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

Project description

Topsis-aashish-102017138

Topsis-Aashish-102017138 is a Python library for handling problems related to Multiple Criteria Decision Making(MCDM) where there are more than one features to consider while arriving at a situation by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS),we can make conclusions to help us arrive at the decision with minimal effort

Installation

Use the package manager pip to install Topsis-Aashish-102017138

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

Model Corr Rseq RMSE Accuracy
M1 0.79 0.62 1.25 60.89
M2 0.66 0.44 2.89 63.07
M3 0.56 0.31 1.57 62.87
M4 0.82 0.67 2.68 70.19
M5 0.75 0.56 1.3 80.39

Sample Output Data

Model Corr Rseq RMSE Accuracy Topsis Score Rank
M1 0.79 0.62 1.25 60.89 0.7731301458119156 2
M2 0.66 0.44 2.89 63.07 0.22667595732024362 5
M3 0.56 0.31 1.57 62.87 0.4389494866695491 4
M4 0.82 0.67 2.68 70.19 0.5237626971836845 3
M5 0.75 0.56 1.3 80.39 0.8128626132980138 1

License

MIT

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