what-when-how
In Depth Tutorials and Information
Deinition.4:. For a given argument, A j ,
m
c i
f j =
=
,
j
1
...
n
ij
.
=
i
1
where j is the final score for alternative A j ,
n is the number of arguments,
m is the number of criteria,
ci is the normalized weight of the attribute c i , and
gij is the performance grade (score) for argument Aj with respect to attribute c i .
Before the arguments were measured, all the attributes values should also be
first normalized into a range of [0,1] in order to decrease the effects of differences
in the numeric range of attribute values and thus allow easier and better cross-
attribute comparisons.
For normalizing the values of natural attributes, since the value of the attributes
is usually either zero or positive, but we do not know the maximum value of an
attribute, the normalized value is:
d
i
δ =
n
d
i
=
i
1
where d i is the attribute value, and n is the number of the proposals.
For normalizing the values of “support versus opposition,” since we already
knew the maximum value (“10” as “strongest support”) and minimum value (“1” as
“strongest opposition”) of this attribute, then the value can be normalized as:
d
d
min
δ =
d
d
max
min
where d i is the attribute value, d max = 10, and d min = 1
A final evaluation score is calculated based on the attribute values and their nor-
malization results. For example, the evaluation of the product manager's proposal is:
+
+
+
+
+
(
rendering_quality
friendly_UI modula
rity
encryption migration development_cost
)
Score
=
6
0 89 8 9 0 89 8 3 0 66 7 3 0 75 6 3 0
+
+
+
+ 89 7 9 0 66 6 9
+
( .
* .
.
* .
.
* .
.
* .
.
* .
.
* . )
=
=
5 95
.
6
 
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