Advantage matrix: two novel multi-attribute decision-making methods and their applications

IF 10.7 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Bin Yu, Zeshui Xu
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引用次数: 5

Abstract

By comparing attributes of objects in an information system, the advantage matrix on the object set is established in this paper. The contributions can be identified as follows: (1) The advantage degree is proposed by the accumulation of the advantage matrix. (2) Based on the advantage matrix, the advantage (disadvantage) neighborhood approximation operator and the advantage (disadvantage) correlation approximation operator are defined and studied. Based on these two new operators, the neighborhood degree and the correlation degree are presented. The relationships between them are also investigated to demonstrate the value of the proposed method. (3) Finally, based on the above three degrees, new algorithms are designed, in which the effectiveness and robustness of the algorithms are analyzed by practical examples.

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优势矩阵:两种新的多属性决策方法及其应用
通过比较信息系统中对象的属性,建立了对象集上的优势矩阵。贡献可识别如下:(1)优势程度由优势矩阵的累积提出。(2)在优势矩阵的基础上,定义并研究了优势(劣势)邻域逼近算子和优势(劣势)相关逼近算子。基于这两个新的算子,给出了邻域度和关联度。研究了它们之间的关系,以证明所提出方法的价值。(3)最后,基于上述三种程度设计了新的算法,并通过实例分析了算法的有效性和鲁棒性。
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来源期刊
Artificial Intelligence Review
Artificial Intelligence Review 工程技术-计算机:人工智能
CiteScore
22.00
自引率
3.30%
发文量
194
审稿时长
5.3 months
期刊介绍: Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.
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