topsis-Ananya-102017024 0.0.1

This program uses command line arguments to implement Topsis : a Multi-Criteria Decision Ananlysis (MCDA) method

Project Description

Topsis

TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a Multi-Criteria Decision Ananlysis (MCDA) method that is used to solve multiple criteria decision making problems.

It uses the fundamental premise that the best solution has the shortest distance from the positive-ideal solution, and the longest distance from the negative-ideal one and ranks solutions that have multiple criterias.

Installation

Use pip to install:

pip install topsis-ananya-102017024

Prerequisite Libraries needed to be downloaded before running this package are :

• Numpy
• Pandas

Usage

Run topsis in the input file's directory as follows:

topsis <input_file_name> <weights> <impacts> <output_file_name>

For example, Use quotation marks while including spaces in any argument:

topsis data.csv "1, 1, 1, 1" "+, -, +, -" result.csv

or vectors can be entered without any space

topsis data.csv 1,1,1,1 +,-,+,- result.csv

Note that

• Input file must contain three or more columns.
• Except the first column of the input file the rest must be numeric
• Weights must be numeric
• Impacts must be either
  • + (for features that are to be maximised)
  • - (for features that are to be minimized)
• Both Impacts & Weights must be seperated by a comma ,

Example

input.csv

Attribute	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

On running

topsis input.csv "0.25,0.25,0.25,0.25" "-,+,+,+" output.csv

output.csv

Attribute	Price	Storage	Camera	Looks	Topsis Score	Rank
M1	250	16	12	5	0.534269	3
M2	200	16	8	3	0.308314	5
M3	300	32	16	4	0.691686	1
M4	275	32	8	4	0.534807	2
M5	225	16	16	2	0.401222	4

License

MIT