Nimish-102017084-Topsis 1.0.1

Calculates TOPSIS on the given dataset!

Submitted by:
Name: Nimish Lakhmani
Roll No: 102017084
Group: 3CS4

Installation

pip install Nimish-102017084-Topsis

How to use it?

Open terminal Write: Topsis <inputFilename.csv> <"Weights"> <"Impacts"> <outputFilename.csv>

• Enter the three parameters in three lines:
  • .csv filename, followed by .csv extension
  • values of weights, each separated by comma(,)
  • values of impacts, either '+' or '-', each separated by comma(,)

bash sample.csv 0.25,0.25,0.25,0.25 -,+,+,+

Example of input & output

Input:

• sample.csv file, depicts the dataset of mobile phones having varying features.

Model	Price (in $)	Storage Space (in GB)	Camera (in MP)	Looks
M1	250	16	12	Excellent
M2	200	16	8	Average
M3	300	32	16	Good
M4	275	32	8	Good
M5	225	16	16	Below Average

• weights = [0.25,0.25,0.25,0.25]
• impacts = [-,+,+,+]

Output:

Model	Price (in $)	Storage Space (in GB)	Camera (in MP)	Looks	Topsis Score	Rank
M1	250	16	12	Excellent	0.526983	3
M2	200	16	8	Average	0.190599	5
M3	300	32	16	Good	0.809401	1
M4	275	32	8	Good	0.688168	2
M5	225	16	16	Below Average	0.422630	4

Important Points

• The first column is not considered while solving the MCDM Problem. Make sure the csv file follows the format as shown in sample.csv.
• Any column (from 2nd to last) containing categorical values is converted into numeric column .

License

MIT