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Article

A VIKOR-Based Sequential Three-Way Classification Ranking Method

1
School of Information and Software Engineering, East China JiaoTong University, Nanchang 330000, China
2
School of Computer, Jiangsu University of Science and Technology, Zhenjiang 212000, China
*
Author to whom correspondence should be addressed.
Algorithms 2024, 17(11), 530; https://doi.org/10.3390/a17110530
Submission received: 14 September 2024 / Revised: 2 November 2024 / Accepted: 13 November 2024 / Published: 19 November 2024

Abstract

VIKOR uses the idea of overall utility maximization and individual regret minimization to afford a compromise result for multi-attribute decision-making problems with conflicting attributes. Many researchers have proposed corresponding improvements and expansions to make it more suitable for sorting optimization in their respective research fields. However, these improvements and extensions only rank the alternatives without classifying them. For this purpose, this text introduces the three-way sequential decisions method and combines it with the VIKOR method to design a three-way VIKOR method that can deal with both ranking and classification. By using the final negative ideal solution (NIS) and the final positive ideal solution (PIS) for all alternatives, the individual regret value and group utility value of each alternative were calculated. Different three-way VIKOR models were obtained by four different combinations of individual regret value and group utility value. In the ranking process, the characteristics of VIKOR method are introduced, and the subjective preference of decision makers is considered by using individual regret, group utility, and decision index values. In the classification process, the corresponding alternatives are divided into the corresponding decision domains by sequential three-way decisions, and the risk of direct acceptance or rejection is avoided by putting the uncertain alternatives into the boundary region to delay the decision. The alternative is divided into decision domains through sequential three-way decisions, sorted according to the collation rules in the same decision domain, and the final sorting results are obtained according to the collation rules in different decision domains. Finally, the effectiveness and correctness of the proposed method are verified by a project investment example, and the results are compared and evaluated. The experimental results show that the proposed method has a significant correlation with the results of other methods, ad is effective and feasible, and is simpler and more effective in dealing with some problems. Errors caused by misclassification is reduced by sequential three-way decisions.
Keywords: ideal solution; sequential three-way decisions; VIKOR method; domain; muti-attribute decision making ideal solution; sequential three-way decisions; VIKOR method; domain; muti-attribute decision making

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MDPI and ACS Style

Xu, W.; Qian, J.; Wu, Y.; Yan, S.; Ni, Y.; Yang, G. A VIKOR-Based Sequential Three-Way Classification Ranking Method. Algorithms 2024, 17, 530. https://doi.org/10.3390/a17110530

AMA Style

Xu W, Qian J, Wu Y, Yan S, Ni Y, Yang G. A VIKOR-Based Sequential Three-Way Classification Ranking Method. Algorithms. 2024; 17(11):530. https://doi.org/10.3390/a17110530

Chicago/Turabian Style

Xu, Wentao, Jin Qian, Yueyang Wu, Shaowei Yan, Yongting Ni, and Guangjin Yang. 2024. "A VIKOR-Based Sequential Three-Way Classification Ranking Method" Algorithms 17, no. 11: 530. https://doi.org/10.3390/a17110530

APA Style

Xu, W., Qian, J., Wu, Y., Yan, S., Ni, Y., & Yang, G. (2024). A VIKOR-Based Sequential Three-Way Classification Ranking Method. Algorithms, 17(11), 530. https://doi.org/10.3390/a17110530

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