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

6Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

Yu, B., & Xu, Z. (2022). Advantage matrix: two novel multi-attribute decision-making methods and their applications. Artificial Intelligence Review, 55(6), 4463–4484. https://doi.org/10.1007/s10462-021-10126-9

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free