This study aimed to identify joint longitudinal trajectories of physio-cognitive aging, determine the temporal precedence between physical and cognitive decline, and evaluate both the mediating role ...

Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...

The patient-reported measures evaluated in this study showed moderate or weak correlations with objective measures of physical function. Correlation between patient-reported physical function and ...

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Machine learning has emerged as a powerful tool for extracting patterns, making predictions, and solving complex problems across various domains, from structured data analysis, natural language ...

Abstract: This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers ...

ABSTRACT: This paper is comprised of the modeling and optimization of a multi objective linear programming problem in fuzzy environment in which some goals are fractional and some are linear. Here, we ...

Abstract: The conventional Linear Programming (LP) model requires the parameters to be known as constants. In the real world, however, the parameters are seldom known exactly and have to be estimated.