Sentence examples for identification decision from inspiring English sources

The project portfolio management measurement model validated is composed by a set of 11 processes as follows: knowledge of the organizational context; opportunity identification; decision criteria; classification; selection, prioritization, optimization and sequencing; balancing; approval; resource allocation; formation of portfolio; and project portfolio management infrastructure.

The main objectives of this paper are to introduce the crucial knowledge identification decision process, to present the conceptual and functional architectures of K-DSS and to illustrate its utility through a real-world case study conducted in an automobile company.

Regarding the identification decision making, given a tested image, we calculate all the confidence measures and over the image database of by using FJLT and RI-FJLT hashing, and make the identification decision correspondingly by selecting the highest one among and.

HMM approaches that combine multiple features can be divided into three main categories: feature fusion or direct identification; decision fusion or separate identification (known also as late integration); and model fusion (early/intermediate integration) [8].

The authors of one recent paper (Wells et al., 2015a) presented an analysis of the relative amount of information gained from an identification decision (either positive or negative) under a range of different conditions, such as whether the lineup was conducted using a sequential or simultaneous procedure or whether the fillers were similar or dissimilar to the suspect.

In the sequential task, we assumed that our "witnesses" were asked to make a yes-or-no identification decision for each individual in the six-person lineup using a set of simple rules: Any strength above criterion resulted in a positive identification, a positive identification ended the procedure, and only a single "lap" through the photographs was allowed.

The major components of the content-based fingerprinting framework include hash generations and the joint decision-making process which should take advantage of the combinations of the hashes to achieve a superior identification decision-making.

Fig. 4 Bayesian measures of eyewitness identification decisions.

How should the accuracy of eyewitness identification decisions be measured, so that best practices for identification can be determined?

There is every reason to believe that ROC analyses will be just as important to understanding eyewitness identification decisions.

The highest-confidence identification decisions are those that are most valuable to the legal system because they carry the greatest probative value (Wixted, Mickes, Dunn, Clark, & Wells, 2016).