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| 【懸賞金幣】回答本帖問(wèn)題，作者andycoy將贈(zèng)送您 19 個(gè)金幣 | ||
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andycoy木蟲(chóng) (著名寫(xiě)手)
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[求助]
請(qǐng)教這種審稿意見(jiàn)如何回復(fù)？
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Expert Systems with Applications退修，主編讓修改，但其中有一個(gè)審稿專家的意見(jiàn)不好回復(fù)。 Reviewers have now commented on your paper. You will see that they are advising that you revise your manuscript. For your guidance, three reviewers' comments are appended below. 這句話的意思是審稿專家都建議修改？ Reviewer #2: Short review: Each of the MADM (multi-attribute decision-making) methods has its normalization technique. The TOPSIS method uses vector normalization, and then after weighting, calculates the relative distance from the ideally best and worst alternatives. The authors use compromise normalization according to M. Zeleny. Therefore, they present not TOPSIS method. Moreover, when compromise values are determined, they again looking for compromise (or relative distance). Thus, they commit an agreement. Besides, it is easy to show that the entropy method is not a proper means to determine criteria weights as this approach not express the relative importance of criteria as achieving goals of stakeholders. It is right mean to manipulate with stakeholders' opinion about goals importance. For example, if decision-maker knows the properties of the entropy method, he could quickly change criteria weights by adding not important criteria to stakeholder, and show that the added criterion is the most significant to the stakeholder. Moreover, adding alternative or deleting of an alternative significantly could change criteria weights. 我研究的對(duì)象是熵權(quán)TOPSIS的一些性質(zhì)，審稿人很了解我研究的方法，對(duì)方法本身提出了很有針對(duì)性的意見(jiàn)，也指出熵權(quán)法不適合確定權(quán)重（這樣子似乎研究熵權(quán)TOPSIS沒(méi)有意義了），但也沒(méi)說(shuō)論文如何修改，行不行。還有Short review這個(gè)說(shuō)法沒(méi)見(jiàn)過(guò)。請(qǐng)教大家這種意見(jiàn)怎么修改回復(fù)？ |
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andycoy(liouzhan654代發(fā)): 金幣+1, 感謝交流 2019-03-03 22:07:13
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short review應(yīng)該是審稿人就你的研究?jī)?nèi)容做了總結(jié)和歸納，表明他的個(gè)人看法和意見(jiàn)，貌似并不贊同你的方法…祝好運(yùn) 發(fā)自小木蟲(chóng)IOS客戶端 |
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