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Symmetry
Volume 12
Issue 2
10.3390/sym12020264
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Article
Peer-Review Record

Risky Multi-Attribute Decision-Making Method Based on the Interval Number of Normal Distribution

Symmetry 2020, 12(2), 264; https://doi.org/10.3390/sym12020264
by Sha Fu *, Xi-Long Qu, Ye-Zhi Xiao, Hang-Jun Zhou and Guo-Bing Fan
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Symmetry 2020, 12(2), 264; https://doi.org/10.3390/sym12020264
Submission received: 6 January 2020 / Revised: 20 January 2020 / Accepted: 21 January 2020 / Published: 8 February 2020

Round 1

Reviewer 1 Report

This paper proposes a decision-making method based on interval number of normal distribution. The paper may warrant publication. However, please consider the following:

 

1. The English structure and typo should be revised and corrected to improve the quality so that it merits the journal publication.

2. The mathematical expression needs to be concise and precise.

3. Literature review in the Introduction part or Conclusion of the paper should also include the applications of your method, For example,

  [1] T. Nuchkrua, T. Leephakpreeda, "Fuzzy self-tuning PID control of hydrogen-driven pneumatic artificial muscle actuator" Journal of bionic engineering, Vol. 10, no.3, pp. 329-340, 2013

Author Response

Thank you very much for pointed out the problem and shortcoming in my paper, and have been corrected.

Author Response File: Author Response.doc

Reviewer 2 Report

This article is very well developed and with sufficient mathematical formulas that allow us to know the subject matter well, even without knowing much about the subject.

The paper is about the a decision-making method based on interval number of normal distribution. The feasibility and validity of the studied method are verified through the example calculation analysis. For me, the document presents the formulas that are needed to understand the study.

It has a well laid out structure.

The article is well supported by the number of bibliographic references.

Author Response

Thank you very much.

Reviewer 3 Report

The importance of the topic to the field of consumer research is high. The quality of writing and other presentations. The Conceptual rigor (clarity of objectives, treatment of relevant literature, logical reasoning) is very good. The Methodological rigor (research design, data collection) are relevant to quantitative data is very good. The general discussion and conclusions (implications, limitations, future research) is very good. Paper's contribution to consumer research in its current form is good.

Author Response

Thank you very much.

Author Response File: Author Response.doc

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