Topsis-Paridhi-102303715 1.0.3

TOPSIS implementation as a Python package

TOPSIS Python Package

Topsis-Paridhi-102303715 is a Python package for solving Multiple Criteria Decision Making (MCDM) problems using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)**.

This package allows users to rank alternatives based on multiple criteria by providing:

• a CSV input file
• a weight vector
• an impact vector

The package computes the TOPSIS score and rank for each alternative.

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Installation

Use the package manager pip to install the package:

pip install Topsis-Paridhi-102303715

Input Parameters

1. Weights Vector A comma-separated list of numeric values representing the importance of each criterion. Example: 0.25,0.25,0.25,0.25

2. Impacts Vector A comma-separated list of impacts where:

• "+" indicates a beneficial criterion
• "-" indicates a non-beneficial criterion

Example: +,+,-,+

Usage:

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

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

Output

The output file is a CSV file containing:

• original input columns
• Topsis Score
• Rank

Sample Output

TOPSIS RESULTS

Item	Similarity Score	Rank
A	1.000000	1
C	0.976532	2
B	0.845210	3

Higher TOPSIS score indicates a better alternative.

Input File Format:

Input file must be a CSV file:

• First column should contain alternative names
• Remaining columns must contain numeric values only
• File must contain at least 3 columns

Example sample.csv

Item	Feature1	Feature2	Feature3
A	10	7	9
B	8	6	5
C	9	9	8

Validation Rules:

The program performs the following validations:

• Input file existence check
• Minimum column count check
• Numeric value validation
• Equal number of weights, impacts, and criteria
• Impacts must be either + or -
• Weights and impacts must be comma-separated
• Appropriate error messages are displayed if invalid input is detected.

License

This project is licensed under the MIT License.