, which leads to a confidence interval of the parameter. But we shall also be interested in the precision when we transform … the inputs into one input, which leads to a (much wider) prediction interval. We review and extend the meta …

, which leads to a confidence interval of the parameter. But we shall also be interested in the precision when we transform … the inputs into one input, which leads to a (much wider) prediction interval. We review and extend the meta …

The interval-valued Fermatean fuzzy set theory plays an essential role in modeling the problem, which involves … decision-making problem. By keeping these points in mind, this work first establishes a few interval-valued Fermatean fuzzy … aggregation operators, such as the interval-valued Fermatean fuzzy Aczel-Alsina weighted averaging operator, the interval …

costs, which pose significant challenges. Various methodologies, including interval, fuzzy, stochastic, and fuzzy …-stochastic approaches, have been developed to address these challenges. Among these, the interval approach offers a realistic representation … of uncertainty. This study develops a green production model within an interval-based framework, incorporating interval …

Interval games are an extension of cooperative coalitional games, in which players are assumed to face payoff … uncertainty. Characteristic functions thus assign a closed interval instead of a real number. This study revisits two interval … game versions of Shapley values (i.e., the interval Shapley value and the interval Shapley-like value) and characterizes …