Package: fispro Version: 3.4-1 Architecture: i386 Maintainer: bch Installed-Size: 14065 Depends: libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6) Filename: ./i386/fispro_3.4-1_i386.deb Size: 8132654 MD5sum: 6d0aedbd76181390e3071c1c1108c69f SHA1: 9bbe596bc9258e96b020a0c3a06505a19907c67a SHA256: 9d36d0d750d28ce051c0f4344dfe328b4cc41e01f79821f30aabc49df3466b19 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: i386 Maintainer: bch Installed-Size: 51703 Depends: libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6), openjdk-8-jre | openjdk-7-jre Filename: ./i386/fispro_3.5-1_i386.deb Size: 18663770 MD5sum: c96fb470ddd96fc86b99b10329e0be1a SHA1: ad079dd7cb7b9e8439fd7c0029b3cd1f40f0366b SHA256: 9849ed0ab246399cc57b3d2334923017da467f5068726155ca1e9fc476318688 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: 14276 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6) Filename: ./amd64/fispro_3.4-1_amd64.deb Size: 8398190 MD5sum: df788827683f67c0fdab4cf801f94709 SHA1: 0ec9abe22677cdd293398b71dbd30f9e6afdf5b9 SHA256: 7e308f4a71c76629213959b33307058fb671cd97be354b96afa578265b26e7cf Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: amd64 Maintainer: bch Installed-Size: 51916 Depends: libc6 (>= 2.2.5), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6), openjdk-8-jre | openjdk-7-jre Filename: ./amd64/fispro_3.5-1_amd64.deb Size: 18937544 MD5sum: f1136f6d1aa01584766c2ae8f09dfb7a SHA1: 2f23543959e0f586b7433d339a29c2a77a8e3303 SHA256: df94ea4cb5fc89b6a9c6a257b2348dd3592ca8008e23df0fde84096097b50d81 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.