Robust Seismic Performance Evaluation of Super High-Rise Concrete Structures Using MCDM and Plithogenic-RAM Approach

Authors

  • Kaifeng Xing School of Architecture and Civil Engineering, Huangshan University, Huangshan, 245041, Anhui, China
  • Xiaoping Wang School of Architecture and Civil Engineering, Huangshan University, Huangshan, 245041, Anhui, China
  • Peng Chen School of Architecture and Civil Engineering, Huangshan University, Huangshan, 245041, Anhui, China

Keywords:

Super High-Rise Concrete Structures; Decision Making; RAM Approach; MCDM.

Abstract

More reinforced concrete supertall and megatall high-rise structures are being built due to the 
growing global demand for high-rise buildings, recent advancements in concrete technology, and 
improvements in construction techniques. When using concrete in these structures, additional 
care must be taken. Evaluating Super High-Rise Concrete Structures using various criteria is a 
multi-criteria decision-making (MCDM) challenge. We propose an MCDM method with a set of 
criteria and alternatives. The Root Assessment Method (RAM) is applied in this study to rank the 
alternatives. The RAM method is integrated with plithogenic sets to handle uncertain 
information. Plithogenic operators are used to combine the plithogenic numbers into a single 
matrix. Seven criteria and nine alternatives are evaluated in this study. The results indicate that 
the Structural Strength and Stability criterion has the highest weight, while the Non-Structural 
Component Performance criterion has the lowest weight. Sensitivity analysis was conducted with 
different criteria weights to observe variations in the rankings of alternatives. The results 
demonstrate that the rankings of alternatives remain stable under varying weights.

 

 

DOI: 10.5281/zenodo.14707557

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Published

2025-03-01

How to Cite

Kaifeng Xing, Xiaoping Wang, & Peng Chen. (2025). Robust Seismic Performance Evaluation of Super High-Rise Concrete Structures Using MCDM and Plithogenic-RAM Approach. Neutrosophic Sets and Systems, 80, 229-246. https://fs.unm.edu/nss8/index.php/111/article/view/5720