Topsis-Harjot-102017126


NameTopsis-Harjot-102017126 JSON
Version 1.0.2 PyPI version JSON
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home_pagehttps://github.com/HarryGrewal9/Topsis-Harjot-102017126
SummaryA Python package implementing TOPSIS for MCDM
upload_time2023-03-17 06:34:00
maintainer
docs_urlNone
authorHarjot tSingh
requires_python
licenseMIT
keywords python topsis mcdm mcda statistics prescriptive analytics cli
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requirements No requirements were recorded.
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            Project 1


Submitted By: Harjot Singh  
Roll Number :102017126


# What is TOPSIS

Technique for Order Preference by Similarity to Ideal

TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution, and greatest distance from the negative-ideal
solution.

### In Command Prompt
```
>> topsis data.csv "1,1,1,1" "-,+,-,+"
```

## Example

The decision matrix (`a`) should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R<sup>2</sup>, Root Mean Squared Error, Correlation, and many more.

Attribute 	price	storage	camera	looks 
m1	         250	    16	     12	     5
m2	         200	    16  	  8	     4
m3	         300	    32	     16	     3
m4	         275	    32	      8	     3
m5	         225	    16	     16	     1


<br>
Using TOPSIS the rankings are displayed in the form of a table , with the 1st rank offering the best decision, and last rank offering the worst decision making.

            

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