Topsis-Aaditya-102117021 0.0.4

Implementing TOPSIS

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution)

Table of Contents

1. Description
2. Installation
3. Usage
4. Example

Description

Topsis-Aaditya-102117021

for: Project-1(UCS654) submitted-by: Aaditya Vardhan Roll no: 102117021 Group: 3CS-1

Topsis-Aaditya-102117021 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)

Installation

Use the package manager pip to install Topsis-Aaditya-102117021

pip install Topsis-Aaditya-102117021

Usage

Enter csv filename followed by .csv extension, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma-separated signs (+,-)

python sample.py sample.csv "1,1,1,1,2" "+,+,-,+,+" sample-result.csv

Example

sample.csv

A csv file showing data for different mobile handsets having varying features

Model	Storage space (in GB)	Camera (in MP)	Price (in $)	Looks (out of 5)
M1	16	12	250	5
M2	16	8	200	3
M3	32	16	300	4
M4	32	8	275	4
M5	16	16	225	2

weights vector = [1, 1, 1, 1] impacts vector = [+,+,-,+]

input:

python sample.py sample.csv "1,1,1,1" "+,+,-,+" sample-result.csv

output:

Topsis-score	Rank
0.534277	3
0.308368	5
0.691632	1
0.534737	2
0.401046	4