| Name | Topsis-Kashish-102117150 JSON |
| Version |
1.0
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| home_page | |
| Summary | A package for performing TOPSIS analysis |
| upload_time | 2024-01-29 12:30:04 |
| maintainer | |
| docs_url | None |
| author | Kashish |
| requires_python | |
| license | |
| keywords |
python
topsis
|
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# Topsis Implementation
This package is used for topsis implementation, published by Kashish, roll number- 102117150, group- 3CS6.
## Overview
This Python package implements the Topsis (Technique for Order Preference by Similarity to Ideal Solution) algorithm. Topsis is a multi-criteria decision-making (MCDM) method that helps in choosing the best alternative from a set of alternatives based on their performance on multiple criteria.
## Installation
To install the package, use the following command:
pip install topsis-Kashish-102117150
## Data
Fund Name,P1,P2,P3,P4,P5
M1,0.79,0.62,4.8,66.6,18.2
M2,0.69,0.48,5,46.9,13.27
M3,0.77,0.59,3.3,43.9,12.14
M4,0.82,0.67,3.2,67,17.92
M5,0.65,0.42,5.9,34.9,10.47
M6,0.8,0.64,4.8,66.8,18.26
M7,0.75,0.56,3.9,31.7,9.23
M8,0.83,0.69,4.1,55.9,15.38
## Usage
In the terminal,
python 102117150.py 102117150-data.csv "1,1,1,1,1" "+,-,+,-,+" 102117150-result.csv
where,
input_data.csv: The input CSV file containing the decision matrix. You can use the file 102117150-data.csv .
"1,1,1,1,1": Comma-separated weights for each criterion.
"+,-,+,-,+": Comma-separated impacts for each criterion (either '+' or '-').
output_result.csv: The desired name for the output CSV file containing Topsis scores and ranks. You can see the results in file- 102117150-result-1.csv for the respective weights and impacts.
## Result
Fund Name,P1,P2,P3,P4,P5,Topsis Score,Rank
M1,0.79,0.62,4.8,66.6,18.2,0.7879309024122741,6
M2,0.69,0.48,5.0,46.9,13.27,0.4602057102586321,1
M3,0.77,0.59,3.3,43.9,12.14,0.3424774958156483,8
M4,0.82,0.67,3.2,67.0,17.92,0.6236353942759449,4
M5,0.65,0.42,5.9,34.9,10.47,0.3924844873537729,2
M6,0.8,0.64,4.8,66.8,18.26,0.7998958662123036,5
M7,0.75,0.56,3.9,31.7,9.23,0.23219941041702397,3
M8,0.83,0.69,4.1,55.9,15.38,0.6259888691115867,7
```bash
pip install topsis-Kashish-102117150
Raw data
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"description": "\r\n# Topsis Implementation\r\r\nThis package is used for topsis implementation, published by Kashish, roll number- 102117150, group- 3CS6.\r\r\n## Overview\r\r\nThis Python package implements the Topsis (Technique for Order Preference by Similarity to Ideal Solution) algorithm. Topsis is a multi-criteria decision-making (MCDM) method that helps in choosing the best alternative from a set of alternatives based on their performance on multiple criteria.\r\r\n\r\r\n## Installation\r\r\nTo install the package, use the following command:\r\r\npip install topsis-Kashish-102117150\r\r\n\r\r\n## Data\r\r\nFund Name,P1,P2,P3,P4,P5\r\r\nM1,0.79,0.62,4.8,66.6,18.2\r\r\nM2,0.69,0.48,5,46.9,13.27\r\r\nM3,0.77,0.59,3.3,43.9,12.14\r\r\nM4,0.82,0.67,3.2,67,17.92\r\r\nM5,0.65,0.42,5.9,34.9,10.47\r\r\nM6,0.8,0.64,4.8,66.8,18.26\r\r\nM7,0.75,0.56,3.9,31.7,9.23\r\r\nM8,0.83,0.69,4.1,55.9,15.38\r\r\n\r\r\n## Usage\r\r\nIn the terminal,\r\r\npython 102117150.py 102117150-data.csv \"1,1,1,1,1\" \"+,-,+,-,+\" 102117150-result.csv\r\r\nwhere,\r\r\ninput_data.csv: The input CSV file containing the decision matrix. You can use the file 102117150-data.csv .\r\r\n\"1,1,1,1,1\": Comma-separated weights for each criterion.\r\r\n\"+,-,+,-,+\": Comma-separated impacts for each criterion (either '+' or '-').\r\r\noutput_result.csv: The desired name for the output CSV file containing Topsis scores and ranks. You can see the results in file- 102117150-result-1.csv for the respective weights and impacts.\r\r\n\r\r\n## Result\r\r\nFund Name,P1,P2,P3,P4,P5,Topsis Score,Rank\r\r\nM1,0.79,0.62,4.8,66.6,18.2,0.7879309024122741,6\r\r\nM2,0.69,0.48,5.0,46.9,13.27,0.4602057102586321,1\r\r\nM3,0.77,0.59,3.3,43.9,12.14,0.3424774958156483,8\r\r\nM4,0.82,0.67,3.2,67.0,17.92,0.6236353942759449,4\r\r\nM5,0.65,0.42,5.9,34.9,10.47,0.3924844873537729,2\r\r\nM6,0.8,0.64,4.8,66.8,18.26,0.7998958662123036,5\r\r\nM7,0.75,0.56,3.9,31.7,9.23,0.23219941041702397,3\r\r\nM8,0.83,0.69,4.1,55.9,15.38,0.6259888691115867,7\r\r\n\r\r\n\r\r\n```bash\r\r\npip install topsis-Kashish-102117150\r\r\n\r\r\n\r\r\n\r\r\n",
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