） Abstract： The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic variables
We establish an optimization model, by which the attribute weights can be determined
We utilize the linguistic weighted arithmetic average (LWAA) operator to aggregate the linguistic variables corresponding to each alternative, and then rank the alternatives by means of the aggregated linguistic information
Finally, an example is shown to highlight the procedure of the proposed algorithm at the end of this paper
Keywords： multiple attribute decision making, linguistic variables, attribute weight, linguistic weighted arithmetic average (LWAA) operator 下载PDF阅读器 PDF全文下载： 初稿 （ 293 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 卫贵武
Multiple Attribute Decision Making with Incomplete Weight Information in Linguistic Setting[EB/OL]
北京：中国科技论文在线
） 摘要： The aim of this paper is to investigate the multiple attribute decision making problems with linguistic information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic variables
We establish an optimization model, by which the attribute weights can be determined
We utilize the linguistic weighted arithmetic average (LWAA) operator to aggregate the linguistic variables corresponding to each alternative, and then rank the alternatives by means of the aggregated linguistic information
Finally, an example is shown to highlight the procedure of the proposed algorithm at the end of this paper
关键词： multiple attribute decision making, linguistic variables, attribute weight, linguistic weighted arithmetic average (LWAA) operator Wei Gui-wu 1,2,* （ 1、 School of Economics and Management, Southwest Jiaotong University
总览 评价 卫贵武 * （ 西南交通大学经济管理学院;川北医学院数学教研室
2、 Deaprtment of Mathematics, North Sichuan Medical College
[2007-03-05]
http://www
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cn/releasepaper/content/200703-43
