The campaign's method also relies on subjectivity, as its very name, the "professional judgment" model, implies.
Similarity to the civil building fire evacuation (Fruin 1971), a time judgment model on miner safety evacuation can be advanced.
GRA is a judgment model for deciding influential parameters in multi-output systems using rearranged GRG according to their magnitude order.
Growing out of the Reflective Judgment Model developed by King and Kitchner [(2002). The reflective judgment model: Twenty years of research on epistemic cognition. In B. Hofer, & P. Pintrich (Eds)., Personal epistemology: The psychology of beliefs about knowledge and knowing (pp. 37 61).
A concept mapping rubric was designed using Tanner's Clinical Judgment Model to guide students (n = 8) in the construction of clinical cases for the development of appropriate clinical judgment skills.
In this paper, a novel logic judgment model for predicting stickers is presented, which is designed for more rows of thermocouples (TCs) in high density, and uses temperature change rate and vertical and horizontal detections to well recognize sticker propagation.
Considering both the relationship between the building and people, and the building and the environment, from the dual perspectives of building design and building environment control, a comprehensive judgment model for a Comfort – Satisfaction Matrix was developed to display the regulation capacity of the building's environmental performance in the passive space.
For instance, a simulation of the categorical judgment model of [12] shows that the category of a rating has a central plateau (a core) surrounded by peripheries in which the frequency of the rating decreases.
Judgment of model fit was guided by four fit indexes (Kline 2011; Byrne 2010): (a) the model chi-square statistic, (b) the comparative fit index (CFI), (c) the root mean square error of approximation (RMSEA) with it 90 % confidence interval, and (d) the standardized root mean square residual (SRMR).
Following MacGillivray and Richards [9], these analyses and evaluations focus on issues including the plausibility of modeling assumptions, precision, and bias; the adequacy of the treatment of uncertainty and the value judgments that models may implicitly or explicitly encode.
