This is a package for implementing Topsis
Project description
Topsis Package by Aditya Kalhan
Roll Number : 102053005 Subgroup : 3COE18 It takes a csv file, weights (seperated by comma) , impacts (+ or -) and outputs a result file.
What is Topsis
TOPSIS is based on the fundamental premise that the best solution has the shortest distance from the positive-ideal solution, and the longest distance from the negative-ideal one.
Selecting an appropriate Multiple Attribute Decision Making (MADM) method for a given MADM problem is always a challenging task.
Within the MADM domain, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is highly regarded, applied and adopted MADM method due to its simplicity and underlying concept that the best solution is the one closest to the positive ideal solution and furthest from the negative ideal solution.
Installation
Use pip installer
pip install 102053005-Aditya-Topsis
How to use it
Open terminal and type
102053005 sample.csv "1,1,1,1" "+,+,-,+" result.csv
Example
Model | Storage Space | Camera | Price | Looks |
---|---|---|---|---|
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 = [1,1,1,1]
impact = ["+","+","-","+"]
Output
Model | Storage Space | Camera | Price | Looks | Topsis Score | Rank |
---|---|---|---|---|---|---|
M1 | 16 | 12 | 250 | 5 | 0.534269 | 3 |
M2 | 16 | 8 | 200 | 3 | 0.308314 | 5 |
M3 | 32 | 16 | 300 | 4 | 0.691686 | 1 |
M4 | 32 | 8 | 275 | 4 | 0.534807 | 2 |
M5 | 16 | 16 | 225 | 2 | 0.401222 | 4 |
Output will be saved in a CSV file whose name will be provided in the command line.
It will have all the columns along with the Topsis Score and Ranks.
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
Built Distribution
File details
Details for the file Topsis_Aditya_102053005-0.13.tar.gz
.
File metadata
- Download URL: Topsis_Aditya_102053005-0.13.tar.gz
- Upload date:
- Size: 4.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a29014112b4009751a58a61706f1e5bc0f0277cde3834ee5c2432510f19a01ce |
|
MD5 | 59a88cb24a8785ab4737430fada096a6 |
|
BLAKE2b-256 | 442fd2ab447caa0a105cff9bd6a95d852f7554d74df8737aa5628799ea74e907 |
File details
Details for the file Topsis_Aditya_102053005-0.13-py3-none-any.whl
.
File metadata
- Download URL: Topsis_Aditya_102053005-0.13-py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d586e8b1dc604ede53fca162271f9d532cbaab9a0d999ebb7ca617631c148879 |
|
MD5 | 57dce0ffc1c4c8038163085263c7dc5d |
|
BLAKE2b-256 | 63ac302fe051d4664f7bf52579f520b554abb894f4282dbfef1ecdcb7b838c7b |