Sentence examples for recommendations class from inspiring English sources

We classified organophosphate toxicity using the following formal World Health Organization recommendations: class Ia (extremely hazardous), class Ib (highly hazardous), class II (moderately hazardous), class III (slightly hazardous), and class U (unlikely to present acute hazard) [ 11].

where x i is a recommendation class from a recommendation set x.

After arranging the recommendations in their respective recommendation class R c i, we remove the recommendation classes with zero frequencies and calculate DF(R c i ) for each recommendation class using Equation 1. Table2 shows the sorted list of recommendation classes with respect to their dissimilarity value.

In Table2 the recommendation class R c5 has the highest deviation value, so it is taken as a suspicious recommendation class and is added to the suspicious recommendation domain (SRdomain), and its SF is calculated.

Let R c k be the kth recommendation class of R domain and SRdomain be the set of suspicious recommendation classes from R domain, i.e., SRdomain ⊆ R domain.

where k = 1,2,3…,m − 1, and m is the distinct recommendation class value number in sorted R domain.

Since median is resistent to outlier, we have proposed a dissimilarity function that captures how dissimilar a recommendation class is from the median of the recommendation set.

In order to find out the set of dishonest recommendation R domaindishonest from R domain, the mechanism defined by the proposed approach is as follows:  Let R c k be the kth recommendation class of R domain and SRdomain be the set of suspicious recommendation classes from R domain, i.e., SRdomain ⊆ R domain.

The recommendation class at the top of the sorted R domain with respect to its DF(x j ) is considered to be the most suspicious one to be filtered out as dishonest recommendation.

Next we take the union of the suspicious recommendation domain SRdomain1 and the next recommendation class in the sorted list, i.e., R c4 and calculate its SF using Equation 2. This process is repeated for each R c i of R domain until SRdomain = R domain−R c m, where m = 5.

Initially, SRdomain is an empty set, SRdomain0 =  Compute SF SRdomain k ) for each SRdomain k formed by taking the union of SRdomaink−1 and R c k. SRdomain k = SRdomain k − 1 ∪ R c k (3)  where k = 1,2,3…,m − 1, and m is the distinct recommendation class value number in sorted R domain.