Topsis-Kartik-102217118 1.0.1

Topsis-Kartik-102217118 is a Python package designed to simplify multi-criteria decision-making using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method. This tool allows users to evaluate and rank alternatives systematically, making it ideal for use in areas such as business analytics, project management, and research.

Topsis-Kartik-102217118

Topsis

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

In a general sense, it is the aspiration of human being to make "calculated" decision in a position of multiple selection. In scientific terms, it is the intention to develop analytical and numerical methods that take into account multiple alternatives with multiple criteria. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is one of the numerical methods of the multi-criteria decision making

Installation

Use the package manager pip to install the package

pip install Topsis-Kartik-102217118

Usage

topsis module will take the data.csv file , weights , impacts , result.csv file:

1. data.csv file - It is a dataset in CSV format which has atleast 3 columns(including the first column with names). It should only have numerical values. Any non-numerical value should be encoded before passing it to function.
2. weights - It is a string of comma(,) separated numbers which tell the weight of each criteria.
3. impacts - It is a string of comma(,) separated + and - sign showing the impact of criteria on decision making.
4. result.csv file - The output will be saved as a new CSV file, containing the original data, scores, and the final ranking for all alternatives. The command line interface can be used as follows:

python 102217118.py data.csv "1,2,1" "+,+,-" result.csv

Example

data.csv (Input):

contestent	sur	tal	lah	pitch	sharpness
a	4	18	6.5	35	15
b	6	14	4	38	19
c	6	12	5	42	20
d	8	26	7	50	25
e	3	14	6	40	14

pip install Topsis-Kartik-102217118
python 102217118.py data.csv "1,1,1,1,1" "+,+,-,+,-" result.csv

Output: the result.csv file

contestent	sur	tal	lah	pitch	sharpness	output
a	4	18	6.5	35	15	3
b	6	14	4	38	19	4
c	6	12	5	42	20	2
d	8	26	7	50	25	1
e	3	14	6	40	14	5