How to Install and Uninstall fuzzylite Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 20,2024

1. Install "fuzzylite" package

In this section, we are going to explain the necessary steps to install fuzzylite on Ubuntu 20.10 (Groovy Gorilla)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                fuzzylite
            
                    
    
    Copied

2. Uninstall "fuzzylite" package

Please follow the instructions below to uninstall fuzzylite on Ubuntu 20.10 (Groovy Gorilla):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                fuzzylite
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the fuzzylite package on Ubuntu 20.10 (Groovy Gorilla)

Package: fuzzylite
Architecture: amd64
Version: 6.0+dfsg-2build1
Priority: extra
Section: universe/misc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Johannes 'josch' Schauer
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1113
Depends: libc6 (>= 2.4), libfuzzylite6.0, libgcc-s1 (>= 3.0), libstdc++6 (>= 4.2.1)
Filename: pool/universe/f/fuzzylite/fuzzylite_6.0+dfsg-2build1_amd64.deb
Size: 741588
MD5sum: 1364c97a3e93d2f072944422a733e63d
SHA1: 53585b870a60988178e6798cc63b8715f9b0ec08
SHA256: 80a4e437c4b3e56e98d15556159ab454b3eed8836befa39e03cc86bee519ff2c
SHA512: e9d257e1ed4b4763d337735513e26f6018735236a1c619a13111b7478543ee40f0d859fdeac00aa16357c5372817811524f4143f1a7567a8fc97963b1c6508d0
Homepage: http://www.fuzzylite.com/cpp/
Description-en: fuzzy logic control binary
fuzzylite is a fuzzy logic control library which allows one to easily
create fuzzy logic controllers in a few steps utilizing object-oriented
programming. It supports five controller types (Mamdani, Takagi-Sugeno,
Larsen, Tsukamoto, Inverse Tsukamoto), 20 linguistic terms, five
integral and two weighted defuzzifiers, six hedge types, three import
types (FuzzyLite Language, Fuzzy Inference System and Fuzzy Control
Language) and six export types (C++, Java, FuzzyLite Language, FuzzyLite
Dataset, Fuzzy Inference System, Fuzzy Control Language). It comes
bundled with more than thirty examples for Mamdani, Takagi-Sugeno and
Tsukamoto controllers from fuzzylite, octave and matlab, each in all
supported export formats.
.
This package contains the runtime binary
Description-md5: c9a162d6dfd61855d12c2cdfbbd3f00f