.png){kind=icon}
返回
Uncertain generalized aggregation operators
.png){kind=icon}
PRE
AI
DOI：10.1016/j.eswa.2011.07.110.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The aim of this paper is to extend the generalized ordered weighted averaging operator and provide a new class of operators called the uncertain generalized ordered weighted averaging (UGOWA) operator. It provides a very general formulation that includes as special cases a wide range of aggregation operators and aggregates the input arguments taking the form of intervals rather than exact numbers. We further generalize the UGOWA operator to obtain the uncertain generalized hybrid averaging operator, the quasi uncertain ordered weighted averaging operator and the uncertain generalized Choquet integral aggregation operator. In the meanwhile, a new approach to determining the UGOWA weights is proposed based on the relative deviation measure. Finally, a numerical example is presented to illustrate the proposed approach to group decision making with UGOWA operator. (C) 2011 Elsevier Ltd. All rights reserved.
Keyword:
Aggregation
OWA operator
Generalized mean
Operator weights
Decision making
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.5
论文数:
3.0W
被引数:
10.2W
机构
引用论文
分享收藏Statistical validation of HZETRN as a function of vertical cutoff rigidity using ISS measurements
PREAI
分享收藏Induced uncertain linguistic OWA operators applied to group decision making.png)
INFORMATION FUSION
INFORMATION FUSIONIF15.5
PREAI
分享收藏
查看更多内容