Package: fispro Version: 3.4-1 Architecture: amd64 Maintainer: bch Installed-Size: 14388 Depends: libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6) Filename: ./amd64/fispro_3.4-1_amd64.deb Size: 5539226 MD5sum: 86e0955a9eccaaa7cf14260c35689336 SHA1: d0046a2e9f87d5f92278585e7969d857f0437da8 SHA256: c33bb0606bc8e17b00cce32ad139743398b0bb7bb775bf30e3879b5159a82611 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.4-1 Architecture: i386 Maintainer: bch Installed-Size: 14307 Depends: libc6 (>= 2.4), libgcc1 (>= 1:4.1.1), libgsl0ldbl (>= 1.9), libstdc++6 (>= 4.6) Filename: ./i386/fispro_3.4-1_i386.deb Size: 5480758 MD5sum: 022a211ce394e1532f73a77e10a0fb61 SHA1: 2619e50de84ba8615024d6bc60d7aeda0d7e87de SHA256: b1921b4c314c13618640b421f5f7f1381f8e509e1582a22332997f07f298a254 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: amd64 Maintainer: bch Installed-Size: 52043 Depends: libc6 (>= 2.14), 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: 13235422 MD5sum: b568dc64c3508eceeeceaf98d28b488c SHA1: 03f858f34f2d03db0059bf4533d94a9bef4fc4dc SHA256: 8c9f82df07d0f3c87924d3f6490e9e995938861e4bd749270784bb3b6b64827d 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: 3.5-1 Architecture: i386 Maintainer: bch Installed-Size: 51934 Depends: libc6 (>= 2.4), 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: 13187388 MD5sum: 73fcd982f746213533f296acab6943c9 SHA1: a4e581931bb56cab17891fb020fbdca4d7de452e SHA256: 803600a4eaaac1754bfeaed7ddb264ede8b5fbbc37d3e1e973bdf2a196f5b861 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.