Exact(6)
First, the rule strength is computed by combining the fuzzified inputs.
The cascade model employs the between-groups sum of squares (BSS) as a measure of rule strength to select these characteristic rules.
Once sequential patterns are generated, the algorithm uses rule strength parameters to filter out insignificant patterns, so that only important (significant) rules are reported.
The purpose of the fuzzy process is to find the index value which is corresponding to the maximum rule strength, and then, it will be outputted as the result.
New indices of fiscal rule strength are constructed and, using a dynamic panel econometric model for 27 EU countries over the period 1990 2012, we assess whether national fiscal rules alone help to promote sustainable public finances in the EU or whether they must be supported by good governance in order to be effective.
The rules are characterized by various parameters, such as examples (i.e., number of objects covering a given rule), strength (i.e., the proportion of objects covered by premise that are also covered by conclusion), or confirmation (i.e., measure that is quantifying the degree to which premise provides evidence for conclusion).
Similar(54)
Coordination influences may vary in strength depending on the actual context as studied for curve walking by Dürr (2005) and Dürr and Ebeling (2005), which, in Walknet, would be possible by modulating rules' strength using additional motivation units (as depicted in Fig. 4).
The negative logarithm of the p-value of a rule at a given time point reflects the regulation strength of the rule at that time.
We further compute a profile for each rule to show its regulation strengths at different time points.
Hence, both the material property (e.g. refractive index) and the topographical property (e.g. surface roughness) simultaneously rule the strength and phenomena of the interaction of light with the surface of a tablet.
In layer 2, each nodeΠis fixed whose output representing the rule firing strength is the product of the incoming input signals: {O}_{2, i}={w}_i={displaystyle {prod}_j{mu}_j}=mu {A}_i(x).mu {B}_i(x), i = 1, 2 (4).
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