In the probabilistic risk aversion approach, risks are presumed as random variables with known probability distributions. However, in some practical cases, for example, due to the absence of historical data, the inherent uncertain characteristic of risks or different subject judgements from the...

Good segmentation contributes towards a better understanding of the market and customer demands. This study aims to develop a new methodological approach, integrating "Recency, Frequency and Monetary" with the sparse K-means clustering algorithm of Witten and Tibshirani (2010). The proposed...

Analogous to the way wind blows single grains of sand and the subsequent settling back atop sand dunes, we find statistical evidence to claim that the prices of cryptocurrencies exhibit similar unpredicted patterns, characterized by positive or negative jumps. Motivated by extant evidence of...

Concerning the essence of risk, a joint replenishment and delivery scheduling problem with fuzzy cost-related parameters and random number of imperfect quality items is developed to make it suitable for the inherent uncertainties of procurement-shipment process. The mathematical modeling-based...

In this paper, we propose a novel operational law for calculating the credibility distribution of monotone functions of independent regular fuzzy numbers to study the project scheduling problem with partially (or fully) fuzzy activity durations. In this regard, we formulate three corresponding...

During the recent COVID-19 pandemic crisis, several high-income countries pursued vaccine nationalism (i.e., my country first approaches for vaccine distribution), leading to an even wider income inequality between rich and poor countries. This significantly challenged the poorer countries'...