How to Install and Uninstall libfuzzylite-dev Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 26,2024

1. Install "libfuzzylite-dev" package

Please follow the guidance below to install libfuzzylite-dev on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                libfuzzylite-dev
            
                    
    
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2. Uninstall "libfuzzylite-dev" package

Please follow the step by step instructions below to uninstall libfuzzylite-dev on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                libfuzzylite-dev
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the libfuzzylite-dev package on Ubuntu 20.10 (Groovy Gorilla)

Package: libfuzzylite-dev
Architecture: amd64
Version: 6.0+dfsg-2build1
Multi-Arch: same
Priority: extra
Section: universe/libdevel
Source: fuzzylite
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Johannes 'josch' Schauer
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5247
Depends: libfuzzylite6.0 (= 6.0+dfsg-2build1)
Filename: pool/universe/f/fuzzylite/libfuzzylite-dev_6.0+dfsg-2build1_amd64.deb
Size: 537984
MD5sum: 199aeb6468b7ac35a8ba9c499f30e7d7
SHA1: 4dfd9a24df72cfad521c30557a2a8e67b3a2dea7
SHA256: 9559923aa6abcf29fe47942dd739c1f305c8da7c2c2b431cd53e55cc641de271
SHA512: 44cfc6098c66ff60708a0ef0544af04b50eebf4c568faad2249ed2c217aa6187fbfe14372b866f9e87c28bbf0304417116dee5387fe77870eb33daaea7732452
Homepage: http://www.fuzzylite.com/cpp/
Description-en: fuzzy logic control development headers
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 development headers
Description-md5: bd42374821a6b730aaa83d0081b6ea27