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【题 名】:Approaches to multi-stage multi-attribute group decision making
【作 者】:Xu Z
【期刊、会议、单位名称】:International Journal of Information Technology & Decision Making
【年, 卷(期), 起止页码】:2011, 10(1): 121-146.
【全文链接】:http://www.worldscinet.com/ijitdm/10/1001/S0219622011004257.html
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关键词:求助文献 information Internation worldscinet Technology 求助 文献

研究兴趣:数据挖掘,决策分析
沙发
lanfeng0924 发表于 2011-2-23 10:36:07 |只看作者 |坛友微信交流群
没人能帮忙找到这篇文献吗
研究兴趣:数据挖掘,决策分析

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藤椅
Henryzhu 在职认证  发表于 2011-2-23 11:26:39 |只看作者 |坛友微信交流群
lanfeng0924 发表于 2011-2-23 10:36
没人能帮忙找到这篇文献吗
没有权限。。。
Author(s):ZESHUI XU
School of Economics and Management, Southeast University, Nanjing, Jiangsu 210096, P. R. China

Abstract:Multi-stage multi-attribute group decision making (MS-MAGDM) as a familiar decision activity that usually occurs in our daily life, such as multi-stage investment decision making, medical diagnosis, personnel dynamic examination, military system efficiency dynamic evaluation, etc. The aim of this paper is to investigate MS-MAGDM problems in which both the weight information on a collection of predefined attributes and the decision information on a finite set of alternatives with respect to the attributes are collected at different stages. We first propose a Poisson distribution based method to determine the weight vector associated with a time-weighted averaging (TWA) operator. Furthermore, we use a hybrid weighted aggregation (HWA) operator to fuse all individual decision information into group opinions at different stages, and then utilize the TWA operator to aggregate the derived group opinions at different stages into the complex group ones so as to rank the given alternatives. After that, we further investigate MS-MAGDM problems where all decision information at different stages cannot be given in exact numerical values, but value ranges can be obtained. An approach based on the uncertain time-weighted averaging (UTWA) operator and the uncertain hybrid weighted aggregation (UHWA) operator is developed for solving MS-MAGDM problems under interval uncertainty. Finally, a practical example is provided to illustrate the developed approaches.
Keywords:Multi-stage multi-attribute group decision making; time-weighted averaging operator; uncertain time-weighted averaging operator; probability density function; hybrid weighted aggregation operator
AMSC numbers:                     90B50, 91B06
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板凳
lanfeng0924 发表于 2011-2-23 14:22:38 |只看作者 |坛友微信交流群
Henryzhu 发表于 2011-2-23 11:26
lanfeng0924 发表于 2011-2-23 10:36
没人能帮忙找到这篇文献吗
没有权限。。。
Author(s):ZESHUI XU
School of Economics and Management, Southeast University, Nanjing, Jiangsu 210096, P. R. China

Abstract:Multi-stage multi-attribute group decision making (MS-MAGDM) as a familiar decision activity that usually occurs in our daily life, such as multi-stage investment decision making, medical diagnosis, personnel dynamic examination, military system efficiency dynamic evaluation, etc. The aim of this paper is to investigate MS-MAGDM problems in which both the weight information on a collection of predefined attributes and the decision information on a finite set of alternatives with respect to the attributes are collected at different stages. We first propose a Poisson distribution based method to determine the weight vector associated with a time-weighted averaging (TWA) operator. Furthermore, we use a hybrid weighted aggregation (HWA) operator to fuse all individual decision information into group opinions at different stages, and then utilize the TWA operator to aggregate the derived group opinions at different stages into the complex group ones so as to rank the given alternatives. After that, we further investigate MS-MAGDM problems where all decision information at different stages cannot be given in exact numerical values, but value ranges can be obtained. An approach based on the uncertain time-weighted averaging (UTWA) operator and the uncertain hybrid weighted aggregation (UHWA) operator is developed for solving MS-MAGDM problems under interval uncertainty. Finally, a practical example is provided to illustrate the developed approaches.
Keywords:Multi-stage multi-attribute group decision making; time-weighted averaging operator; uncertain time-weighted averaging operator; probability density function; hybrid weighted aggregation operator
AMSC numbers:                     90B50, 91B06
应该有人有这个权限吧
研究兴趣:数据挖掘,决策分析

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报纸
Henryzhu 在职认证  发表于 2011-2-23 15:06:48 |只看作者 |坛友微信交流群
lanfeng0924 发表于 2011-2-23 14:22
Henryzhu 发表于 2011-2-23 11:26
lanfeng0924 发表于 2011-2-23 10:36
没人能帮忙找到这篇文献吗
没有权限。。。
Author(s):ZESHUI XU
School of Economics and Management, Southeast University, Nanjing, Jiangsu 210096, P. R. China

Abstract:Multi-stage multi-attribute group decision making (MS-MAGDM) as a familiar decision activity that usually occurs in our daily life, such as multi-stage investment decision making, medical diagnosis, personnel dynamic examination, military system efficiency dynamic evaluation, etc. The aim of this paper is to investigate MS-MAGDM problems in which both the weight information on a collection of predefined attributes and the decision information on a finite set of alternatives with respect to the attributes are collected at different stages. We first propose a Poisson distribution based method to determine the weight vector associated with a time-weighted averaging (TWA) operator. Furthermore, we use a hybrid weighted aggregation (HWA) operator to fuse all individual decision information into group opinions at different stages, and then utilize the TWA operator to aggregate the derived group opinions at different stages into the complex group ones so as to rank the given alternatives. After that, we further investigate MS-MAGDM problems where all decision information at different stages cannot be given in exact numerical values, but value ranges can be obtained. An approach based on the uncertain time-weighted averaging (UTWA) operator and the uncertain hybrid weighted aggregation (UHWA) operator is developed for solving MS-MAGDM problems under interval uncertainty. Finally, a practical example is provided to illustrate the developed approaches.
Keywords:Multi-stage multi-attribute group decision making; time-weighted averaging operator; uncertain time-weighted averaging operator; probability density function; hybrid weighted aggregation operator
AMSC numbers:                     90B50, 91B06
应该有人有这个权限吧
应该有的,实在不行,到你们学校图书馆的文献传递服务一下吧
很高兴能来这个论坛

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