Topsis-Ansh-102303380 1.0.3

A Python implementation of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution)

TOPSIS Python Package

Overview

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a multi-criteria decision analysis (MCDA) method for ranking and selecting alternatives based on multiple criteria.

Features

• Ranking of options based on multiple criteria
• Flexible weight and impact specification
• Ideal solution distance calculation
• CSV input and output support

Installation

pip install Topsis-Ansh-102303380

Usage

Command-Line Syntax

python -m Topsis inputFileName "weights(comma separated)" "impacts(comma separated)" outputFileName

Example

python3 -m Topsis Topsis/data.csv "1,1,2,2,1" "+,+,-,-,-" my-result.csv

Input Output Format

Input File

Fund Name	P1	P2	P3	P4	P5
M1	0.67	0.45	6.5	42.6	12.56
M2	0.60	0.36	3.6	53.3	14.47
M3	0.82	0.67	3.8	63.1	17.10
M4	0.60	0.36	3.5	69.2	18.42
M5	0.76	0.58	4.8	43.0	12.29
M6	0.69	0.48	6.6	48.7	14.12
M7	0.79	0.62	4.8	59.2	16.35
M8	0.84	0.71	6.5	34.5	10.64

---

Output File

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.67	0.45	6.5	42.6	12.56	20.58	2
M2	0.60	0.36	3.6	53.3	14.47	40.83	4
M3	0.82	0.67	3.8	63.1	17.10	30.07	3
M4	0.60	0.36	3.5	69.2	18.42	50.22	5
M5	0.76	0.58	4.8	43.0	12.29	10.41	1
M6	0.69	0.48	6.6	48.7	14.12	80.51	8
M7	0.79	0.62	4.8	59.2	16.35	70.74	7
M8	0.84	0.71	6.5	34.5	10.64	60.33	6

Note: Your input data and output result may be different.

License

© 2026 Ansh Mahajan MIT License