There are three main
problems:
- After running MCE, I found that the scale does not
reach to 255. The operational problems may present from
doing FUZZY method on major roads in GVRD (see image).
I did three times using in different types of function as Linear
and J-shaped and trying different values for control points (as J-shaped
use different value for control point) as well. Finally, the
scale of the FUZZY does not start at 0; as a result, it may be the
one reason of the MCE result cannot run properly (unable to go 255
value). Moreover, MCE doesn’t produce a suitability of 255 because
there is no location that can satisfy all the requirements of both
factors and constraints.
- The second problem is the lack of detail data for
MCE. Construction of a large-scale casino is a tough work
due to all the regulations and restrictions I was only able to get limited
information from the Internet. In reality, I will need to talk
to the person(s) or government representative who are knowledgeable
about the regulations.
- The third problem is no determination of vacant land.
While this project is designed to construct the large-scale
casino, it will require a large vacant space; at least there
are some spaces for parking lots for our customers.
In general, a multi-criteria model
may present the following aspects:
- There is no solution optimizing all
the criteria at the same time; thus, the decision maker
has to find compromised solutions for result.
- The relations of preference and indifference
are not strong enough in this approach, because when an action
is usually better than another one for some criteria but worse
for others, so that many combinations of actions remain incomparable
with respect to a dominance relation.
Thus the concept of ‘decision process’ has
an essential importance. The final outcome is more like a ‘creation’
than a discovery. With a multiple criteria decision aid the
principal purpose not to discover a solution, it sounds to construct
or create something, which is viewed, as useful to an actor taking
part in a decision process for results.