Sentence examples for robust decision support from inspiring English sources

Mehrjoo and Bashiri (2013) proposed a robust decision support tool for detailed production planning based on statistical multivariate method including principal component analysis and logistic regression.

In this paper, we propose a robust decision support tool for detailed production planning based on statistical multivariate method including principal component analysis and logistic regression.

The social and ecological complexity of conservation has increased as a function of human transformation of landscapes, requiring robust decision support tools for planning.

The formulation and comparison of potential energy solutions in different contexts at different scales of analysis demands well-defined concepts and robust decision support tools.

For example, PCA has been used for facial image recognition in image analysis [19], for the analysis of hormone profiles to assess the productivity of plants [20], and as part of a robust decision support tool for facilitating industrial production scheduling [21].

Robust decision support systems are a pivotal tool for moving knowledge into routine practice and an important component of a NHII.

Therefore, robust decision-support tools for such programmes are critical for successful management and decision-making.

The NACC noted the possible overlap of the decision-support functions of the DHP tool and the DHIS, as the DHIS includes a robust decision-support tool that has similar functionalities as the DHP tool.

The main objective has been to provide robust, fast decision support aids to enhance the overall effectiveness of decision-making processes.

This systems-based design approach is formulated by establishing and integrating principles and techniques for robust design, multiobjective decision support, topology design, collaborative design, and design space exploration along with approximate and detailed simulation models.

This study implemented an enhanced multiple-pattern inverse water quality modeling (MPIWQM) approach in a water diversion study for a terminal plateau lake in southwestern China to address the difficulty of developing robust water-diversion decision support under data limitation and model uncertainty.