topsis_arjun_102017005
What is TOPSIS
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in 1981 as a multi-criteria decision analysis method.
TOPSIS is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution (PIS) and the longest geometric distance from the negative ideal solution (NIS).
Installation
pip install Topsis-Arjun-102017005
How to use it?
Command Prompt
Topsis-Arjun-102017005 input.csv "1,1,1,1,1" "+,-,+,+,+" output.csv
Command Prompt
Topsis-Arjun-102017005 <python_file> <Input Data File> <Weights> <Impacts> <Result File Name>
Input csv format
Input file contain three or more columns
First column is the variable/quantity name
From 2nd to last columns contain numeric (int/float) values only
Example:
topsis topsis.py inputfile.csv “1,1,1,1,2” “+,+,+,+,-” result.csv
Note: The weights and impacts should be ',' seperated, input file should be in pwd.
Sample input data
| Model | P1 | P2 | P3 | P4 | P5 |
|---|---|---|---|---|---|
| M1 | 0.62 | 0.38 | 3.8 | 33.8 | 9.65 |
| M2 | 0.75 | 0.56 | 5.7 | 50.3 | 14.33 |
| M3 | 0.95 | 0.90 | 6.5 | 65.6 | 18.49 |
| M4 | 0.61 | 0.37 | 6.2 | 43.6 | 12.70 |
| M5 | 0.60 | 0.36 | 6.4 | 61.2 | 17.14 |
| M6 | 0.76 | 0.58 | 5.3 | 68.0 | 18.66 |
| M7 | 0.66 | 0.44 | 6.2 | 47.2 | 13.63 |
| M8 | 0.80 | 0.64 | 5.7 | 37.1 | 11.06 |
Sample output data
| Model | P1 | P2 | P3 | P4 | P5 | Performance Score | Topsis Rank |
|---|---|---|---|---|---|---|---|
| M1 | 0.62 | 0.38 | 3.8 | 33.8 | 9.65 | 0.317272185 | 8 |
| M2 | 0.75 | 0.56 | 5.7 | 50.3 | 14.33 | 0.452068871 | 4 |
| M3 | 0.95 | 0.90 | 6.5 | 65.6 | 18.49 | 0.689037307 | 1 |
| M4 | 0.61 | 0.37 | 6.2 | 43.6 | 12.70 | 0.340383903 | 7 |
| M5 | 0.60 | 0.36 | 6.4 | 61.2 | 17.14 | 0.367206376 | 6 |
| M6 | 0.76 | 0.58 | 5.3 | 68.0 | 18.66 | 0.481350901 | 3 |
| M7 | 0.66 | 0.44 | 6.2 | 47.2 | 13.63 | 0.372999972 | 5 |
| M8 | 0.80 | 0.64 | 5.7 | 37.1 | 11.06 | 0.51226635 | 2 |
Release files for Topsis-Arjun-102017005 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Topsis_Arjun_102017005-1.0.2.tar.gz | 4.2 kB | Details |
Release files / Topsis_Arjun_102017005-1.0.2.tar.gz
| Download URL | Topsis_Arjun_102017005-1.0.2.tar.gz |
|---|---|
| Size | 4.2 kB |
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