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The second example, which includes the target value of criteria as well as interval data in some criteria, describes the problem of selecting materials for the femoral component of a total knee replacement.
Table 5 Typical value of criteria in Wuxi taxi industry Criteria Mean Max Min Std.
During querying, the pattern of lookups between the UC_STRUCTURE and UC_FIKHB_HIERARCHY tables is dependent upon the value of criteria C (described below).
where i is the index for different code sets, j is the index for different criteria, ρ j is the weighted coefficient of criteria j and ρ 1+ρ 2+⋯+ρ 5=1, c v i,j is the criterion value of criteria j and code set i, (overline {{cv}_{j}}) is the mean value of criteria j over all different code sets, and R i is the result of performance in percentage or cost function.
For example: a set of numerical value of criteria (i) is defined as (X_{n}), where (n={ {1,2,3}}, quad n) = 1 is user assigned individual numerical value, (n) = 2 is normalised numerical value which is computed from user history which is defined as ( mathrm{count};(max _{{n in N}} n_{i} /mathrm{total});10, n) = 3 is the group numerical value between 0 and 10.
Meanwhile the value of criteria is calculated until the algorithm satisfies the stopping condition and obtains the final clustering results.
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In contrast, if the value of criterion is preferred when lower, it will be the cost criterion.
Step 2: Suppose the maximum and minimum value of criterion c is ( {v}_c^{max} ) and ( {v}_c^{min} ) respectively, xc is the benefit-type criterion outcome.
The great value of criterion parameter illustrates the high degree of conformity of the model of the plane wave front and experimentally observed ionospheric perturbation.
Tables 29 and 30 show the +10% modification to the value of criterion recoverable oil and the effect it has on the ranking sets, respectively.
The numerical value of criterion (i) ((C_{i})) is the total number of the highest value ((n_{i})) of criterion amongst all criteria ((C_{n})) (in same hierarchy level, where (n) is the sub-set of all Criteria (N)) in a user's history which is represented as: (mathrm{count};(max _{{n in N}} n_{i} )).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com