Topsis-Sachin-102103575 0.1

It does a topsis analysis of a given csv file

TOPSIS-Sachin-102103575

Overview

for: Project-1 (UCS654) submitted by: Sachin Sushil Singh Roll no: 102103575 Group: 3COE21

TOPSIS-102103575 is a Python-based implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. It is designed to analyze a given dataset and calculate TOPSIS scores and rankings based on user-provided weights and impacts.

Usage

To use the TOPSIS-102103575 program, follow these steps:

1. Installation You can install this using the following command:

   pip install Topsis-Sachin-102103575
   

2. Run the Program: Execute the program from the command line with the following command:

   python analysis <InputDataFile> <Weights> <Impacts> <ResultFileName>
   

   Replace <InputDataFile>, <Weights>, <Impacts>, and <ResultFileName> with the appropriate values.

   • <InputDataFile>: The CSV file containing the input data.
   • <Weights>: Comma-separated weights for each column in the input data.
   • <Impacts>: Comma-separated impact signs ('+' or '-') for each column in the input data.
   • <ResultFileName>: The name of the CSV file to save the TOPSIS results.

3. Review Results: The program will analyze the data using the TOPSIS method and save the results in the specified CSV file. The results include TOPSIS scores and rankings.

Input File Requirements

• The input CSV file should have more than two columns.
• All columns, except the first one, must contain numeric values.
• Weights, impacts, and the number of columns must be the same.

Example

python analysis input_data.csv 1,1,1,+,-,+ result_output.csv

Author

• Your Name

License

This project is licensed under the MIT License.