Package: fispro Version: 3.4-1 Architecture: i386 Maintainer: bch Installed-Size: 15470 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.4), libgsl2, libstdc++6 (>= 5.2), libgsl0ldbl Filename: ./i386/fispro_3.4-1_i386.deb Size: 5577796 MD5sum: 456db4531d837fa59d256fee66b3ed65 SHA1: d4a9716d01d2e9adc8d5311cb50e4527e46657a1 SHA256: 4c6fdd911d09a821be336ea7bc2ee546c2285e55a094a5786ffb115667af7ebc Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: i386 Maintainer: bch Installed-Size: 53353 Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.4), libgsl2, libstdc++6 (>= 5.2), openjdk-8-jre | openjdk-7-jre Filename: ./i386/fispro_3.5-1_i386.deb Size: 13421922 MD5sum: 2455962d1c14384c8d0c508b4974002c SHA1: 42b6191f983affb6ba0e753f9a734acd0f4ea394 SHA256: d6c32a0193ae65fcc7d4b180a99c98eed2d974e41ee748fe27e3a7f34f22f04c Section: Math Priority: optional Description: fuzzy inference system design FisPro (Fuzzy Inference System Professional) allows to create fuzzy inference systems and to use them for reasoning purposes. They are based on fuzzy rules, which have a good capability for managing progressive phenomenons. Fuzzy logic, since the pioneer work by Zadeh, has proven to be a powerful interface between symbolic and numerical spaces. One of the reasons for this success is the ability of fuzzy systems to incorporate human expert knowledge with its nuances, as well as to express the behaviour of the system in an interpretable way for humans. Another reason is the possibility of designing data-driven FIS to make the most of available data. FisPro implementation allows to design fuzzy systems from expert knowledge or data. This package provides FisPro Java interface and C++ programs. Package: fispro Version: 3.4-1 Architecture: amd64 Maintainer: bch Installed-Size: 15705 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.4), libgsl2, libstdc++6 (>= 5.2), libgsl0ldbl Filename: ./amd64/fispro_3.4-1_amd64.deb Size: 5644126 MD5sum: 428bdab32558a9b431e2a6f0a00b2c6c SHA1: f2df225bed5e71a2db5c925b037cef247665c071 SHA256: 589acb18cf942d9cb630a157c01d736754e53143ed6e79ab4e71a42e60aef34b Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: amd64 Maintainer: bch Installed-Size: 53517 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.4), libgsl2, libstdc++6 (>= 5.2), openjdk-8-jre | openjdk-7-jre Filename: ./amd64/fispro_3.5-1_amd64.deb Size: 13383358 MD5sum: e9a389b4a8ecba56521cc6fa86252d4e SHA1: 3393a22b4a52591960281de116969daecda380d1 SHA256: 81156d7c3d88fefb54d74a32b28da728951adce702f78a734453ded6e3890280 Section: Math Priority: optional Description: fuzzy inference system design FisPro (Fuzzy Inference System Professional) allows to create fuzzy inference systems and to use them for reasoning purposes. They are based on fuzzy rules, which have a good capability for managing progressive phenomenons. Fuzzy logic, since the pioneer work by Zadeh, has proven to be a powerful interface between symbolic and numerical spaces. One of the reasons for this success is the ability of fuzzy systems to incorporate human expert knowledge with its nuances, as well as to express the behaviour of the system in an interpretable way for humans. Another reason is the possibility of designing data-driven FIS to make the most of available data. FisPro implementation allows to design fuzzy systems from expert knowledge or data. This package provides FisPro Java interface and C++ programs.