Topsis-Samarjeet-102103562 1.0.0

A Python package designed for performing Topsis analysis in the context of multiple-criteria decision making (MCDM). This package generates Topsis scores and ranks items accordingly.

Topsis-python-package

TOPSIS

Submitted By: Samarjeet Singh - 102103563.

Type: Package.

Title: TOPSIS method for multiple-criteria decision making (MCDM).

Version: 1.0.0.

Date: 22-01-2024.

Author: Samarjeet Singh.

Maintainer: Samarjeet Singh [e-mail].

Description: A Python package designed for performing Topsis analysis in the context of multiple-criteria decision making (MCDM). This package generates Topsis scores and ranks items accordingly..

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What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) originated in the 1980s as a multi-criteria decision making method. TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

How to install this package:

>> pip install Topsis-Samarjeet-102103562

In Command Prompt

>> topsis -h
>> topsis data.csv "1,1,1,1" "+,+,-,+" result.csv

Input file (data.csv)

A	B	C	D	E	F
Fund Name	P1	P2	P3	P4	P5
M1	0.84	0.71	6.7	42.1	12.59
M2	0.91	0.83	7	31.7	10.11
M3	0.79	0.62	4.8	46.7	13.23
M4	0.78	0.61	6.4	42.4	12.55
M5	0.94	0.88	3.6	62.2	16.91
M6	0.88	0.77	6.5	51.5	14.91
M7	0.66	0.44	5.3	48.9	13.83
M8	0.93	0.86	3.4	37	10.55

weights = "2,2,3,3,4" impacts = "-,+,-,+,-"

Output file (result.csv)

Fund Name	P1	P2	P3	P4	P5	score	rank
M1	0.84	0.71	6.7	42.1	12.59	0.46648384839516	6
M2	0.91	0.83	7.0	31.7	10.11	0.5565665031302564	2
M3	0.79	0.62	4.8	46.7	13.23	0.5552632203730501	3
M4	0.78	0.61	6.4	42.4	12.55	0.5091638066448925	5
M5	0.94	0.88	3.6	62.2	16.91	0.36399291864067096	7
M6	0.88	0.77	6.5	51.5	14.91	0.26936075735436416	8
M7	0.66	0.44	5.3	48.9	13.83	0.5251983566077868	4
M8	0.93	0.86	3.4	37.0	10.55	0.6986963797749929	1

The output file contains columns of input file along with two additional columns having **Topsis_score** and **Rank**