TOPSIS method for multiple-criteria decision making (MCDM).
Project description
TOPSIS-Kushagra-101803625
--Calculate TOPSIS Score and rank them.
Installation
>> pip install TOPSIS-Kushagra-101803625==1.0.3
How to use it?
>> TOPSIS data.csv "1,1,1,2" "+,+,-,+" result.csv
Input File(data.csv)
- Input file contain three or more columns
- First column is the object/variable name (e.g. M1, M2, M3)
- From 2nd to last columns contain numeric values only
Output File(result.csv)
Result file contains all the columns of input file and two additional columns having TOPSIS SCORE and RANK
Check the following-
- Number of weights, number of impacts and number of columns (from 2nd to last columns) must be same.
- Impacts must be either +ve or -ve.
- Impacts and weights must be separated by ,(comma).
License
2020 Kushagra Goel This repository is licensed under the MIT license. See LICENSE for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file TOPSIS-Kushagra-101803625-1.0.3.tar.gz.
File metadata
- Download URL: TOPSIS-Kushagra-101803625-1.0.3.tar.gz
- Upload date:
- Size: 4.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b0197cde6163df155515115076e1ed576c741fd2871a11d2007a099c5070d47e
|
|
| MD5 |
2333bb5759b19f93707933549990db15
|
|
| BLAKE2b-256 |
2d104889d6a9ddde3f8d4249dc303f24b3c5691edd63060d5f39821a17183407
|
