How to Install and Uninstall fuzzylite Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "fuzzylite" package

Here is a brief guide to show you how to install fuzzylite on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                fuzzylite
            
                    
    
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2. Uninstall "fuzzylite" package

This tutorial shows how to uninstall fuzzylite on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                fuzzylite
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the fuzzylite package on Ubuntu 21.10 (Impish Indri)

Package: fuzzylite
Architecture: amd64
Version: 6.0+dfsg-3
Priority: extra
Section: universe/misc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Johannes 'josch' Schauer
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1854
Depends: libc6 (>= 2.4), libfuzzylite6.0 (>= 6.0+dfsg), libgcc-s1 (>= 3.0), libstdc++6 (>= 4.4.0)
Filename: pool/universe/f/fuzzylite/fuzzylite_6.0+dfsg-3_amd64.deb
Size: 595792
MD5sum: 63c83a4b037e210ffa79a2ea1b72de54
SHA1: 5861dc3628896c68b4405e6d94ac31492fa2c4b4
SHA256: 66ff16b9e9ff819c68ea976df3ffc16fb9bb7e4575a993dfe4817265b39f0022
SHA512: 501a85a86a8fdd7d47064f070afd26a2337fa9e141a030705d116a1e076618b4349dd1b4d4bc61190a84df2d436d0bd48146686207f0784d302d9493c78a593e
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.
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This package contains the runtime binary
Description-md5: c9a162d6dfd61855d12c2cdfbbd3f00f