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Description:

topsisAnanya102017024 1.0.0

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 the following command
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