The purpose of this study is to evaluate Exogenous Risk Factors (ERFs) affecting Key Performance Indicators (KPIs) in automotive supply chains, aiming to enhance resilience against global disruptions. The primary research question focuses on identifying and prioritizing ERFs that pose the...

This study aims to determine the most important component of economic freedom and to rank the performance of countries using multiple criteria decision-making tools within the context of fuzzy set theory. To do so, we utilize a combination of fuzzy entropy weighting and fuzzy technique for order...

Poverty is one of the most important global socio-economic problems. Despite a strong interest in this phenomenon, there is no unified concept for measuring it. It is difficult to quantify due to the diversity of the dimensions of perceived poverty, particularly subjective ones. Thus, the aim of...

We estimate the difference in direct healthcare costs of individuals diagnosed with diabetes depending on their glucose level, considering different timespans and subgroups. Using data from administrative registers of 285,450 individuals in Catalonia from 2013 to 2017, we used a fuzzy regression...

This study investigates the contribution of Mozambique's flagship social pension programme, the Programa de Subsídio Social Básico, to building resilience against shocks. Applying a fuzzy regression discontinuity approach to bespoke survey data, we separate direct effects of programme...

The purpose of this study was to investigate the barriers and drivers of digitalization in small- and medium-sized enterprises (SMEs). Specifcally, the study aimed to identify the key factors infuencing the adoption and implementation of digital technologies in SMEs, understand the challenges...

Background: This study introduces a novel supply chain management (SCM) model tailored for the hospital industry in Thailand. The model emphasises the integration of third-party logistics (3PL) providers to streamline supply-processing-distribution (SPD) functions. By outsourcing non-core...

We revisit the issue of Intimate Partner Violence (IPV) during the COVID-19 pandemic asking three questions: whether IPV increased with lockdown, what pandemic-specific 'shocks' or 'stressors' had the greatest impact and how the results change when different measures of IPV are used. Leveraging...

The cryptocurrency market offers attractive but risky investment opportunities, characterized by rapid growth, extreme volatility, and uncertainty. Traditional risk management models, which rely on probabilistic assumptions and historical data, often fail to capture the market's unique dynamics...

The development of a country cannot be realized only through the amount of energy it produces and its industrialization. In a country where its people are left homeless and poor, and its cultural and natural riches are destroyed, the electricity produced is not a measure of development on its...

As countries worldwide grapple with the urgent need to mitigate climate change, adopting low-carbon energy sources has become a top global priority. This priority is particularly emphasized in the European Union (EU), with various initiatives, policies, and regulations to promote renewable...

In risk assessment, numerous subfactors influence the probabilities of the main factors. These main factors reflect adverse outcomes, which are essential in risk assessment. A Bayesian network can model the entire set of subfactors and their interconnections. To assess the probabilities of all...

Crypto assets have become increasingly popular in recent years due to their many advantages, such as low transaction costs and investment opportunities. The performance of crypto exchanges is an essential factor in developing crypto assets. Therefore, it is necessary to take adequate measures...

Background: The supplier selection process (SSP) has grown as a crucial mechanism in organizations' supply chain management (SCM) strategies and as a foundation for continuously gaining a competitive advantage. The concept of the circular economy has garnered significant interest due to its...

The impact of logistics performance in the era of sustainable mobility on the overall economic development of a country is inevitable. It can even be said to represent an extremely important component in identifying economic conditions and provides the possibility of defining adequate...

Several life contingency agreements are based on the assumption that policyholders have impaired life expectancy attributable to factors, such as lifestyle, social class, or preexisting health issues. Quantifying two crucial variables, augmented death probabilities and the discount rate of...

Organizations disclose environmental, social, and governance (ESG) information for various reasons, including mandatory reporting regulations. However, for environmentally sensitive corporations, ESG disclosure is not only a regulatory obligation. It also has the potential to promote corporate...

This study proposes an integrated framework for successfully implementing collaboration strategies in supply chain (SC) management using a fuzzy decision-making trial and evaluation laboratory (DEMATEL) and multi-criteria decision-making (MCDM) approach. The study analyses and measures the...

This study presents an integrated supply chain network with suppliers, manufacturers, assemblers, and customers. The proposed model considers a U-shaped assembly line with three sustainability objective functions. We consider assumptions considering different types of raw materials, multiple...

Train is a popular mode of ground transportation due to the ability to accommodate a large number of passenger, save time, avoid traffic congestion, offer cost-effective fares, and provide a relatively high level of safety. These benefits contribute to an annual increase in passenger numbers,...

Infrastructural projects based on public-private partnership (PPP) schemes usually struggle with large amounts of resources. Given such projects' relatively long lifetime, it is expected to encounter a wide range of risks when executing them. This implies that increasing productivity based on...

The intuitionistic fuzzy differential equation (IFDE) is a robust mathematical tool that can deal with problems arising from model uncertainties. Intuitionistic sets are generalized sets of fuzzy sets. They establish that IFDE comprises an intuitionistic number characterized by membership and...

Spam emails are unwanted and unsolicited messages. The major problems in email spam detection methods are low detection rates and a high likelihood of false alarms. This study proposes a hybrid correlation-based deep learning model for email spam classification using a fuzzy inference system....

The approach of evaluating the fnal scores of multi-criteria decision-making (MCDM) methods according to the strength of association with real-life rankings is interesting for comparing MCDM methods. This approach has recently been applied mostly to fnancial data. In these studies, where it is...

Numerous expansions of fuzzy sets have been proposed to manage uncertain information in real-world problems. Unlike fuzzy sets and intuitionistic fuzzy sets, picture fuzzy sets independently consider membership, non-membership, and indeterminacy. They have been extensively employed to delineate...

Fuzzy fractional differential has the strength to capture the senses of memory and uncertainty simultaneously involved in dynamical systems. However, a solution for fuzzy fractional differential equations is not always found regularly. This paper discusses a numerical solution approach for the...

The knowledge measure of fuzzy sets (FSs) has drawn greater attention and is still unresolved since it is the complementary idea to fuzzy entropy. The amount of knowledge is important in evaluating fuzzy information. This study proposes an exponential entropy-based knowledge measure for fuzzy...

The world population is vulnerable to emerging and possibly re-emerging infectious diseases. Climate change, globalization, increased travelling, and urbanization are dynamic factors behind disease emergence and reemergence. This study formulates and analyzes a model with five inputs, viz....

This study aims to assess the container terminal choice from the perspective of shipping lines. The method incorporates the technique for order of preference by similarity to the ideal solution (TOPSIS) under fuzzy environmental conditions, the analytic hierarchy process (AHP), and cumulative...