Topsis_Jashan_102017034
for: TOPSIS PACKAGE submitted by: Jashanveer Kaur Dhillon Roll no: 102017034 Group: CS2
Topsis_Jashan_102017034 is a Python library for dealing with Multiple Criteria Decision Making(MCDM) problems.
Installation
Use the package manager pip to install Topsis-Jashan-102017034.
pip install Topsis_Jashan_102017034Usage
Firstly, install the Topsis_Jashan_102017034 package. After installation of the package, write the following command :-
from Topsis_Jashan_102017034.Topsis import topsis
topsis() function has four parameters ; The first parameter is for the input csv file , the second parameter is for weights , next parameter is for impacts and the last parameter is for the output csv file.
Example :- topsis(input.csv,"1,1,1,1","+,-,+,+",output.csv)
Make sure that number of weights and impact is equal to the number of columns in input.csv
You can also run topsis from command line as follows :- $ python [package name] [path of csv as string] [list of weights as string] [list of sign as string] [path of output file csv]
Example
sample.csv
A csv file showing data for different mobile handsets having varying features.
| Model | Storage space(in gb) | Camera(in MP) | Price(in $) | Looks(out of 5) |
|---|---|---|---|---|
| M1 | 16 | 12 | 250 | 5 |
| M2 | 16 | 8 | 200 | 3 |
| M3 | 32 | 16 | 300 | 4 |
| M4 | 32 | 8 | 275 | 4 |
| M5 | 16 | 16 | 225 | 2 |
weights vector = [ 1 , 1 , 1 , 1 ]
impacts vector = [ "+" , "+" , "-" , "+" ]
input:
topsis(input.csv,weights,impacts,result.csv)output:
TOPSIS RESULTS
-----------------------------
P-Score Rank
1 0.534277 3
2 0.308368 5
3 0.691632 1
4 0.534737 2
5 0.401046 4
Other notes
- Make sure the csv does not contain categorical values
