topsis-hardik-102303494 0.1.1

TOPSIS implementation for decision making

topsis-hardik-102303494

Project Description

topsis-hardik-102303494 is a Python library for solving Multiple Criteria Decision Making (MCDM) problems using the
Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).

This project has been developed as part of Project-1 (UCS654)
and demonstrates how TOPSIS can be implemented as a command-line Python package and distributed via PyPI.

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Student Details

• Name: Hardik
• Roll Number: 102303494
• Course: UCS654
• Project: Project-1 (TOPSIS)

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Installation

Install the package using pip:

pip install topsis-hardik-102303494

TOPSIS CLI Usage

Command Format

topsis <input_file.csv> <weights> <impacts> <output_file.csv>

Parameters

• input_file.csv: CSV file with dataset (first column: names, remaining: numeric criteria)
• weights: Comma-separated numeric weights (use quotes if needed)
• impacts: Comma-separated impacts (+ for benefit, - for cost)
• output_file.csv: CSV file for results

Example

Input (sample.csv)

Model	Storage (GB)	Camera (MP)	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

Command

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

Output

Model	Topsis Score	Rank
M1	0.534277	3
M2	0.308368	5
M3	0.691632	1
M4	0.534737	2
M5	0.401046	4

Rank 1 = Best Alternative