Fuzzy regression models extend traditional statistical regression by integrating fuzzy set theory to better handle imprecision and uncertainty inherent in many real-world data sets. These models ...

Linguistic summarisation seeks to transform complex numerical datasets into concise, human‐readable statements, thereby enhancing the interpretability of voluminous and often ambiguous data. Coupled ...

Fuzzy-set qualitative comparative analysis was used to identify the recipes (ie, combinations of organizational design features) that CCOPs used to achieve high levels of patient enrollment onto NCI ...

Fuzzy-set qualitative comparative analysis was used to identify the recipes (ie, combinations of organizational design features) that CCOPs used to achieve high levels of patient enrollment onto NCI ...

Although start-ups’ survival has been widely investigated, only few studies have focussed on the impact of the combined effect of firms’ internal resources. Drawing upon the resource-based view (RBV), ...

Aims: Based on the ideal type classification of European countries done in Part I of this paper, Part II explores whether the real ‘danger’ to public health is the interplay between austerity and ...