Decision-Making Techniques Based on q-Rung Orthopair Probabilistic Hesitant Fuzzy Information: Application in Supply Chain Financing

The influence of COVID-19 on individuals, businesses, and corporations is indisputable. Many markets, particularly financial have been severely shaken suffered significant losses. Significant issues arisen in supply chain networks, terms financing. consequences had a effect financing (SCF), which responsible for finance components improved performance. primary source providers. Among providers, the banking sector referred to as Any hiccup operational systems can massive process. In this study, we attempted comprehend key epidemic how mitigate COVID-19’s impact Pakistan’s industry. For this, three extended hybrid approaches consists TOPSIS, VIKOR, Grey are established address uncertainty under q-rung orthopair probabilistic hesitant fuzzy environment with unknown weight information decision-making experts well criteria. study split into parts. First, novel (qROPHF) entropy measure using generalized distance qROPHF determine weights attributes. second part techniques (TOPSIS, GRA) form algorithm tackle uncertain settings. Last real-life case Pakistan analyze effects emergency situation Pakistani banks. Therefore, help government, chose best alternative list consider five alternatives (investment, government support, propositions brands, channels, digital markets segments) by proposed that minimize results indicate applicable effective cope ambiguous data challenges.