TOPSIS-Rohan-101803151-v08 1.0.8

TOPSIS-Rohan-101803151

What is TOPSIS?

TOPSIS is an acronym that stands for 'Technique of Order Preference Similarity to the Ideal Solution' and is a pretty straightforward MCDA method. As the name implies, the method is based on finding an ideal and an anti-ideal solution and comparing the distance of each one of the alternatives to those.

Installing Guide

The package TOPSIS-Rohan-101803151 can be run though the command line as follows:

>> pip install TOPSIS-Rohan-101803151==1.0.3

>> python
>>>from topsis_analysis.topsispackage import topsis
>>>topsis("data.csv","1,1,1,2","+,+,-,+","output.csv")

Note:

• Usages:

  topsis( <InputDataFile> <Weights> <Impacts> <ResultFileName>)

• Input File:

  • Input file contain three or more columns.
  • First column is the object/variable name (e.g. M1, M2, M3, M4……) .
  • From 2nd to last columns contain numeric values only.

• Output File:

  • Result file contains all the columns of input file and two additional columns having TOPSIS SCORE and RANK

• The output is created in the form of csv file and stored and also it is displayed.

• The impacts given in the command line should be either ‘+’ or ‘–’ depending if you want to maximise the column parameter or minimise it.

Sample Input

Here is a sample set of data which can be used for the following package:

Output of this sample input

The output that will be generated from the following input data will be:

Here the ranks are given as rank 1 is the best solution according to the weights and impacts given and rank 5 is the worst solution.

Hence this python package creates a Result file contains all the columns of input file and two additional columns having TOPSIS SCORE and RANK