Topsis-Gurpreet-102003070
For : Assignment(UCS654)
Submitted by: Gurpreet Singh
Roll no:102003070
Group:3COE3
Description
This is a python package used to implement TOPSIS(Technique of Order Preference Similarity to the Ideal Solution) for MCDA(Multiple criteria decision analysis)
How to use this package:
Installation
pip install Topsis-Gurpreet-102003070
Example:
Sample dataset
| Fund Name | P1 | P2 | P3 | P4 | P5 |
|---|---|---|---|---|---|
| M1 | 0.78 | 0.61 | 5.5 | 34.7 | 10.4 |
| M2 | 0.88 | 0.77 | 5 | 58.4 | 16.26 |
| M3 | 0.61 | 0.37 | 5.9 | 39.9 | 11.7 |
| M4 | 0.76 | 0.58 | 4.2 | 57.7 | 15.81 |
| M5 | 0.84 | 0.71 | 3.2 | 48 | 13.19 |
| M6 | 0.76 | 0.58 | 4 | 68.8 | 18.54 |
| M7 | 0.81 | 0.66 | 6.5 | 38.2 | 11.54 |
| M8 | 0.81 | 0.66 | 3.2 | 32.8 | 9.37 |
Input
In Command Prompt
Enter filename followed by .csv extension, then enter values of weights separated by commas like "1,1,1,2,2",then enter values of impacts separated by commas like "+,+,-,-,+" without giving space in between comma value, then enter name of file where you want to save output followed by .csv extension
topsis data.csv "1,1,1,2,2" "+,+,-,-,+" out.csv
Output
This will be in our Output csv file
| Fund Name | P1 | P2 | P3 | P4 | P5 | Topsis Score | Rank |
|---|---|---|---|---|---|---|---|
| M1 | 0.78 | 0.61 | 5.5 | 34.7 | 10.4 | 0.5303740545041122 | 4 |
| M2 | 0.88 | 0.77 | 5 | 58.4 | 16.26 | 0.5372510220778413 | 3 |
| M3 | 0.61 | 0.37 | 5.9 | 39.9 | 11.7 | 0.4715707210914604 | 8 |
| M4 | 0.76 | 0.58 | 4.2 | 57.7 | 15.81 | 0.5099483054760279 | 6 |
| M5 | 0.84 | 0.71 | 3.2 | 48 | 13.19 | 0.57723478293325 | 1 |
| M6 | 0.76 | 0.58 | 4 | 68.8 | 18.54 | 0.49447887833737925 | 7 |
| M7 | 0.81 | 0.66 | 6.5 | 38.2 | 11.54 | 0.5244107252631429 | 5 |
| M8 | 0.81 | 0.66 | 3.2 | 32.8 | 9.37 | 0.5576533672285703 | 2 |
1 maintainer
Release files for Topsis-Gurpreet-102003070 1.0.0
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-Gurpreet-102003070-1.0.0.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Topsis_Gurpreet_102003070-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.8 kB
Release files / Topsis-Gurpreet-102003070-1.0.0.tar.gz
| Download URL | Topsis-Gurpreet-102003070-1.0.0.tar.gz |
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| Size | 3.7 kB |
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Release files / Topsis_Gurpreet_102003070-1.0.0-py3-none-any.whl
| Download URL | Topsis_Gurpreet_102003070-1.0.0-py3-none-any.whl |
|---|---|
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| Tags | Python 3 |
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