| Name | topsis-ikjot-102116071 JSON |
| Version |
0.0.1
JSON |
| download |
| home_page | |
| Summary | TOPSIS Application |
| upload_time | 2024-01-29 00:31:54 |
| maintainer | |
| docs_url | None |
| author | Ikjot Singh |
| requires_python | |
| license | |
| keywords |
python
topsis
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Topsis-Ikjot-102116071
for: **Project-1 (UCS654)**
submitted by: **Ikjot Singh**
Roll no: **102116071**
Group: **3CS11**
Topsis-Ikjot-102116071 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).
## Installation
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install topsis-ikjot-102116071.
```bash
pip install topsis-ikjot-102116071
```
## Usage
Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-)
```bash
topsis sample.csv "1,1,1,1" "+,-,+,+"
```
or vectors can be entered without " "
```bash
topsis sample.csv 1,1,1,1 +,-,+,+
```
But the second representation does not provide for inadvertent spaces between vector values. So, if the input string contains spaces, make sure to enclose it between double quotes (" ").
To view usage _help_, use
```
topsis /h
```
## Example
#### sample.csv
A csv file showing data for different mobile handsets having varying features.
| Model | Storage space(in gb) | Camera(in MP)| Price(in $) | Looks(out of 5) |
| :----: |:--------------------:|:------------:|:------------:|:---------------:|
| M1 | 16 | 12 | 250 | 5 |
| M2 | 16 | 8 | 200 | 3 |
| M3 | 32 | 16 | 300 | 4 |
| M4 | 32 | 8 | 275 | 4 |
| M5 | 16 | 16 | 225 | 2 |
weights vector = [ 0.25 , 0.25 , 0.25 , 0.25 ]
impacts vector = [ + , + , - , + ]
### input:
```python
topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+"
```
### output:
```
TOPSIS RESULTS
-----------------------------
P-Score Rank
1 0.534277 3
2 0.308368 5
3 0.691632 1
4 0.534737 2
5 0.401046 4
```
# topsis-ikjot-102116071
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"description": "\r\n# Topsis-Ikjot-102116071\r\n\r\n\r\n\r\nfor: **Project-1 (UCS654)**\r\n\r\nsubmitted by: **Ikjot Singh**\r\n\r\nRoll no: **102116071**\r\n\r\nGroup: **3CS11**\r\n\r\n\r\n\r\n\r\n\r\nTopsis-Ikjot-102116071 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).\r\n\r\n\r\n\r\n## Installation\r\n\r\n\r\n\r\nUse the package manager [pip](https://pip.pypa.io/en/stable/) to install topsis-ikjot-102116071.\r\n\r\n\r\n\r\n```bash\r\n\r\npip install topsis-ikjot-102116071\r\n\r\n```\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n## Usage\r\n\r\n\r\n\r\nEnter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-)\r\n\r\n```bash\r\n\r\ntopsis sample.csv \"1,1,1,1\" \"+,-,+,+\"\r\n\r\n```\r\n\r\nor vectors can be entered without \" \"\r\n\r\n```bash\r\n\r\ntopsis sample.csv 1,1,1,1 +,-,+,+\r\n\r\n```\r\n\r\n\r\n\r\nBut the second representation does not provide for inadvertent spaces between vector values. So, if the input string contains spaces, make sure to enclose it between double quotes (\" \").\r\n\r\n\r\n\r\nTo view usage _help_, use\r\n\r\n```\r\n\r\ntopsis /h\r\n\r\n```\r\n\r\n## Example\r\n\r\n\r\n\r\n#### sample.csv\r\n\r\n\r\n\r\nA csv file showing data for different mobile handsets having varying features.\r\n\r\n\r\n\r\n| Model | Storage space(in gb) | Camera(in MP)| Price(in $) | Looks(out of 5) |\r\n\r\n| :----: |:--------------------:|:------------:|:------------:|:---------------:|\r\n\r\n| M1 | 16 | 12 | 250 | 5 |\r\n\r\n| M2 | 16 | 8 | 200 | 3 |\r\n\r\n| M3 | 32 | 16 | 300 | 4 |\r\n\r\n| M4 | 32 | 8 | 275 | 4 |\r\n\r\n| M5 | 16 | 16 | 225 | 2 |\r\n\r\n\r\n\r\nweights vector = [ 0.25 , 0.25 , 0.25 , 0.25 ]\r\n\r\n\r\n\r\nimpacts vector = [ + , + , - , + ]\r\n\r\n\r\n\r\n### input:\r\n\r\n\r\n\r\n```python\r\n\r\ntopsis sample.csv \"0.25,0.25,0.25,0.25\" \"+,+,-,+\"\r\n\r\n```\r\n\r\n\r\n\r\n### output:\r\n\r\n```\r\n\r\n TOPSIS RESULTS\r\n\r\n-----------------------------\r\n\r\n\r\n\r\n P-Score Rank\r\n\r\n1 0.534277 3\r\n\r\n2 0.308368 5\r\n\r\n3 0.691632 1\r\n\r\n4 0.534737 2\r\n\r\n5 0.401046 4\r\n\r\n```\r\n\r\n# topsis-ikjot-102116071\r\n\r\n",
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