Metadata-Version: 2.1
Name: TOPSIS-ANALYSIS-kriti
Version: 1.0.1
Summary: A Python package to evaluate ranks of a Multiple Criteria Decision Making Problem(MCDM) using Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)
Home-page: UNKNOWN
Author: Kriti Pandey
Author-email: kritip105@gmail.com
License: MIT
Description: # Project Description
        
        Name **Kriti Pandey** 
        Roll no **101703292**
        Group **3COE13**
        
        
        ## Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install TOPSIS ANALYSIS 3292.
        
        ```bash
        pip install TOPSIS ANALYSIS 3292
        ```
        
        ## Usage
        Enter csv filename followed by .csv extentsion, then enter the weights vector with vector values separated by commas, followed by the impacts vector with comma separated signs (+,-)
        
        ```python
        TOPO_101703292 data.csv [1,1,1,1] [+,+,-,+]
        ```
        ## Sample dataset
        
        ## Constraint 
        *Your csv file should not have categorical data
        
        
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
