Topsis-Tanya-102303077 1.0.2

A Python package for TOPSIS decision making

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# Topsis-Tanya-102303077

## Project Description

**For:** Project-1 (UCS633 / UCS654 – Predictive Analytics)  
**Submitted by:** Tanya  
**Roll Number:** 102303077  

**Topsis-Tanya-102303077** is a Python package designed 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 distance from the ideal best and ideal worst solutions. It is implemented as a **command-line tool**, making it easy to use for real-world decision-making applications.

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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 vectors 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 alternatives (e.g., items, models, options)
• Remaining columns contain numeric criteria values
• Minimum of three columns required
• No categorical values 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 based on TOPSIS score
  (Higher score indicates better rank)

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Features

• Command-line based execution
• Supports user-defined weights and impacts
• Input validation and error handling
• Ranks alternatives using TOPSIS method
• Generates results in CSV format

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Notes

• Number of weights must match number of criteria
• Number of impacts must match number of criteria
• Impacts must be either + or -
• Input CSV must contain only numeric values (except first column)

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License

MIT License

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