Topsis-Drishti-102016102 0.3

topsis

Project description TOPSIS Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) came in the 1980s as a multi-criteria-based decision-making method. TOPSIS chooses the alternative of shortest the Euclidean distance from the ideal solution and greatest distance from the negative ideal solution.

TOPSIS is a way to allocate the ranks on basis of the weights and impact of the given factors:.

Weights mean how much a given factor should be taken into consideration Impact means that a given factor has a positive or negative impact. This tool allows you to calculate the topsis ranking and save the results in the form of a csv (Comma Seperated Value) file.

Installing Package pip install Topsis-Drishti-102016102 Using the TOPSIS tool Create a script by importing the package and just calling the TOPSIS function. import importlib topsis=importlib.import_module(“Topsis_Drishti_1016102”) topsis.TOPSIS() Run the Script through command line as shown below: C:/Users/admin> python myscript.py <Data_File_csv> <Weights(Comma_seperated)> <Impacts(Comma_seperated)> <Result_file_csv>