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[ÇóÖú] °ïæ¿´¿´Éó¸åÒâ¼û£¨IEEE Trans. Neural Networks and Learning Systems£© ÒÑÓÐ2È˲ÎÓë

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Recommended Decision by Associate Editor: Recommendation #1: Major Revision
  
Comments to Author(s) by Associate Editor:
Associate Editor
Comments to the Author:
Based on the comments of the reviewers, my decision is that the paper requires minor revisions as indicated by the reviews. The authors need to prepare a new version of the paper by carefully addressing all issues raised by the reviewers.

Éó¸åÈ˵ÄÒâ¼ûÈçÏ£º
  
Individual Reviews:  
  
The paper overall evaluation Grades are: 5 or 4 or 3 or 2 or 1.  
Grade 5 indicates EXCELLENT contribution while Grade 1 indicates WEAK/USELESS contribution.  
Reviewer: 1  
Overall Evaluation: 4  
Reviewer: 2  
Overall Evaluation: 3  
Reviewer: 3  
Overall Evaluation: 3  
  
++++++++++++++++++++++++++  
  
Reviewer(s)' Comments to Author(s):  
  
Reviewer: 1  
  
Comments to the Author  
The topic is interesting and timely. However, several imporvements are needed:  
1) The contribution and originality should be stressed  
2) The motivation of the study should be clearly presented  
3) Discussion of related work must be expanded. For example, there are papers on using interval type-2 fuzzy systems or type 2neuro fuzzy to produce prediction intervals  
4) There are typos and grammar errors  
5) More references to related work could be included, for example:  
Oscar Castillo, Juan R. Castro, Patricia Melin, Antonio Rodr¨ªguez D¨ªaz: Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification. Adv. Fuzzy Systems 2013 (2013)  
Martha Pulido, Patricia Melin: A New Method for Type-2 Fuzzy Integration in Ensemble Neural Networks Based on Genetic Algorithms. Recent Advances on Hybrid Intelligent Systems 2013: 173-182  
Juan R. Castro, Oscar Castillo, Patricia Melin, Olivia Mendoza, Antonio Rodr¨ªguez D¨ªaz: An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test. Soft Computing for Intelligent Control and Mobile Robotics 2011: 269-285  
Juan R. Castro, Oscar Castillo, Patricia Melin, Antonio Rodr¨ªguez D¨ªaz: A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks. Inf. Sci. 179(13): 2175-2193 (2009)  
  
  
  
Reviewer: 2  
  
Comments to the Author  
- In my opinion this paper should be accepted with minor revision.  
- The authors should consider the following comments:  
  
- More references should be included at least 30  
- The conclusions should be extended  
- The number of formulas in my opinion should be reduced and only include the most importants  
  
Reviewer: 3  
  
Comments to the Author  
  
This paper is very interesting; however some comments are suggested to improve the quality of your paper. The comments are described as follows.  
  
- More recent references to related work are needed.  
- Improve the quality of the graphics, the results of the simulations are not appreciated.
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