TOPSIS multi-criteria decision making - Python

Assignment 1 : UCS654

Submitted By: Samarjot Singh 102003242

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What is TOPSIS?

TOPSIS, known as Technique for Order of Preference by Similarity to Ideal Solution, is a multi-criteria decision analysis method. It compares a set of alternatives based on a pre-specified criterion. The method is used in the business across various industries, every time we need to make an analytical decision based on collected data. More details at YouTube.

How to run this package:

TOPSIS-Samar 102003242 can be used by running following command in CMD:

>> topsis 102003242-data.csv "1,1,1,2,1" "-,+,+,-,+" 102003242-result.csv

Sample dataset

The decision matrix should be constructed with each row representing a Fund Name, and each column representing a criterion P1, P2, P3, P4, P5.

Fund Name	P1	P2	P3	P4	P5
M1	0.72	0.52	4.4	62.1	16.94
M3	0.72	0.52	5.7	48.6	13.91
M2	0.76	0.58	4.2	39.4	11.21
M4	0.68	0.46	6.7	50	14.46
M5	0.67	0.45	5.2	62.2	17.13
M6	0.86	0.74	5.2	63.8	17.65
M7	0.93	0.86	4.5	65.6	17.97
M8	0.78	0.61	5.4	69.7	19.12

Weights(w) and Impacts(i) will be applied later in the code.

Output

 Row No.   Performance Score    Rank
--------  -------------------  ------
  3            0.332629          8
  2            0.555383          1
  1            0.548848          2
  4            0.530816          3
  5            0.354290          6
  6            0.421567          5
  7            0.435080          4
  8            0.353907          7

The rankings are displayed in the form of a table with the 1st rank offering us the best decision and last rank offering the worst decision making, according to TOPSIS method.