Topsis-Gurshaan-Bajwa-102303264 0.0.4

A Python package for TOPSIS multi-criteria decision making

Topsis-Gurshaan-Bajwa-102303264

By Gurshaan Bajwa (Roll No: 102303264)

This Python package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method for solving Multi-Criteria Decision Making (MCDM) problems.

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Installation

pip install Topsis-Gurshaan-Bajwa-102303264

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Input File Format

First column: Alternatives
Remaining columns: Numeric criteria

Example CSV:

Model	Storage	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

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Weights and Impacts

Weights vector:

0.25,0.25,0.25,0.25

Impacts vector:

+,+,-,+

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Command Line Usage

topsis <inputfile> <weights> <impacts> <outputfile>

Example:

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

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Output File Example

Result CSV will contain Topsis Score and Rank:

Model	Score	Rank
M1	0.534	3
M2	0.308	5
M3	0.692	1
M4	0.535	2
M5	0.401	4

Higher score means better alternative.

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Error Handling

Program validates:

• File existence
• Numeric values
• Correct weights count
• Correct impacts
• Invalid symbols

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Conclusion

TOPSIS helps rank alternatives based on multiple criteria and is useful in decision-making problems.