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Specifically, a class membership was generated for each individual from a multinomial distribution using the posterior class probability, and then a Cox model was fit to assess the effects of latent classes on POAG.
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To recruit physicians, a roster of potential physician participants was generated using membership lists from, e.g., local professional societies, asthma coalitions, and yellow-pages listings.
The membership values are generated from the mapping of a value (crisp value) onto a membership function.
Hence, a new set of input membership functions are generated while discarding the initial ones.
As mentioned earlier, values and ranges of these membership functions are generated by heuristic approach.
Membership is generally for life.
Utilizing the concept of reference function, 3-D membership functions can be generated through location transformation.
After the fuzzy sets of each numerical feature are obtained, the corresponding membership function can be generated for each fuzzy set.
Datasets for verification of subfamily membership using phylogenetic analysis were generated by adding the sequences of interest to the appropriate one of four reference sequence sets which were each composed of sequences from selected species and from one of four KAP-β subfamily groupings only.
The random numbers are generated for membership numbers of the fuzzy function.
Implementing strategies 1 and 2 by increasing the number of membership functions and how these were generated resulted in an evolution of fitness shown in Figure 3b, c.
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