A Decision-Making Method for Selecting the Natural Detection System in High-Speed Railways

Xue Feng () and Shifeng Liu ()
Additional contact information
Xue Feng: Beijing Jiaotong University
Shifeng Liu: Beijing Jiaotong University

A chapter in IEIS 2023, 2024, pp 113-132 from Springer

Abstract: Abstract This paper investigates multi-attribute group decision-making (MAGDM) model to solve the selection of the natural detection system in High-speed railways. In this model, the attribute values provided by decision makers (DMs) are in the form of cubic intuitionistic fuzzy numbers (CIFNs). When aggregating CIFNs, cubic intuitionistic fuzzy aggregation operators (AOs) are needed. However, existing AOs of CIFNs fail to consider the interrelationship among multiple input variables, and they cannot effectively deal with DMs’ extreme evaluation values, either. Hence, this paper proposes novel cubic intuitionistic fuzzy AOs based on power average operator and Muirhead mean, i.e., cubic intuitionistic fuzzy power weighted average operator and cubic intuitionistic fuzzy power Muirhead mean operator. In addition, the weight of the DMs can be calculate based on the social trust network and a novel method is proposed to obtain the weights of the attribute when it is unknown. Finally, a numerical example was performed to illustrate the application of the proposed method.

Keywords: multi-attribute group decision-making; cubic intuitionistic fuzzy numbers; power average operator; Muirhead mean; social trust network (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-97-4137-3_10

Ordering information: This item can be ordered from
http://www.springer.com/9789819741373

DOI: 10.1007/978-981-97-4137-3_10

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().