Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case...

Area of Science:

• Decision Sciences
• Operations Research
• Engineering Management

Background:

• Multi-criteria decision-making (MCDM) involves complex choices with multiple conflicting objectives.
• Existing interval MCDM methods may have limitations in handling uncertainty and group preferences.
• Accurate selection of engineering components, like hybrid vehicle engines, is critical for technological advancement.

Purpose of the Study:

• To develop and present an enhanced interval MULTIMOORA method incorporating complete interval computations.
• To propose a novel group interval Best-Worst Method (BWM) with a hierarchical structure for expert decision-making.
• To apply and validate the proposed methods in a real-world hybrid vehicle engine selection problem.

Main Methods:

• Developed an interval MULTIMOORA method using interval distances and preference matrices.
• Introduced a two-level hierarchical group interval BWM with interval preference degrees.
• Integrated objective interval weights (interval entropy) with subjective weights (group interval BWM).
• Employed the interval Borda rule for aggregation, overcoming limitations of dominance theory.
• Validated the approach using real data and expert opinions for hybrid vehicle engine selection.

Main Results:

• Presented preference-based and dominance-based ranking lists for the hybrid vehicle engine selection problem.
• Compared the proposed methods with interval TOPSIS and VIKOR using Spearman rank correlation coefficients.
• Demonstrated the practical applicability and effectiveness of the developed interval MCDM techniques.

Conclusions:

• The proposed interval MULTIMOORA and group interval BWM offer a robust framework for complex decision-making under uncertainty.
• The interval Borda rule provides a superior aggregation mechanism compared to dominance theory.
• The study successfully validates the methodology through a relevant automotive industry case study.