Enhancing Contractor Selection Process by a New Interval-Valued Fuzzy Decision-Making Model Based on SWARA and CoCoSo Methods

Abstract

Contractor selection is a crucial aspect of construction projects, with a significant impact on project success. However, traditional methods may not effectively handle the complexities and uncertainties involved in decision-making. To address this, advanced techniques like Multi-Criteria Decision-Making (MCDM) have been developed. In this study, we propose a new approach based on two uncertain methods, Interval-Valued Fuzzy Step-Wise Weight Assessment Ratio Analysis (IVF-SWARA) and Interval-Valued Fuzzy Combined Compromise Solution (IVF-CoCoSo), for contractor selection in construction projects. These methods use interval-valued fuzzy numbers (IVFNs) to handle decision-making under uncertainty and imprecision. By leveraging the benefits of IVFNs, the proposed methods enhance accuracy and flexibility, enabling more informed and reliable decisions. An application example illustrates the effectiveness of the methods, and sensitivity analysis examines how varying criteria weights affect contractor rankings. The study concludes that the IVF-SWARA and IVF-CoCoSo methods assist decision-makers in selecting suitable contractors and achieving project success. These methods provide a robust framework to navigate complexities and uncertainties, leading to improved decision-making in contractor selection for construction projects.

A DEA Game Cross-Efficiency Model with Loss Aversion for Contractor Selection

“…The method can handle information about the relative importance of criteria and subjective preferences of experts. To address the complexity and uncertainty of contractors, Karami et al [20] propose a new approach using the interval-valued fuzzy step-wise weight assessment ratio analysis and the interval-valued fuzzy combined compromise solution for contractor selection in construction projects. Rivero Gutiérrez et al [21] apply the ELmination Et Choice Translating REality (ELECTRE) approach for evaluating and selecting project contractors.…”

SHARDA–ARAS: A Methodology for Prioritising Project Managers in Sustainable Development

“…Decision makers require a robust methodology to address the intricacies of this issue, ensuring a comprehensive and transparent decision-making process. It requires a method that seamlessly integrates algorithms, applied mathematics, complex variables, decision theory, decision analysis, engineering mathematics, and interdisciplinary mathematics, all of which play pivotal roles in MCDM while simultaneously acknowledging the subjective nature of criteria weights [10][11][12].…”