Metadata-Version: 2.1
Name: Topsis-SnehithaM-101917176
Version: 0.0.2
Summary: Compute Topsis Scores/Ranks of a given csv file
Home-page: UNKNOWN
Author: Snehitha Mulapalli
Author-email: snehithamulapalli06@gmail.com
License: MIT
Keywords: TOPSIS
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown

What is TOPSIS? 
 It is a method of compensatory aggregation that compares a set of alternatives by identifying weights for each criterion, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion.Topsis Value CalculatorThis Python package implementing Topsis method  for multi-criteria decision analysis. 
 Topsis stands for Technique for Order of Preference by Similarity to Ideal Solution 
  Just provide your input attributes and it will give you the results 
 Installation: $ pip install TOPSIS-101917176==0.0.1 
 In the commandline, you can write as - $ python <package_name> <path to input_data_file_name> <weights as strings> <impacts as strings> <result_file_name> 
 E.g for input data file as data.csv, command will be like $ python topsis.py data.csv "1,1,1,1" "+,+,-,+" output.csv 
 This will print all the output attribute values along with the Rank column, in a tabular format

