Package: fispro Version: 3.4-1 Architecture: i386 Maintainer: bch Installed-Size: 14895 Depends: libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.9) Filename: ./i386/fispro_3.4-1_i386.deb Size: 5603682 MD5sum: 3c2e3df15058fc490c6614e460961982 SHA1: 1474ab84500a7fd99e9b733d658525f49f497cc1 SHA256: ebc75d2340eb861d34395afccea4c09c76c501bbb53e4327c021d7ad6fb204f4 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: i386 Maintainer: bch Installed-Size: 52528 Depends: libc6 (>= 2.1.3), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.9), openjdk-8-jre | openjdk-7-jre Filename: ./i386/fispro_3.5-1_i386.deb Size: 13413422 MD5sum: d5dc7ddce666b33c7240b17d4e9c7124 SHA1: 1d34d1532d3c712281b2b1cf211a4a3ef92b63ce SHA256: 55ede93a557a1470df730b1ce5f6508302353b125e09d92aa7b76b34b1ef6f58 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: 15220 Depends: libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.9) Filename: ./amd64/fispro_3.4-1_amd64.deb Size: 5675264 MD5sum: d19677128e6f02d685018aac5b98c161 SHA1: babcbd718f6abc40320e9174293bce72894b82e2 SHA256: 2c6b3ecfb7123ef5c87f6fc97523dc8a1ef0960ac5d9b362e56bf333e79872f2 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: amd64 Maintainer: bch Installed-Size: 52799 Depends: libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.9), openjdk-8-jre | openjdk-7-jre Filename: ./amd64/fispro_3.5-1_amd64.deb Size: 13443748 MD5sum: b6705d8e2aefa24918fbabe95a36be46 SHA1: dff0b4bd2cafcbb913c3b8126309e562f4edcbf0 SHA256: dd57d9d8d1c37151f87f81538a4385e072d619387a5df7f6dd410726f7ea659f 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.