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（外刊）審稿人反饋的意見讓我感到很難辦！所以求助
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各位蟲子好，好久沒有發(fā)帖求助了�，F(xiàn)在有機會了，呵呵（我倒是希望不要有這種機會，嘿嘿）。具體情況描述如下： 去年底投了一篇，論文中涉及采用FCM聚類算法確定T-S模型的前件（即模糊區(qū)劃分）問題。 一審中，三個審稿人，第一個審稿人給出小修，第二、第三個審稿人給了大修。其中有兩個意見讓我覺得有點兒難以作答。如下： Reviewer # 2 一審意見中的第一條： 1. It is unclear why clustering approach is used in building T-S models where linear functions are used as rule consequences. In my view, clustering may be more suitable for Mamdani-type fuzzy systems. For T-S models, the issue is to find some (fuzzy) regions with approximate linear behavior. 我是這么作答的： It is true that clustering approach is usually applied to build Mnidani-type fuzzy systems. As the reviewer remarked, the issue for T-S models is to find some fuzzy regions with approximate linear behavior. Therefore, the clustering can also be used to find appreciated fuzzy partitioning for the data and then linear functional relationship between the inputs and output can be identified in each fuzzy partitioning using the membership degree matrix, see in [19 ~ 30], without claiming of completeness. 結(jié)果返回第二輪審稿意見，該審稿人給了小修，并只對以上問題不滿意，意見如下： The paper has been revised for improvements according to the review comments. But one point still seems unclear, why did you use FCM in building Sugeno-type fuzzy models? For instance, consider a set of points created roughly in terms of y=2x. Such data points constitute a fuzzy region for making a Sugeno-type fuzzy rule. But, with large variation of x, it would be difficult to detect this fuzzy region using FCM. It would be nice if authors could discuss such issues in the second-revised version. 蟲友們，問題一如上，我該如何作答？求助！謝謝�。�！ Reviewer #3 一審中的第一、第二條意見如下（即comment 1 和 comment 2）： 1. In the clustering based learning algorithms, the key issue is how to handle the input and output effectively in clustering. The traditional input only clustering or input-output clustering (the approach used in the paper) have been regarded less effective, as the input data and output data plays a completely different roles in identification of fuzzy systems. The more updated approach are the output based clustering approach, see the related papers in this topic in xxxxx (xxxxx是審稿人給出的一些推薦文獻). So what is the best way to distinguish the output and input data in clustering is a point needed to further thinking to see where the traditional input-output clustering is the best approach here。 2. The used input-output clustering approach is a mismatch between the input-output clustering and T-S fuzzy system modeling. The data you use for clustering are input-output pair (xi, yi) where the system you model are (xi, Li(xi) ), where Li(.) is a linear function. 就以上兩條意見，我作答如下： 1. First of all, we agree with the reviewer’s view point. Indeed, it is important to take into account more information of the output in clustering, see the above literatures suggested by the reviewer (These literatures are added in the revised paper so as to complete the reviews of the paper.). The input-output clustering is also important and investigated, see in [22-30], without claiming of completeness. In our current study, we consider the input-output clustering. In further, we will extend the xxxx(我論文提出的一種改版FCM算法) by considering more information of the output variable. Thanks the reviewer’s recommendation. 2.The FCM algorithm proposed in our paper is implemented on the input-output data pair (xi, yi), and it is used to establish T-S model for a given system when the data samples (xi, yi) can be observed from such system. In both two cases, data pair is (xi, yi). Li(.) is the linear behavior that should be identified in each fuzzy region. Therefore, there maybe exists no mismatch. Note that xi maybe include some information of output y, see the Examples 2 and 3 in the revised manuscript. 結(jié)果返回第二輪審稿意見，該審稿人也給了小修，并只對以上兩個問題不滿意，意見如下： Although the revised manuscript has made some improvements in responding the reviewers’ comments, the main comments (comments 1 and 2) in my original review report have not been addressed properly. In particular, my original comment 2 is basically the same as Comment 1 by Reviewer 2. So at least the authors should make some real effort to address this issue! 個人感覺審稿人有點兒不耐煩啦。雖然我個人自我感覺對FCM算法及T-S模型比較熟悉，但還是覺得有點難以回答。請教蟲子們。 針對以上問題，我不知如何回答妥貼。請教了！ 編輯讓我兩周內(nèi)返回修改稿我和修改意見。請蟲子們給與幫助。不勝感謝。 |
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