2 Theoretical Aspects of Multi-criteria Decision-Making …
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tend to consider ranking, accommodation and teaching factors as options to consider
before applying. Having a designed criteria assist to match our drawn criteria.
STEP 5 Analyzing the Alternatives:
After getting the relative options in line with our objectives, it is now important to
evaluate our options simultaneously. This will assist us to consider consequences
associated with our options. The result obtained can assist our logical conclusion on
each evaluation. It is however advisable to always consider option looking critically
into our objectives so as to have a potential gain with less risks involved.
STEP 6 Calculations:
This step introduces us to the use of data collected as mentioned to calculate and
select the best score to consider. This step enables us to obtain result by selecting
and picking the product of score for each criterion, getting the weight and then sum
the scores together. We obtain the final score when we add all the scores together
choosing the option with the best scores.
STEP 7 Reporting the Results:
This process tends to document every detailed desirable results obtained from the
previous options. This process assists in preserving all this as a document for future
use.
2.4 The strength of the usage of the MCDA
MCDA gives us various processes that are advantageous when compared to other
decision-making tools that are not affiliated to any specific criteria, these include the
following:
• It is not vague
• It can be adopted for different scenario simply
• It is rational
• It can be applied in various area
• MCDA assist in making decision
• Data combination could ease the decision maker work
Many theories can be applied to this study which can also be summarized showing
their advantages.
“Data Envelopment Analysis” (DEA) has the advantage of analyzing numerous
input and output with considering and measuring the efficiency togerher (Charnes
et al. 1978). In other words, DEA is applicable to many fields such as, economics,
medicine, software engineering, road safety, utilities, computer technology, agriculture and solving many business problems. DEA is considerably favorable in resolving
problems giving a precise output.
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tend to consider ranking, accommodation and teaching factors as options to consider
before applying. Having a designed criteria assist to match our drawn criteria.
STEP 5 Analyzing the Alternatives:
After getting the relative options in line with our objectives, it is now important to
evaluate our options simultaneously. This will assist us to consider consequences
associated with our options. The result obtained can assist our logical conclusion on
each evaluation. It is however advisable to always consider option looking critically
into our objectives so as to have a potential gain with less risks involved.
STEP 6 Calculations:
This step introduces us to the use of data collected as mentioned to calculate and
select the best score to consider. This step enables us to obtain result by selecting
and picking the product of score for each criterion, getting the weight and then sum
the scores together. We obtain the final score when we add all the scores together
choosing the option with the best scores.
STEP 7 Reporting the Results:
This process tends to document every detailed desirable results obtained from the
previous options. This process assists in preserving all this as a document for future
use.
2.4 The strength of the usage of the MCDA
MCDA gives us various processes that are advantageous when compared to other
decision-making tools that are not affiliated to any specific criteria, these include the
following:
• It is not vague
• It can be adopted for different scenario simply
• It is rational
• It can be applied in various area
• MCDA assist in making decision
• Data combination could ease the decision maker work
Many theories can be applied to this study which can also be summarized showing
their advantages.
“Data Envelopment Analysis” (DEA) has the advantage of analyzing numerous
input and output with considering and measuring the efficiency togerher (Charnes
et al. 1978). In other words, DEA is applicable to many fields such as, economics,
medicine, software engineering, road safety, utilities, computer technology, agriculture and solving many business problems. DEA is considerably favorable in resolving
problems giving a precise output.