Metadata-Version: 2.1
Name: Topsis-Ritwik-101917131
Version: 1.2.0
Summary: Package to calculate Topsis Score and Rank them accordingly
Home-page: UNKNOWN
Author: Ritwik Khanna
Author-email: khannaritwik.rk@gmail.com
License: MIT
Description: ## Topsis_Ritwik
        
        # TOPSIS
        
        Created By: **Ritwik Khanna**.
        Type: **Package**.
        
        Title: **TOPSIS method for multiple-criteria decision making (MCDM)**.
        
        Version: **1.2.0**.
        
        Author: **Ritwik Khanna**.
        
        Maintainer: **Ritwik Khanna <khannaritwik.rk@gmail.com>>**.
        
        Description: **Evaluation of alternatives based on multiple criteria using TOPSIS method.**.
        
        ---
        
        ## What is TOPSIS?
        
        **T**echnique for **O**rder **P**reference by **S**imilarity to **I**deal **S**olution
        (TOPSIS) originated in the 1980s as a multi-criteria decision making method.
        TOPSIS chooses the alternative of shortest Euclidean distance from the ideal solution,
        and greatest distance from the negative-ideal solution.
        
        <br>
        
        ## How to install this package:
        
        ```
        >> pip install Topsis-Ritwik-101917131
        ```
        
        ### In Command Prompt
        
        ```
        >> python topsis.py data.csv "1,1,1.5,1,2" "+,+,-,+,-" result.csv
        ```
        
        ## Input file (data.csv)
        
        The decision matrix should be constructed with each row representing a Model alternative, and each column representing a criterion like Accuracy, R<sup>2</sup>, Root Mean Squared Error, Correlation, and many more.
        
        | Model |  P1  |  P2  |  P3  |  P4  |  P5   |
        | ----- | ---- | ---- | ---- | ---- | ----  |
        | M1    | 0.84 | 0.71 | 6.7  | 42.1 | 12.59 |
        | M2    | 0.91 | 0.83 | 7.0  | 31.7 | 10.11 |
        | M3    | 0.79 | 0.62 | 4.8  | 46.7 | 13.23 |
        | M4    | 0.78 | 0.61 | 6.4  | 42.4 | 12.55 |
        | M5    | 0.94 | 0.88 | 3.6  | 62.2 | 16.91 |
        | M6    | 0.88 | 0.77 | 6.5  | 51.5 | 14.91 |
        | M7    | 0.66 | 0.44 | 5.3  | 48.9 | 13.83 |
        | M8    | 0.93 | 0.86 | 3.4  | 37.0 | 10.55 |
        
        Weights (`weights`) is not already normalised will be normalised later in the code.
        
        Information of benefit positive(+) or negative(-) impact criteria should be provided in `impacts`.
        
        <br>
        
        ## Output file (result.csv)
        
        | Model |  P1  |  P2  |  P3  |  P4  |  P5   |  Topsis Score  | Rank |
        | ----- | ---- | ---- | ---- | ---- | ----  |  ------------  | ---- |
        | M1    | 0.84 | 0.71 | 6.7  | 42.1 | 12.59 |     0.4295     |  5   |
        | M2    | 0.91 | 0.83 | 7.0  | 31.7 | 10.11 |     0.5055     |  4   |
        | M3    | 0.79 | 0.62 | 4.8  | 46.7 | 13.23 |     0.5358     |  3   |
        | M4    | 0.78 | 0.61 | 6.4  | 42.4 | 12.55 |     0.4185     |  6   |
        | M5    | 0.94 | 0.88 | 3.6  | 62.2 | 16.91 |     0.5616     |  2   |
        | M6    | 0.88 | 0.77 | 6.5  | 51.5 | 14.91 |     0.3983     |  8   |
        | M7    | 0.66 | 0.44 | 5.3  | 48.9 | 13.83 |     0.4134     |  7   |
        | M8    | 0.93 | 0.86 | 3.4  | 37.0 | 10.55 |     0.7332     |  1   |
        
        
        
        
        
        
        
        
        
        <br>
        The output file contains columns of input file along with two additional columns having **Topsis_score** and **Rank**
Keywords: Python,Topsis,UCS654
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
