impreciseness


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Noun1.impreciseness - the quality of lacking precision
inexactitude, inexactness - the quality of being inaccurate and having errors
precision, preciseness - the quality of being reproducible in amount or performance; "he handled it with the preciseness of an automaton"; "note the meticulous precision of his measurements"
References in periodicals archive ?
Theory of FSs contributes the way of handling impreciseness, uncertainty and vagueness in the software metrics.
They are all sources of unspecificity and impreciseness, which do not belong to terminology as an academic discipline, a field of study or simply a reliable resource for specialists.
He said, "The reason we've tolerated the level of impreciseness in these law for decades ...
Correction factors were defined to improve the dimensioning method, because of impreciseness in several material-combinations, as shown in Figure 12.
We downgraded the rating because of the risk of bias in the studies, given that patients and clinicians were not blinded, as well as impreciseness of the treatment effect and inconsistency in results.
Therefore, PFS proves to be proficiently more capable of representing and handling vagueness, impreciseness, and uncertainties than IFS in various decision-making processes.
Zadeh [38] developed the fuzzy set theory to handle such kind of impreciseness of human subjective judgment.
Soft computing can be defined to be a collection of some computational techniques that try to imitate human intelligence for creating solution of complex problems, which attempt to overcome the impreciseness, uncertainty in the problem by some human-like capabilities such as reasoning, learning, decision making,.
There are several developed theories in the mathematical area which may be employed for modelling impreciseness and uncertainties.
Particularly, trapezoidal intuitionistic fuzzy numbers are more effective in describing impreciseness and incompleteness of a data.
Nevertheless, many researchers obtained carbon formations below that temperature indicating the impreciseness of Eq.
The fuzzy rough set model takes care of sensitiveness of noisy samples and handles impreciseness in training samples bringing robustness to results.