Topsis-Mudrika-102017143 1.0.3

This is a Python library for handling problems related to Multiple Criteria Decision Making(MCDM)

Project Description

TOPSIS-Mudrika-102017143

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria-based decision-making method. It is a way to allocate the ranks by calculating topsis score on basis of the weights and impact of the given factors.

Installation

Use the package manager pip to install Topsis-Mudrika-102017143

Syntax

topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>
Example:
topsis inputfile.csv “1,1,1,2” “+,+,-,+” result.csv
or 
topsis inputfile.csv 1,1,1,2 +,+,-,+ result.csv

Example

Sample input data

Fund Name	P1	P2	P3	P4	P5
M1	0.75	0.56	5.8	40.9	12
M2	0.85	0.72	5	70	19.14
M3	0.72	0.52	4.3	37.9	10.86
M4	0.81	0.66	5.3	66.2	18.24
M5	0.71	0.5	3	69.8	18.5
M6	0.86	0.74	4.8	54.8	15.3
M7	0.9	0.81	5.2	37.4	11.08
M8	0.68	0.46	5.1	45.5	12.94

Sample output data

Fund Name	P1	P2	P3	P4	P5	Performance	Rank
M1	0.75	0.56	5.8	40.9	12	0.361305	7
M2	0.85	0.72	5	70	19.14	0.524739	3
M3	0.72	0.52	4.3	37.9	10.86	0.435908	6
M4	0.81	0.66	5.3	66.2	18.24	0.470017	5
M5	0.71	0.5	3	69.8	18.5	0.527621	2
M6	0.86	0.74	4.8	54.8	15.3	0.546181	1
M7	0.9	0.81	5.2	37.4	11.08	0.524433	4
M8	0.68	0.46	5.1	45.5	12.94	0.340656	8

Note

1.Enter the path for your input csv file
2.Enter the weights vector with each weight separated by commas
3.Enter the impact vector with each impact separated by commas
4.Enter the name of csv file in which you want to store output dataframe. This file will be
created in the users/pc if you open cmd without being in any directory.
Else it will be created in the current directorty

License

MIT

Free Software, Hell Yeah!