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A Python package for TOPSIS method for MCDM problems

Project description

Topsis-Gurdarshan-102303217

Topsis-Gurdarshan-102303217 is a Python library for dealing with Multiple Criteria Decision Making (MCDM) problems by using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).

Installation

Use the package manager pip to install Topsis-Gurdarshan-102303217.

pip install Topsis-Gurdarshan-102303217

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 (+,-).

topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>

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

Input:

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

Output:

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

The output file will contain the original data with two additional columns: Topsis Score and Rank.

License

MIT

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