Topsis-Tanya-102303077 1.0.1

A Python package for TOPSIS decision making

# Topsis-Tanya-102303077

## Project Description

**For:** Project-1 (UCS654 – Predictive Analytics)  
**Submitted by:** Tanya Mediratta
**Roll Number:** 102303077  

**Topsis-Tanya-102303077** is a Python package developed to solve **Multiple Criteria Decision Making (MCDM)** problems using the **Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)** method.

The package ranks multiple alternatives based on their relative closeness to the ideal best and ideal worst solutions. It is implemented as a **command-line tool**, making it easy to use for practical and academic decision-making problems.

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## Installation

Install the package using `pip`:

```bash
pip install Topsis-Tanya-102303077

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Usage

Run the package from the command line by providing:

• Input CSV file
• Weights vector
• Impacts vector
• Output file name

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

If weights or impacts contain spaces, they must be enclosed within double quotes (" ").

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Input Format

• Input file must be in CSV format
• First column contains the names of alternatives
• Remaining columns contain numeric criteria values
• Minimum of three columns is required
• Categorical values are not allowed in criteria columns

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Example

Sample Input File (data.csv)

Fund Name,P1,P2,P3,P4
M1,0.67,0.45,6.5,42.6
M2,0.60,0.36,3.6,53.3
M3,0.82,0.67,3.8,63.1
M4,0.60,0.36,3.5,69.2
M5,0.76,0.58,4.8,43.0

Command

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

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Output

The output CSV file contains:

• Original input data
• TOPSIS Score for each alternative
• Rank of each alternative based on the TOPSIS score (Higher score indicates a better rank)

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Features

• Command-line based execution
• Supports user-defined weights and impacts
• Input validation with clear error messages
• Ranks alternatives using TOPSIS methodology
• Outputs results in CSV format

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Notes

• Number of weights must match the number of criteria
• Number of impacts must match the number of criteria
• Impacts must be either + or -
• Criteria columns must contain numeric values only

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License

MIT License