Metadata-Version: 2.1
Name: TOPSIS-ANALYSIS-kriti
Version: 1.1.2
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 UCS633
        
        Name **Kriti Pandey** 
        
        Roll no **101703292**
        
        Group **3COE13**
        
        
        ## Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install TOPSIS-ANALYSIS-kriti.
        
        ```bash
        pip install TOPSIS-ANALYSIS-kriti
        ```
        
        ## 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
        
        | ID | EYES | NOSE | FOREHEAD | LIPS  | CHIN |
        |----|------|------|----------|-------|------|
        | S1 | 0.79 | 0.62 | 1.25     | 60.89 | 11   |
        | S2 | 0.66 | 0.44 | 2.89     | 63.07 | 20   |
        | S3 | 0.56 | 0.31 | 1.57     | 62.87 | 16   |
        | S4 | 0.82 | 0.67 | 2.68     | 70.19 | 16   |
        | S5 | 0.75 | 0.56 | 1.3      | 80.39 | 20   |
        
        ## Input
        
        ```bash
        TOPO_101703292 PhotogenicFace.csv [1,1,1,1,1] [+,-,+,+,+]
        ```
         ## Result
        
        ```bash
        Topsis Selection of DATA
        
        Model | Rank
        _______________
        
        1     | 5
        
        2     | 1
        
        3     | 3
        
        4     | 2
        
        5     | 4
        _______________
        ```
        
        ## 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
