Topsis-Noordeep-102017145 1.0.0.2

A Python package for handling problems of Multiple Criteria Decision Making(MCDM) for a given dataset.

Topsis-Noordeep-102017145

Topsis-Noordeep-102017145 is a Python package for dealing with Multiple Criteria Decision Making(MCDM) problems by using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS). Topsis is a method of compensatory aggregation that compares a set of alternatives, normalising scores for each criterion and calculating the geometric distance between each alternative and the ideal alternative, which is the best score in each criterion.

Installation

Use the package manager pip to install Topsis-Noordeep-102017145

Syntax

topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>
Example:
topsis inputfile.csv 1,2,1,2,1 +,+,-,+,- result.csv

Example

Sample Input Data

Name	P1	P2	P3	P4	P5
M1	0.71	0.5	3.8	40.8	11.5
M2	0.94	0.88	5.3	56.2	15.83
M3	0.85	0.72	4	30.5	9.02
M4	0.61	0.37	5.4	56.9	15.82
M5	0.91	0.83	3.4	53.4	14.64

Weights: 1,1,1,1,1 Impacts: +,+,+,+,+

Sample Output Data

Name	P1	P2	P3	P4	P5	Score	Rank
M1	0.71	0.5	3.8	40.8	11.5	0.3015751942839768	5
M2	0.94	0.88	5.3	56.2	15.83	0.97815026808521971	1
M3	0.85	0.72	4	30.5	9.02	0.4172925776259159	4
M4	0.61	0.37	5.4	56.9	15.82	0.5053936295885693	3
M5	0.91	0.83	3.4	53.4	14.64	0.6774035368116197	2

Note

1. Enter the path of your input csv file.
2. Enter the weights and impacts vector with each entry separated by commas.
3. Enter the name of output file in .csv format.
4. The Output file will be created in the current working directory

License

MIT