuitionistic Trapezoidal Fuzzy Multi-Numbers in Architecture. 6th International Multidisciplinary Studies Congress (Multicongress’19) Gaziantep, Türkiye.
c-Bakbak D, Uluçay V, and Şahin, M, 2019b. Intuitionistic Trapezoidal Fuzzy Multi-Numbers and Some Arithmetic Averaging Operators with Their Application in Architecture. 6th International Multidisciplinary Studies Congress (Multicongress’19) Gaziantep, Türkiye
d-Ulucay V (2020) A New similarity function of trapezoidal fuzzy multi-numbers based on multi-criteria decision making. J Inst Sci Technol 10(2):1233–1246.
e-Uluçay, V., Deli, I., & Şahin, M. (2018). Trapezoidal fuzzy multi-number and its application to multi-criteria decision-making problems. Neural Computing and Applications, 30(5), 1469-1478.
Author Response
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Author Response File: Author Response.docx
Reviewer 4 Report
The new results was obtained in the paper by the unexpected combination between two unrelated approaches in expert systems. At first, the Bayesian networks are the most popular, but for the probability measures. Also, the intuitionistic fuzzy sets are very appropriate for the expert opinions aggregation. The obtained synergetic combination of these approaches are very usable for the expert systems over the fuzzy numerical parameters.
Author Response
Please see the attachment.
Author Response File: Author Response.docx