Topsis-Rishi-102017096 1.0.0.1

A Python package implementing TOPSIS technique.

TOPSIS-Python

Submitted By: Rishi Malik 102017096

---

What is TOPSIS?

Topsis is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS).

Installation

>> pip install Topsis-102017096-Rishi

How to use this package:

Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-) and lastly enter the name of the output file also with .csv extension where you want to store the result.

In Command Prompt

Example

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

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.Output is also stored in the resultant csv file.

Example

Sample Input

Fund Name	P1	P2	P3	P4	P5
M1	0.65	0.42	5.3	43.8	12.54
M2	0.94	0.88	4	61.5	16.83
M3	0.72	0.52	3.2	69.7	18.54
M4	0.89	0.79	5.4	49	14.02
M5	0.75	0.56	6.9	49.4	14.4
M6	0.6	0.36	4.2	68.3	18.37
M7	0.89	0.79	6.7	44.6	13.25
M8	0.79	0.62	3.8	51.7	14.23

weights vector = [ 1 , 1 , 1 , 1 , 1 ] impacts vector = [ + , + , + , + , + ]

Sample output data

Fund Name	P1	P2	P3	P4	P5	Topsis_Score	Rank
M1	0.82	0.67	6.4	68.5	19.1	0.7484552561357947	2
M2	0.89	0.79	5.6	66.0	18.32	0.7866087836337962	1
M3	0.86	0.74	3.8	39.5	11.23	0.3427604044049379	7
M4	0.81	0.66	6.7	55.8	15.99	0.6504458146181358	3
M5	0.94	0.88	3.7	38.3	10.96	0.42910938170387014	5
M6	0.72	0.52	3.7	38.0	10.74	0.10560109314491806	8
M7	0.67	0.45	3.4	67.9	18.11	0.42237228179660335	6
M8	0.79	0.62	5.8	64.2	17.85	0.6437300671400316	4

Please Note:

• Categorical values are not handled
• Enter the path for your input csv file -Enter the weights vector with each weight separated by commas -Enter the impact vector with each impact separated by commas -Enter the name of csv file in which you want to store output dataframe.

License

MIT