This study presents a novel approach to arithmetic operations and ranking of Generalized Fuzzy Numbers (GFNs) for decision-making under uncertainty. Traditional methods often yield irrational outputs when dealing with GFNs, especially in complex situations where precision and clarity are...

This study presents a hybrid fuzzy Multi-Attribute Group Decision Making (MAGDM) model with application to commercial insurance selection. The proposed hybrid model uses Spherical Fuzzy (SF) sets using Yager t-norm and t-conorm operations. The Logarithmic Decomposition of Criteria Importance...

Selecting the requirements for an information system based on their ranking values is one of the critical steps in software development. Various methods for computing the ranking order of the requirements have been developed using multi-criteria decision-making methods. This study shows...

African swine fever (ASF) is a disease outbreak that has substantially impacted agriculture, public health, and food security. This study tackles the lack of knowledge regarding the interactions between multiple factors causing the spread of ASF. We also present a potential for...

This study aims to reveal consumers' intention to purchase Electric Vehicles (EVs) based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. A hybrid fuzzy decision-making model with three stages is proposed. First, the experts' weights are computed using an artificial...

This research examines the factors that influence the implementation of green procurement in small and medium enterprises (SMEs), namely top management commitment, regulations, costs, pressure from consumers, and transformational leadership as moderation. The research employs a quantitative...