How to Install and Uninstall libfuzzylite-dev Package on Kali Linux

Last updated: April 29,2024

1. Install "libfuzzylite-dev" package

This tutorial shows how to install libfuzzylite-dev on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                libfuzzylite-dev
            
                    
    
    Copied

2. Uninstall "libfuzzylite-dev" package

This tutorial shows how to uninstall libfuzzylite-dev on Kali Linux:


    
        
            $
        

        
            
                sudo apt remove
            
                        
                libfuzzylite-dev
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the libfuzzylite-dev package on Kali Linux

Package: libfuzzylite-dev
Source: fuzzylite (6.0+dfsg-7)
Version: 6.0+dfsg-7+b1
Installed-Size: 4627
Maintainer: Johannes Schauer Marin Rodrigues
Architecture: amd64
Depends: libfuzzylite6.0 (= 6.0+dfsg-7+b1)
Size: 512704
SHA256: 64d2928318f323346e65939b13cf3cac14b59e4c7d5bd4639f44e0863a716fed
SHA1: d2651d14d0bf0e710fb9233a5a2c317390c3dd98
MD5sum: b215b13fd0f5f6c2f6a11ed421d2a2de
Description: 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:
Multi-Arch: same
Homepage: https://www.fuzzylite.com/cpp/
Tag: devel::library, role::devel-lib
Section: libdevel
Priority: optional
Filename: pool/main/f/fuzzylite/libfuzzylite-dev_6.0+dfsg-7+b1_amd64.deb