Topsis-Kunal-102216002 4.0.1

A Python package to perform TOPSIS analysis

Topsis-Kunal-102216002

A Python package for TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) analysis.
This tool evaluates and ranks alternatives based on multiple criteria, considering their relative closeness to an ideal solution.

Installation

Use the package manager pip to install Topsis-Kunal-102216002.

  pip install Topsis-Kunal-102216002

Usage

Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, then enter the impacts vector with comma separated signs (+,-) followed by the name of output.csv file where you want to store the the output file.

topsis sample.csv "1,1,1,1" "+,-,+,+" output.csv

To view usage help, use

topsis /h

Example

sample.csv

A csv file showing data for different mobile handsets having varying features.

Attribute	Price	Storage	Camera	Looks
M1	250	16	12	5
M2	200	16	8	3
M3	300	32	16	4
M4	275	32	8	4
M5	225	16	16	2

weights vector = [ 0.25,0.25,0.25,0.25 ]

impacts vector = [ -,+,+,+]

Input

topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+" output.csv

Output

Attribute	Price	Storage	Camera	Looks	Topsis Score	Rank
M1	250	16	12	5	0.534276857	3
M2	200	16	8	3	0.308367769	5
M3	300	32	16	4	0.691632231	1
M4	275	32	8	4	0.534736584	2
M5	225	16	16	2	0.401046122	4

Other notes

• The first column and first row are removed by the library before processing to eliminate indices and headers. Ensure that the CSV follows the format shown in sample.csv.
• Ensure the CSV does not contain categorical values.

License

MIT