Topsis-Mukul-102303463 0.0.0

TOPSIS implementation with CLI support

TOPSIS

Author: Mukul Ghai Roll Number: 102303463

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Overview

TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is a multi-criteria decision-making (MCDM) method developed in the 1980s.
It ranks alternatives based on their relative closeness to the ideal best and ideal worst solutions.

This package provides a command-line implementation of the TOPSIS algorithm and supports CSV input files.

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Installation

Install the package using pip:

pip install Topsis-Mukul-102303463

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Command Line Usage

After installation, run the following command in the current working directory:

topsis

Example

topsis data.csv "1,2,1,1" "+,-,-,+" result.csv

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Input Requirements

• Input file must contain three or more columns
• First column must contain alternative names (non-numeric)
• Second to last columns must contain numeric values only
• Number of weights, impacts, and criteria columns must be equal
• Impacts must be:
  • + for benefit criteria
  • - for cost criteria
• Weights and impacts must be comma-separated
• Weights need not be normalized (handled internally)

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Input File Format (data.csv)

Each row represents an alternative, and each column (except the first) represents a decision criterion such as Correlation, R², RMSE, Accuracy, etc.

Example:

Model	Corr	Rseq	RMSE	Accuracy
M1	0.79	0.62	1.25	60.89
M2	0.66	0.44	2.89	63.07
M3	0.56	0.31	1.57	62.87
M4	0.82	0.67	2.68	70.19
M5	0.75	0.56	1.30	80.39

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Output File Format (result.csv)

For weights "1,2,1,1" and impacts "+,-,-,+", the output file will contain two additional columns: Topsis Score and Rank.

Example Output

Model	Corr	Rseq	RMSE	Accuracy	Topsis Score	Rank
M1	0.79	0.62	1.25	60.89	0.423744391359611	4
M2	0.66	0.44	2.89	63.07	0.467426368298297	3
M3	0.56	0.31	1.57	62.87	0.760230957034903	1
M4	0.82	0.67	2.68	70.19	0.207772533881566	5
M5	0.75	0.56	1.30	80.39	0.504864457803718	2

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Description of Output

• Topsis Score: Relative closeness of the alternative to the ideal solution
• Rank: Rank based on TOPSIS score (1 = best alternative)

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License

This project is developed for academic purposes.