Sentence examples for using the closeness coefficient from inspiring English sources

The overall ranking of alternatives is obtained using the closeness coefficient.

Using Eq. (8), the closeness coefficient of each alternative is calculated (Table 3).

Calculating the closeness coefficient of each alternative using Eq. (8) and selecting the alternative with the highest closeness coefficient: begin{aligned} C_i =frac{mathop sum nolimits _{j=1}^m w_j (1-v_{ij} )}{mathop sum nolimits _{j=1}^m w_j (1+pi _{ij} )}, end{aligned} (8) where (i=1,2,ldots,n) and (w_j ) is the weight of the jth attribute.

The closeness coefficient C for each CSF is obtained by using Eq. (11).

The closeness coefficient value is then computed from Eq. (10).

The measurement of the closeness coefficient is conducted by referring to Eq. (21).

The closeness coefficient is always between 0 and 1, where 1 is the preferred action.

In this analysis, the weights of the attributes are changed, and the change in the closeness coefficient is measured.

The maintenance strategies are then ranked from the highest to the lowest according to the closeness coefficient value.

Rank all the alternatives (a_{i}) (i 1,  2,  (ldots, ) 5) according to the closeness coefficient (r(x_{i})).

The closeness coefficient of each alternative (C i ) is calculated as follows: C_{i} = frac{{S_{i}^{{S_{i}^ + S_{i}^,i,,i = 1,,2,, ldots,mm (24).