Topsis-Bhavuk-102303140 0.0.4

TOPSIS package for MCDM problems

Topsis-Bhavuk-102303140

A Python package for solving Multiple Criteria Decision Making (MCDM) problems using
TOPSIS (Technique for Order Preference by Similarity to Ideal Solution).

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Project Information

For: Project-1 (UCS633)
Submitted by: Bhavuk Mahajan Roll No: 102303140

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Installation

Use the package manager pip to install the package.

pip install Topsis-Bhavuk-102303140

Usage

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

topsis sample.csv "1,1,1,1" "+,-,+,+"

or vectors can be entered without quotes:

topsis sample.csv 1,1,1,1 +,-,+,+

To view usage help:

topsis /h

Example

sample.csv

A CSV file showing data for different mobile handsets having varying features.

Model	Storage (GB)	Camera (MP)	Price ($)	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

0.25,0.25,0.25,0.25

Impacts vector

+,+,-,+

Input

topsis sample.csv "0.25,0.25,0.25,0.25" "+,+,-,+"

Output

TOPSIS RESULTS

P-Score	Rank
0.691632	1
0.534737	2
0.534277	3
0.401046	4
0.308368	5

Other Notes

The first column and first row are removed before processing.

CSV file must contain only numerical values.

No categorical values are allowed.

License

MIT License