Question: Decision Matrix for Purchasing an Electric Vehicle table [ [ Criteria , Weight ( % ) , EV Model A , EV Model B

Decision Matrix for Purchasing an Electric Vehicle
\table[[Criteria,Weight (%),EV Model A,EV Model B,EV Model C],[Initial Cost,20,7,8,6],[Range (miles),25,8,6,9],[Charging Infrastructure,20,9,7,8],[Brand Reputation,15,8,9,7],[Features and Technology,10,7,8,9],[Maintenance Cost,10,8,6,7],[Total Score,100,,,]]
Steps to Use the Decision Matrix:
Identify Criteria:
List the criteria that are important to you when purchasing an EV. Common criteria include initial cost, range, charging infrastructure, brand reputation, features and technology, and maintenance cost.
Assign Weights:
Assign a weight to each criterion based on its importance. The weights should add up to 100%. In this example, range and charging infrastructure are considered most important.
Rate Each EV Model:
Rate each EV model on a scale of 1 to 10 for each criterion, with 10 being the best. These ratings can be based on research, reviews, and personal preferences.
Calculate Total Scores:
Multiply each rating by the corresponding weight and sum the results to get the total score for each EV model.
Using the decision matrix above, create your own visualized data of 3 electric vehicles using this method. More information on Decision Matrices can be found in chapter 12, Figure 12.3. This decision matrix will be provided by you to your employer to inform the purchase of new electric vehicles for the firm. You must summarize the information from your matrix in a document to your employer and include the matrix in the summary, 1 page max
 Decision Matrix for Purchasing an Electric Vehicle \table[[Criteria,Weight (%),EV Model A,EV

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