Package: fispro Version: 3.4-1 Architecture: amd64 Maintainer: bch Installed-Size: 14400 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: 8428092 MD5sum: 80ddba80d7d972b46450f19876ced7dc SHA1: ed4a0b32022e6a617c7b93d27fc3e805530a71e2 SHA256: 1490f345224d9c937ca812300e2ddfa6ac2d877d0a1ae47d16d8b590020ed925 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: amd64 Maintainer: bch Installed-Size: 52020 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: 18938088 MD5sum: 0c9fc44a108e1adad4ec79b4ddeec2f9 SHA1: 468f79fc6580a54eb4742a5ff32677bc17fb7e81 SHA256: 2a024f927cba0656d6bd662c03c56819e00fcd3a985c3fe935f3547f154f0f7c 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: i386 Maintainer: bch Installed-Size: 14311 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: 8195536 MD5sum: bce91c416f61b1711c2f000689a900ac SHA1: c71ae7ee2812578328b827eccbfc61da104f04dd SHA256: befb4fade6a05fd860af5f0e7b69e609704fe977b61f825e42923e81c969f6b1 Section: Math Priority: optional Description: fuzzy inference system design Package: fispro Version: 3.5-1 Architecture: i386 Maintainer: bch Installed-Size: 51935 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: 18709396 MD5sum: c6cbf271f6870f97e5c3e87bc4fb2c12 SHA1: 876a1af0f9401fac338e0d5e26115c0f667542f6 SHA256: fab8554efebbf106227d34eaa12b1e18226ba44d75467c8d898ec606a90a5f5f 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.