The concept of circular public procurement has been developed as an approach that extends the green public procurement one, recognising the relevance of circular economy-related dimensions in green public procurement procedures, such as resource reuse and efficiency. This notwithstanding, 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...

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...

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...

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...

Sustainable supply chain has garnered significant attention in recent years as a means of addressing various ecological and social challenges. Today, companies consistently grapple with higher levels of potential supply chain risks in their sustainable operations due to the uncertainty of the...

This paper presents an innovative approach to financial market modelling by integrating fuzzy discount factors into the decision-making process, thereby reflecting the complexities of human behaviour. Traditional financial models often fail to account for market dynamics' psychological factors....

Traditionally, business risk management models have not taken into consideration household composition for the purposes of credit granting or project financing in order to manage the risk of default. In this research, an improvement in the risk management model was obtained by introducing...

This study aims to rate the impact of the three major risks (credit, capital adequacy, and liquidity) on three financial performance measures (return on equity (ROE), earnings per share (EPS), and price-earnings ratio (PER)). This study stands out as one of the few in its field, and the only one...

Supply Chain Disaster Management (SCDM) is essential for mitigating disruptions, ensuring business continuity, and maintaining a competitive advantage. This study introduces a comprehensive decision model to assess disaster management readiness within the upstream supply chain. Through an...

Traffic congestion (TC) disrupts everyday life, elevating stress levels, extending commute durations, diminishing productivity, hampering air quality, and reducing the overall quality of life. Congestion exacerbates already-existing problems in densely populated cities and makes efficient urban...

The innovation capacity of organizations, particularly in the competitive Brazilian wine industry, plays a pivotal role in their performance and competitiveness. This study aimed to identify and validate metrics for assessing the innovation capacity of Brazilian wineries through a two-stage...

Background: Effective decision-making in supply chain contexts requires understanding how criteria interact to shape rational and transparent decision structures. This study investigates how behavioral aspects influence the structuring of decision-making logic and the interdependencies between...

In the present study, we model the migration process and the changes in the market environment. The migration process is being modeled as an F -inhomogeneous semi-Markov process with fuzzy states. The evolution of the migration process takes place within a stochastic market environment with...

Recent disruptions have led to a growing interest in studying the social dimension of sustainability and its relationship to resilience within supply chains. Social sustainability is characterized as complex, often offering anomalous data and confounding variables that are impossible to...

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...

This paper develops and implements an Autoregressive Integrated Moving Average model with an Adaptive Neuro-Fuzzy Inference System (ARIMA-ANFIS) for BTCUSD price prediction and risk assessment. The goal of these forecasts is to identify patterns from past data and achieve an understanding of the...

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...

Energy Systems Integration (ESI) involves coordinating and planning energy systems to provide reliable and affordable energy services while minimizing environmental harm. It optimizes interactions among different energy sources to achieve sustainability goals and promotes efficient resource...

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...

There are always two major sources of uncertainty in measurements related to lifetime surveys: variation among the observations and imprecision of individual observation called fuzziness. The typical statistical analysis is based on variation among the observations and does not consider the...

This study focuses on estimating reliability P[YX], where Y has a Zeghdoudi distribution with parameter a, X has a Zeghdoudi distribution with one outlier present and parameter c, and the remaining (n - 1) random variables are from a Zeghdoudi distribution with parameter b, in order for X and Y...