Topsis-Sanyam-101903481 1.0.1

Package to calculate the TOPSIS Score and Rank

Topsis-Sanyam-10193481

A package to implement Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) for dealing with multi-attribute or multi-criteria decision making (MADM/MCDM) problems in the real world.

How to install

This package is available through PyPi and can be installed via the following command:

$ pip install Topsis-Sanyam-101903481

Usage

To implement TOPSIS, run the following command in the terminal:

$ topsis <inputFileName> <weights> <impacts> <outputFileName>

inputFileName: CSV input file containing atleast three columns. First column must be the object/variable name and other columns must contain numeric values only.

weights : comma separated numeric values enclosed between "" or ''. Number of weights must be equal to the number of attributes/criteria (2nd to last column)

impacts : comma separated '+' or '-' values enclosed between "" or ''. Number of impacts must be equal to the number of attributes/criteria (2nd to last column)

outputFileName : CSV output file which will contain all the columns of inputs file and two additional columns having TOPSIS Score and Rank

Example

$ topsis sample.csv "0.25,0.25,0.25,0.25" "-,+,+,+" result.csv

Input File - sample.csv

---

Model	Price	Storage	Camera	Looks
M1	250	16	12	5
M2	200	16	8	3
M3	300	32	16	4
M4	275	32	8	4
M5	225	16	16	2

---

Output File - result.csv

---

Model	Price	Storage	Camera	Looks	TOPSIS Score	Rank
M1	250	16	12	5	0.5342768571	3
M2	200	16	8	3	0.3083677687	5
M3	300	32	16	4	0.6916322312	1
M4	275	32	8	4	0.5347365844	2
M5	225	16	16	2	0.4010461215	4

License

© 2022 Sanyam Sharma