Car Finder — Sudbury ON

Scoring Weights TOPSIS TOPSIS — Technique for Order Preference by Similarity to Ideal Solution.

Vector-normalises each criterion, then scores each vehicle by how close it is to a hypothetical ideal (lowest price, lowest mileage, newest, best fuel economy, fewest recalls) vs. the worst. Score = dist-from-worst ÷ (dist-from-best + dist-from-worst). Higher is better. WSM WSM — Weighted Sum Model.

Min-max normalises each criterion to 0–1, inverts it (lower raw = higher score, since all criteria are lower-is-better), then computes a weighted sum. Simpler and more transparent than TOPSIS.

Weights auto-normalised to 100%

X Axis

Y Axis

Z Axis (3D)

Colour By

Hull Group

Mode

Top rows from the current table sort/filter — adjust weights or sort the table and revisit this tab to refresh. Each axis is scaled to these cars' own best/worst value for that field (shown on the axis label) — hover a point for the actual value. With only a few cars every axis trivially has one "winner" by definition of min/max scaling; showing more reveals the actual gradient between best and worst.

Vehicle

Purchase price $30,000

Down payment 20% — $6,000

Compare Second Price

Compare another purchase price

Car B price $25,000

Same DP%, rate, term & period as Car A. Orange/purple lines on chart.

Loan

Loan term

Annual interest rate 7.00%

Investment

Annual return rate 7.00%

Represents the annual return you'd earn on the money not spent upfront (e.g. S&P 500 long-run ≈ 7% real, 10% nominal).

Comparison Period

Hold vehicle for

Monthly payment

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Total interest paid

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Total financing cost

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vs cash price

Net advantage

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opportunity-cost adjusted

Investment gain (deferred amt)

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on loan amount invested

Breakeven invest rate

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above = finance wins

Solid lines = opportunity-cost-adjusted true cost (invest the deferred amount). Dotted = nominal cash paid. Lower = better.

Used Car Finder — Sudbury, ON

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