Analysis of
Buy a car



Summary

BMW is the best alternative, but not with a large margin.
There are no big differences between the alternatives.
No criterion is dominating the solution.
All criteria contribute to the solution.

Overview

This report considers the task
Buy a car

The task proposes a number of 3 alternatives.
  1. BMW
    Rating: 0.341230

  2. Porsche
    Rating: 0.332526

  3. Mercedes
    Rating: 0.326244

A number of 4 criteria is considered for evaluation. The criteria are arranged in 2 groups.
  1. Buy a car
    Weight: 1.00000
    Contains groups: Fun
    Contains criteria: Price, Consumption

  2. Fun
    Weight: 0.500000
    Contains criteria: Speed, Sound

Some criteria seem to be correlated.

Stability

Changing the weights of any criterion by 10% does not change the ranking of alternatives.

Changing the weights of the following criteria by 50% changes the ranking of alternatives:


Correlation

The following criteria seem correlated:

Distribution



The following values were given in probability distributions

CriterionAlternativeDistribution
PricePorscheTriangular Distribution:
min = 60000.0
max = 90000.0
mode = 80000.0


Ensemble

Ensemble was calculated with 1000 sample counts.
For the defined distribution functions, the following ensemble values result:
  1. BMW
    Mean: 0.341144
    Std. Deviation: 0.00181626
    Min: 0.336112
    Max: 0.344606
    Rankings: 89.10, 10.90, 0.00

  2. Porsche
    Mean: 0.332719
    Std. Deviation: 0.00408660
    Min: 0.324929
    Max: 0.344041
    Rankings: 10.90, 73.70, 15.40

  3. Mercedes
    Mean: 0.326137
    Std. Deviation: 0.00227033
    Min: 0.319847
    Max: 0.330465
    Rankings: 0.00, 15.40, 84.60