Sentence examples for crossing efficiency from inspiring English sources

Subsequently, two important indicators (proportion of delay in the crossing time, i.e. PDC, and local density level, i.e. LDL) are introduced into the evaluation of pedestrian crossing efficiency and comfort level respectively.

To improve the discrimination of DEA, some DEA methods including super efficiency, multiple criteria DEA, and cross efficiency were presented in the literature of DEA (Angulo-Meza and Lins 2002).

The in vivo results of measuring the analgesic effect using the hot-plate test evidenced that the designed PLGA loperamide-loaded nanoparticles are able to efficiently cross the BBB, with high crossing efficiencies when their surface is functionalized with an active targeting moiety (a monoclonal antibody against the transferrin receptor).

In this paper, a cross-efficiency DEA approach is applied to solve this problem.

The novel method integrates the cross-efficiency Data Envelopment Analysis (DEA) and fuzzy set theory to manage the SCND problem considering nondeterministic input and output data.

The paper deals with multiple optimal solution cases within the context of cross-efficiency models and suggest a model that is most appreciative for all DMUs being cross-evaluated by all others.

This paper uses the advantage of multiple optimal solutions, be in the cases of efficient and/or inefficient DMUs, to integrate both the first and second-order voices of all DMUs and proposes a most appreciative cross-efficiency DEA method.

The occurrence of multiple optimal solutions is an important and interesting issue in data envelopment analysis (DEA), for it allows flexibility to estimate the optimal cross-efficiencies of all decision making units (DMUs).

However, cross-efficiency ranking method is inherently compromised by the existence of multiple optimal weights.

Authors suggested a cross-efficiency matrix to rank units against self-appraisal weighting systems.

The model incorporates DEA cross-efficiency into Markowitz mean variance model and deliberates return, risk, and efficiency of the portfolio.