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Discover LudwigThe phrase "Fast decision" is correct and usable in written English
It can be used when referring to a decision that is made quickly or without much deliberation. Example: "In a crisis, a fast decision can often be more beneficial than a delayed one."
Exact(48)
Fast decision making, as the second attribute that relates to the meta-organization's competence boundary, pinpoints likewise that the function of third party decision making reflects the function of the board rather than of ordinary courts.
In order to solve this problem, Hulten and Spencer proposed CVFDT (concept-adapting very fast decision tree) algorithm [7] in 2001 based on VFDT.
State Department officials have said a fast decision means a negative decision, and we need to hold them to their words.
"...we cannot make a fast decision on this one (DFF expenditure).
VFDT (very fast decision tree) [6] and CVFDT (concept-adapting very fast decision tree) [7] are two classical and impactive algorithms in incremental decision tree algorithms.
While enforceability and latitude concern the power boundaries of meta-organizations, information access and fast decision making, as further attributes of arbitration governance, are decisive for establishing the boundary of competence of a meta-organization (Santos and Eisenhardt 2005).
Similar(12)
Collaborative decision-making: Enterprise 2.0 results in perpetual, diverse, updated, relevant, efficient, and timely intellectual capital for effective and fast decision-making (Booz et al. [2010]).
This practice requires fast decision-making followed by fast writing, fact-checking and editing.
It may often make mistakes, be irrational and rely on the subconscious, but it allows for fast decision-making, vital for survival.
Whether New York, where entrenched battles over development projects are the norm, is even capable of the kind of compromise and cooperation necessary for fast decision-making at the trade center site is another question.
The advantages include fast decision-making, no single point of failure (SPOF), and low complexity.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com