Topsis-Yuvraj-102017081 1.1.2

Topsis Package for solving MCDM Problems

TOPSIS Package

Submitted by:
Name: YUVRAJ KALSI
Roll No: 102017081
Group: 3CS4

Topsis-Yuvraj-102017081 is a python library which uses technique called TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to solve Multiple-Criteria Decision Making (MCDM) problems.

Installation

Install this package in the system using pip command.

  pip install Topsis-Yuvraj-102017081

Usage

• Import the installed library using the following command.

  import Topsis

You can import it using the first word coming before hypen (-) in library's name as shown above.

• 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(,)

  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 using Label Encoding Technique.

License

MIT