Homeworklib Q&A #1259 - In this exercise, please use the weighted criteria matrix
Solution (weight 4 ?? 5 ?? 3 ?? 10) Financial Capabilit y ?? (weight 13 4 ?? 5 ?? 8) Energy Efficienc y 2 (weight
? ? 3 ?? 4 ?? 6) Manage ment plan (weight 2 ?? 4 ?? 3 ?? 10) TOTAL POINTS ?? ?? ??
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Homeworklib: Your Answer
Company 2 is the winner of the project, based on their weighted order of priority.
A weighted criteria matrix is a decision-making tool that is particularly useful when there are only a few good options available and a decision must be made between them.
It is done by weighing decisions, as the phrase implies, and it can be applied to any form of decision-making process.
The first step is to figure out what your possibilities are.
In this scenario, the decision is to select the best firm to do the job, with possibilities including company 1, company 2, and company 3.
The second stage is to establish the criteria that will be used to make the decision. Criteria will always be different and will be determined by the type of choice to be made.
In this situation, the company's selection criteria are based on its financial performance.
Design solution | 10 |
Finanncial capabilities | 8 |
Energy efficiency | 6 |
Management plan | 10 |
The third step is to give each item in the criteria a weight value.
These were already present in the problem, and the corresponding weight values are as follows:
The higher the weighted value, the more relevant that factor is in terms of the decision to be made. Design solution and management strategy earned the highest assigned values in this category. This indicates that the company's design solution and management plan take precedence over its financial competence and energy efficiency while evaluating its proposal.
It's worth noting that the weight values can also be stated as a percentage.
The fourth step is to use a range to score your selections based on how closely they comply to your requirements.
This problem was graded on a scale of 1 to 5, and the results are displayed below.
Criteria | Company 1 | Company 2 | Company 3 |
Design solution | 4 | 5 | 3 |
Financial capabilities | 3 | 4 | 5 |
Energy efficiency | 2 | 3 | 4 |
Management plan | 2 | 4 | 3 |
The fifth step is to determine the final score for each option. This is accomplished by multiplying the scores by the weight assigned to each condition.
Criteria | Weight per criteria | Company 1 | Company 2 | Company 3 |
Design solution | 10 |
40
(Score of 40 x Weight of 10) |
50
(Score of 5 x 10) |
30
(Score of 3 x 10) |
Financial Capability | 8 |
24
(Score of 3 x 8) |
32
(Score of 4 x 8) |
40
(Score of 5 x 8) |
Energy efficiency | 6 |
12
(Score of 2 x 6) |
40
( Score of 4 x 10) |
30
(Score of 3 x 10) |
Management plan | 10 |
20
(Score of 2 x 10) |
40
(Score of 4 x 10) |
30
(Score of 3 x 10) |
TOTAL | 96 | 140 | 124 |
The sixth step is to rate each choice in weighted order of relevance after you've finished the calculations. The following is the ranking.
1. Company 2
2. Company 3
3. Company 1
References.
Pamučar, D., & Janković, A. (2020). The application of the hybrid interval rough weighted Power-Heronian operator in multi-criteria decision making. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 54-73.
Buck, A. R., Anderson, D. T., Keller, J. M., Wilkin, T., & Islam, M. A. (2020, July). A weighted matrix visualization for fuzzy measures and integrals. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-8). IEEE.
Miao, S., & Su, H. (2021). Bipartite Consensus for Second-Order Multiagent Systems With Matrix-Weighted Signed Network. IEEE Transactions on Cybernetics.
Şahin, M., Uluçay, V., & Acıoglu, H. (2018). Some weighted arithmetic operators and geometric operators with SVNSs and their application to multi-criteria decision making problems. Infinite Study.
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