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Some aggregation operators for aggregating XXXXXXX  are proposed and then applied to resolve multiple attribute group decision making. However, the main results of this paper are just the simple extensions of the known ones. Therefore, I don't think this paper has enough novelty to be published. There are also other problems:

1. Definitions 5, 6, 7 and 8 should be given explanations, why does the paper give such definitions to denote the score and accuracy functions of XXXXXXX  ?

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Notation sometimes is not easy to follow. Please check whether it is possible to ease the presentation.- I suggest to improve the section related to the experimentation of the proposed method by adding a comparison with at least one competing approach, and enlarging the test to some other possibly synthetic scenario to allow the reader to better catch the effectiveness of the authors' proposal.


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The interval-valued intuitionistic trapezoidal fuzzy number is unclear in practical applications. The practical meaning must be explained with a concrete example (case). The numerical example is too simple, which can not be used to demonstrate the approach. More complex case illustration is necessary. £¨ÎÒ²»Ì«Çå³þ£¬ÎªÊ²Ã´ÒªÓø´ÔÓµÄËãÀý£¬ ÎÒ¾õµÃÎÒËãÀýÒѾ­·ÖÎöµÄºÜÇå³þ£¬¶øÇÒ´ÓÀíÂÛÉÏÖ¤Ã÷ÁË£©

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The revised version of the paper have improved the contribution. I still believe that a comparison with at least one competing approach, and enlarging the test to some other possibly synthetic scenario to allow the reader to better catch the effectiveness of the authors' proposal may improve the paper.



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It is clear that the authors have not answered my two questions given in the comments.



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The revised version of the paper has addressed my comment about the comparison with competing approaches. However, this comparison is made at theoretical level. I wonder whether this may be also added in the example illustrated by the authors. After this the paper can be accepted for publication.  (ÎÒÔÚËãÀýµ±ÖÐÒѾ­×öÁ˱ȽϷÖÎö£¬ ²»ÖªµÀΪʲôÉó¸åÈËÖ»ÊÇ˵ÎÒ×öÁËÀíÂÛ·ÖÎö)
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