Implementing TOPSIS
Project description
This package is implementation of topsis technique of multi-criteria decision analysis.
You can install this package using following command pip install TOPSIS-Ishika-101803017
This packages will work on command line interface
- import TOPSIS-Ishika-101803017 as t
- t.topsis(InputDataFile, Weights, Impacts, resultfile)
Input specifications
- InputDataFile is path to your input csv file(eg inputfile.csv)
- weights is string in which each digit represent weight of corresponding column(eg "1,1,1,1")
- impacts are impacts of column (eg "-,+,+,+" )
- result is name of output file(eg result.csv)
PRECAUTIONS
No of weights and no of impacts should be equal to no. of columns in dataset excluding the first column Impacts must be either +ve or -ve Input file must contain three or more columns 2nd to last columns contain numeric values only
Result file contains all the columns of input file and two additional columns having TOPSIS SCORE and RANK
EXAMPLE
IF INPUT FILE IS AS FOLLOWS:
| Model | Correlation | RSeq | RMSE | Accuracy |
|---|---|---|---|---|
| M1 | 0.79 | 0.62 | 1.25 | 60.89 |
| M2 | 0.66 | 0.44 | 2.89 | 63.07 |
| M3 | 0.56 | 0.31 | 1.57 | 62.87 |
| M4 | 0.82 | 0.67 | 2.68 | 70.19 |
| M5 | 0.75 | 0.56 | 1.3 | 80.39 |
OUTPUT FILE:
| Model | Correlation | RSeq | RMSE | Accuracy | Topsis Score | Rank |
|---|---|---|---|---|---|---|
| M1 | 0.79 | 0.62 | 1.25 | 60.89 | 0.639133 | 2 |
| M2 | 0.66 | 0.44 | 2.89 | 63.07 | 0.212592 | 5 |
| M3 | 0.56 | 0.31 | 1.57 | 62.87 | 0.407846 | 4 |
| M4 | 0.82 | 0.67 | 2.68 | 70.19 | 0.519153 | 3 |
| M5 | 0.75 | 0.56 | 1.3 | 80.39 | 0.828267 | 1 |
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