topsis-10191117-1yash 1.0.0

A Python package implementing TOPSIS technique.

TOPSIS-Python

Submitted By: YASHWARDHAN RATHORE 101917117 ASSIGNMENT 4

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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. More details at wikipedia.

How to use this package:

TOPSIS-YASHWARDHAN_RATHORE_101917117 can be run as in the following example:

In Command Prompt to run the code:

>> topsis data.csv "1,1,1,1" "+,+,-,+"

Sample dataset

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

M1| 0.8 |0.64 |3.5 |37.5 |10.61 M2| 0.86 |0.74 |3.4 |42.2 |11.8 M3| 0.69 |0.48 |5.7 |70 |19.22 M4| 0.65 |0.42 |5.7 |65.5 |18.07 M5| 0.9 |0.81 |6.6 |39.1 |11.85 M6| 0.76 |0.58 |4 |53.5 |14.71 M7| 0.69 |0.48 |6.2 |51.3 |14.67 M8| 0.65 |0.42 |6 |50.2 |14.32

Output

Row_NO	Performance_score	Rank
1	0.436737	7
2	0.389937	8
3	0.56565	4
4	0.590487	3
5	0.522924	5
6	0.4513	6
7	0.637889	1
8	0.635536	2

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