A new multi-objective optimization ratio analysis plus full multiplication form method for the selection of an...

Area of Science:

• Decision Sciences
• Mining Engineering
• Fuzzy Logic Systems

Background:

• Mining method selection is a critical, complex decision-making process.
• Existing methods struggle with uncertainty and vagueness inherent in expert judgments.
• Multi-attribute group decision-making (MAGDM) is often required for these complex choices.

Purpose of the Study:

• To propose an extended MULTIMOORA method integrated with a 2-tuple spherical fuzzy linguistic set (2TSFLS).
• To develop a novel approach for handling uncertainty and vagueness in MAGDM problems within the mining sector.
• To enhance the representation of expert judgments using the combined strengths of spherical fuzzy sets and 2-tuple linguistic term sets.

Main Methods:

• Development of the MULTIMOORA method under 2TSFL conditions.
• Creation of a normalized Hamming distance measure and score function for 2TSFLSs.
• Application of the proposed method to a real-world case study: selecting a mining method for the Kaiyang phosphate mine.

Main Results:

• The proposed 2TSFLS-based MULTIMOORA method effectively handles uncertainty in decision-making.
• Demonstrated applicability and realism through a practical mining selection example.
• The method shows superior performance compared to existing approaches in similar MAGDM scenarios.

Conclusions:

• The developed MULTIMOORA method within the 2TSFLS framework is a robust and efficient tool for MAGDM problems.
• The integration of SFSs and 2TLTSs provides a powerful way to represent expert linguistic assessments.
• This approach offers a comprehensive solution for complex decision-making challenges in mining design and other fields.