Metadata-Version: 2.1
Name: twd
Version: 0.0.3
Summary: Three Way Decision/Rough Set library
Home-page: https://github.com/profssribeiro/twd
Author: Sergio S. Ribeiro
Author-email: profssribeiro@gmail.com
License: MIT License
Description: # TWD
        A Python library for Three Way Decision and Rough Set Theory.
        
        ## Citation
        
        ```
        @inproceedings{ribeiro2019toward,
          title={Toward a three-way image classification model: A case study on corn grain images},
          author={Ribeiro, Sergio Silva and Yao, JingTao},
          booktitle={2019 IEEE International Symposium on Multimedia (ISM)},
          pages={177--1776},
          year={2019},
          organization={IEEE}
        }
        ```
        ## Getting Started
        #### Dependencies
        There is not dependecy for this library
        
        #### Installation
        ```
        pip install twd
        ```
        #### Sample Usage 
        For this example we will assume the following Decision System/Table (DS):
        
        | Headache | Muscle Pain | Temperature | Flu |
        | -------- | ----------- | ----------- | --- |
        | n | y | high | y |
        | y | n | high | y |
        | y | y | very high | y |
        | n | y | normal | n |
        | y | n | high | n |
        | n | y | very high | y |
        
        The sample usage considering the mentioned DS is:
        
        ```sh
        from twd import TWD
        
        dt = [["n","y","high","y"],
              ["y","n","high","y"],
              ["y","y","very high","y"],
              ["n","y","normal","n"],
              ["y","n","high","n"],
              ["n","y","very high","y"]]
        
        o3wd = TWD(dt,["Headache","Muscle Pain","Temperature"])
        
        print("U => ",o3wd.getU())
        print("X={x| Flu(x)=y} =>",o3wd.getX("y"))
        print("Va(Headache)",o3wd.getVa("Headache"))
        print("Va(Muscle Pain)",o3wd.getVa("Muscle Pain"))
        print("Va(Temperature)",o3wd.getVa("Temperature"))
        print("Vd",o3wd.getVd())
        print("Va",o3wd.getVa())
        print("IND(A)",o3wd.getIND())
        print("IND(Headache)",o3wd.getIND(["Headache"]))
        print("IND(Headache,Muscle Pain)",o3wd.getIND(["Headache","Muscle Pain"]))
        print("IND(Muscle Pain)",o3wd.getIND(["Muscle Pain"]))
        print("IND(Temperature)",o3wd.getIND(["Temperature"]))
        print("IND(Headache,Temperature)",o3wd.getIND(["Headache","Temperature"]))
        print("lowerXA =>",o3wd.getLowerAX(o3wd.getX("y"),o3wd.getIND()))
        print("upperXA =>",o3wd.getUpperAX(o3wd.getX("y"),o3wd.getIND()))
        print("POS(X)",o3wd.getPOSX(o3wd.getX("y"),o3wd.getIND()))
        print("BND(X)",o3wd.getBNDX(o3wd.getX("y"),o3wd.getIND()))
        print("NEG(X)",o3wd.getNEGX(o3wd.getX("y"),o3wd.getIND()))
        print("Precision of Approximation: ",o3wd.precision(o3wd.getX("y"),o3wd.getIND()))
        print("Quality of Approximation: ",o3wd.quality(o3wd.getX("y"),o3wd.getIND()))
        print("Roughness: ",o3wd.roughness(o3wd.getX("y"),o3wd.getIND()))
        print("")
        print("Rules")
        print(o3wd.getRules(o3wd.getPOSX(o3wd.getX("y"),o3wd.getIND())))
        print("")
        print("Reduction:",o3wd.getReduct())
        ```
        ## Features
        - Indiscernibility
        - Set Approximation
        - Precision of Approximation
        - Quality of Approximation
        - Roughness
        - Rules
        - Reducts
        
        ## License
        
        MIT
Keywords: Pacote
Platform: UNKNOWN
Description-Content-Type: text/markdown
