A Parameter Reduction-Based Decision-Making Method with Interval-Valued Neutrosophic Soft Sets for the Selection of...

Area of Science:

• Engineering
• Materials Science
• Biomimetics

Background:

• Bio-inspired thin-wall structures offer superior mechanical properties for transportation and aerospace safety.
• Selecting optimal structures based on multiple attributes and engineering preferences is challenging.

Purpose of the Study:

• To develop a robust method for selecting bio-inspired thin-wall structures.
• To address limitations in subjective evaluations and redundant parameters in decision-making.

Main Methods:

• Proposed a parameter reduction-based indifference threshold-based attribute ratio analysis method under an interval-valued neutrosophic soft set (IVNS-SOFT).
• Developed an IVNS-SOFT-based multi-attributive border approximation area comparison (MABAC) method for optimal alternative selection.
• Quantified uncertainty and handled inconsistent expert information.

Main Results:

• The proposed IVNS-SOFT approach effectively determines the weight vector for evaluation indicators.
• The IVNS-SOFT-MABAC method successfully identifies optimal bio-inspired thin-wall structures.
• Demonstrated the method's validity and practicality through an application case study.

Conclusions:

• The developed method provides an effective tool for selecting bio-inspired thin-wall structures.
• The approach enhances decision-making by managing uncertainty and improving attribute weighting.