• DYFRAT

  • Referenced in 1 article [sw32789]
  • methodology for modeling human rating evaluations from a fuzzy-set perspective (Calcagni’ & Lombardi ... particular, DYFRAT captures the fuzziness of human ratings by modeling some real-time biometric events ... data information which is in turn modelled by two physical components: a) the motor activation ... components into a common and comprehensive fuzzy model which allows to express the overall fuzziness...
  • HABFUZZ

  • Referenced in 1 article [sw29199]
  • command-line tool for data-driven fuzzy modelling. HABFUZZ is an open source fuzzy rule ... based model developed in Fortran. It predicts the response variable of any given ... four predictors using fuzzy logic and fuzzy rule-based Bayesian algorithms. HABFUZZ is open-source...
  • PANFIS

  • Referenced in 9 articles [sw13735]
  • alluded and blended to be one fuzzy set as a pursuit of a transparent rule ... escalating human’s interpretability. The learning and modeling performances of the proposed PANFIS are numerically ... with state-of-the-art evolving neuro-fuzzy methods and showcases that our new method ... approaches in terms of predictive fidelity and model complexity...
  • MOSSFARM

  • Referenced in 2 articles [sw02750]
  • MOSSFARM: model structure selection by fuzzy association rule mining Effective methods for feature and model ... regressors) in nonlinear (dynamic) models with mixed discrete (categorical, fuzzy) and continuous inputs and outputs...
  • ALUES

  • Referenced in 1 article [sw42024]
  • properties. The membership functions used for fuzzy modeling are the following: Triangular, Trapezoidal and Gaussian...
  • KERNEL

  • Referenced in 2 articles [sw02454]
  • topology the structure of the fuzzy inference model on which the KERNEL system is based...
  • AX-GADGET

  • Referenced in 4 articles [sw41501]
  • cosmological simulations of Fuzzy Dark Matter and Axion models. We present a new module ... thermal dark matter, often referred as Fuzzy Dark Matter (FDM). The dynamics ... wide range of possibilities to constrain FDM models and explore its degeneracies with other physical...
  • GENEFER

  • Referenced in 1 article [sw16838]
  • rule-based approach which we model using fuzzy rule bases. For example if a single ... discourse. In order to learn a fuzzy rule base from examples we introduce genetic algorithms ... from an economic simulation model. The software GENEFER (GEnetic NEural Fuzzy ExploreR) has been developed...
  • iCDI-PseFpt

  • Referenced in 15 articles [sw30067]
  • amino acid composition) generated with the gray model theory, the drug compound ... fingerprint, and the operation engine is the fuzzy (K)-nearest neighbor algorithm. The overall success...
  • fugeR

  • Referenced in 1 article [sw24182]
  • learning algorithm to construct prediction model based on fuzzy logic. This is an evolutionary algorithm ... used as a prediction model, it’s composed of fuzzy logic rules that provide...
  • FCMappers

  • Referenced in 2 articles [sw13615]
  • sharing their knowledge, information and thoughts about fuzzy cognitive mapping (FCM), network analysis and other ... related approaches. FCM is a soft-system modelling and mapping approach combining aspects of qualitative ... know - the only freely available Fuzzy Cognitive Mapping & Modelling software. It is based on Excel...
  • fuzzyreg

  • Referenced in 1 article [sw41112]
  • functions estimate parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular ... with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates...
  • PROBO

  • Referenced in 7 articles [sw23060]
  • interactive decision support system for fuzzy optimization problems, which allows intelligent decisions according ... actuation preferences, depending on the associated model. This interactive system provides adaptation and training features ... possibilities of a specific domain of fuzzy problem. The system is analyzed and their modules...
  • Cellnoptr

  • Referenced in 5 articles [sw15114]
  • logic-based models of signal transduction networks using different logic formalisms (Boolean, Fuzzy, or differential ... throughput biochemical data to create cell-specific models. CellNOpt is freely available under GPL license...
  • DIDASN++

  • Referenced in 2 articles [sw25293]
  • formats of defining nonlinear and time-discrete models are discussed together with related problems ... Algebraic differentiation and sensitivity analysis, fuzzy set representation of modeler preferences are also useful techniques...
  • AnalyzeTS

  • Referenced in 0 articles [sw15605]
  • series models and propose the best model. Fuzzy time series can be analyzed by ”Chen...
  • SAMT2

  • Referenced in 0 articles [sw14457]
  • Python2/Cython module for ”Spatial Analysis and Modeling”. SAMT2 can: define a grid (matrix with geographical ... apply spatial data to fuzzy models, SVMs and other. It uses a lot of open ... basis library and contains a fuzzy toolbox, has a graphical user interface including a help...
  • FuzzyLP

  • Referenced in 2 articles [sw23059]
  • FuzzyLP: An R package for solving fuzzy linear programming problems. An inherent limitation of linear ... conditions concerning the problem being modeled. This is not always possible as there exist uncertainty ... Fuzzy linear programming allows working with imprecise data and constraints, leading to more realistic models ... been developed for public use that solves fuzzy linear programming problems. Here, we present...
  • SINGRAR

  • Referenced in 2 articles [sw02322]
  • approach and on a fuzzy multiple attribute decision making model. Underway is the development...