"degrees of condition" is correct and it can be used in written English.
It is typically used to refer to the severity of an illness or state of being. For example: The patient's condition was very serious, with several degrees of condition that affected their overall health.
Finally, Shannon's fusion algorithm based on equivalence relations or coverings, involved in the significance degree of condition attributes set with respect to a sample, conditional probability and information entropy, is presented to calculate the uncertainty degree of a decision, respectively.
The degree of condition dependence was estimated as the extent to which bears killed salmon that exhibited varying degrees of senescence.
We related senescence rates in six populations to (1) the overall rate of extrinsic mortality, and (2) the degree of condition dependence in this mortality.
To date, however, studies of senescence in nature have not evaluated the relative importance of extrinsic mortality per se (i.e., condition-independent) versus the degree of condition dependence in extrinsic mortality.
Our goal was to determine whether variation in senescence was best explained by rates of extrinsic mortality (classic ETS) or the degree of condition dependence in extrinsic mortality (condition-dependent ETS).
In our study area, extrinsic mortality in breeding salmon is driven primarily by bear predation, which varies dramatically in intensity ("predation rate") and the degree of condition dependence ("predator selectivity").
We found that the degree of condition dependence in extrinsic mortality was very important in driving senescence: populations where bears selectively killed fish showing advanced senescence were those that senesced least rapidly.
We assessed the relative importance of overall rates of extrinsic mortality versus the degree of condition dependence in extrinsic mortality by examining rates of senescence in breeding sockeye salmon (Oncorhynchus nerka Walbaum in Artedi, 1792) subject to predation by brown bears (Ursus arctos Linnaeus, 1758).
In this regard, both the level of heritable variation and the degree of condition dependence are potentially relevant [ 11].
We chose the measure of the depended degree of condition attributes by class attributes as the basis for selecting informative genes.
This transformation or comparison between fuzzy sets as points in the unit hypercube involves a dynamic where symmetry breaking and restoration to a degree of conditions and a subsethood relation of known measured variables characterizes the action.
