Topsis-Jashan-102017034 0.3

This python package helps to implement a multiple criteria decision analysis process called TOPSIS

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_102017034

Usage

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

License

MIT