Sentence examples for calculating the truth from inspiring English sources
The task of defining validity for modal wffs is complicated by the fact that, even if the truth values of all of the variables in a wff are given, it is not obvious how one should set about calculating the truth value of the whole wff.
Varying conventions for calculating the truth values of atomic formulas containing empty singular terms yield three distinct species of free logic: negative, positive and neutral.
Neutral semantics are of two types: ordinary neutral semantics, which provide conventions for calculating the truth values of complex formulas directly from their components, even when there are empty terms, and supervaluational semantics, which calculate the truth values of complex formulas by considering all the values that their components could have if their empty terms had referents.
Precise new rules are introduced to calculate the truth value of compound statements that contain statements with intermediate truth-values.
Clauses, and (5) allow us to calculate the truth value of any sentence at any world on a given valuation.
Except for uncertain inference, the uncertain set has also been used to uncertain logic (Liu [18]) as a tool to calculate the truth value of an uncertain proposition.
The many-valued logician must first vindicate the analogy by providing details about how to calculate the truth-values of vague statements from the truth-values of their component statements.
Before calculating the accuracy, we first transform the gray images in Fig. 16 (the ground truth) into binary images.
For each of these assignments the truth tables for the operators then enable one to calculate the resulting truth value of the whole wff; the wff is valid if and only if this truth value is truth in each case.
The PM value uses the manually generated ground truth as a standard to calculate the accuracy of the system.
Stand-alone computer ratings of the likelihood that a case was Grade III (0 100 scale) were compared to the ground truth by calculating the Area Under the ROC Curve (AUC) using the trapezoidal rule and, by viewing the AUC as a binomial proportion [ 24], an exact binomial 95%% confidence interval of the trapezoidal AUC was obtained.
