Topsis-AbhishekVohra-102003439 1.3

Doing Evaluation of alternatives based on multiple criteria using TOPSIS method.

Topsis:-MULTIPLE-CRITERIA DECISION MAKING

TOPSIS

Submitted By: ABHISHEK VOHRA 102003439.

Date: 22-JAN-2023.

Description: Evaluation of alternatives based on multiple criteria using TOPSIS method..

---

What is TOPSIS?

Technique for Order Preference by Similarity to Ideal Solution TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal solution.

How to install this package:

>>pip install Topsis_AbhishekVohra_102003439

In Command Prompt

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

Input file (data.csv)

The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Attribute, Price or cost, Storage Space ,Camera,Looks.

Fund Name	P1	P2	P3	P4	P5
M1	0.67	0.45	6.4	64.2	17.93
M2	0.78	0.61	5.1	42.5	12.25
M3	0.66	0.44	6.7	58.5	16.58
M4	0.68	0.46	3.6	40.7	11.36
M5	0.83	0.69	6.8	33	10.33
M6	0.95	0.9	5.7	36.9	11.11
M7	0.95	0.9	3.5	51.2	14.14
M8	0.89	0.79	4.1	60.1	16.47

Weights (weights) is not already normalised will be normalised later in the code.

Information of benefit positive(+) or negative(-) impact criteria should be provided in impacts.

Output file (result.csv)

Fund Name	P1	P2	P3	P4	P5	Topsis Score	Rank
M1	0.67	0.45	6.4	64.2	17.93	0.541	3
M2	0.78	0.61	5.1	42.5	12.25	0.401	7
M3	0.66	0.44	6.7	58.5	16.58	0.486	4
M4	0.68	0.46	3.6	40.7	11.36	0.405	6
M5	0.83	0.69	6.8	33	10.33	0.323	8
M6	0.95	0.9	5.7	36.9	11.11	0.445	5
M7	0.95	0.9	3.5	51.2	14.14	0.679	2
M8	0.89	0.79	4.1	60.1	16.47	0.723	1

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