The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision analysis method.
Project description
TOPSIS
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) came in the 1980s as a multi-criteria-based decision-making method. TOPSIS chooses the alternative of shortest the Euclidean distance from the ideal solution and greatest distance from the negative ideal solution.
TOPSIS is a way to allocate the ranks on basis of the weights and impact of the given factors:.
- Weights mean how much a given factor should be taken into consideration
- Impact means that a given factor has a positive or negative impact.
This tool allows you to calculate the topsis ranking and save the results in the form of a csv (Comma Seperated Value) file.
Installing Package
pip install Topsis-Jaskirat-101917040==0.5
Using the TOPSIS tool
- Create a script by importing the package and just calling the TOPSIS function.
import importlib
topsis=importlib.import_module("Topsis-Jaskirat-101917040")
topsis.TOPSIS()
- Run the Script through command line as shown below:
C:/Users/admin> python myscript.py <Data_File_csv> <Weights(Comma_seperated)> <Impacts(Comma_seperated)> <Result_file_csv>
Project 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-Jaskirat-101917040-0.5.tar.gz
.
File metadata
- Download URL: Topsis-Jaskirat-101917040-0.5.tar.gz
- Upload date:
- Size: 4.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.7 tqdm/4.62.3 importlib-metadata/4.8.1 keyring/23.1.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fd2e4318cd45444a52a6c249449b5d53bba6d6990eaf43513858815fc8659954 |
|
MD5 | 8d1644c8e7125907fbd678239f35d5cb |
|
BLAKE2b-256 | c90f5fbdcf010f3740b281f7e3d9dc7d5580d5fe57d3c02e27365babbd54a0af |