Topsis-Parneet1-101917044 1.0.4

A package that calculates Topsis Score and Rank them accordingly

Topsis-python TOPSIS Submitted By: Parneet Kaur Rakhra Title: Multiple Creteria Decision Making (MCDM) Using TOPSIS TOPSIS: Technique for Order of Preference By Similarity to Ideal Solution

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

Algorithm used in the Program: Step 1: Check whether the arguments entered by users are sufficient as per the requirements of our package. Command should be like: topsis data_file.csv,"weights","impacts",result.csv

Step2: Check whether weights and impact have same number of elements as that of number of columns in the csv file.

Step3: Convert the column having categorical values to numerical values in the dataset.

Step4: Vector normalisation is performed on the dataset and calculate the weighted normalised decision matrix..

Step5: Calculate ideal best and ideal worst value in the dataset

Step6: Calculate Euclidean distance from ideal best and ideal worst value.

Step7: Finally calculate the Topsis Score and Rank

The output file contains columns of input file along with two additional columns having Topsis_score and Rank