• ANFIS

  • Referenced in 279 articles [sw08730]
  • both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output ... simulation, the ANFIS architecture is employed to model nonlinear functions, identify nonlinear components on-line ... neural networks and earlier work on fuzzy modeling are listed and discussed. Other extensions...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • Takagi-Sugeno-type fuzzy rule set for a DENFIS online model; and (2) creation ... DENFIS offline model. A set of fuzzy rules can be inserted into DENFIS before ... during its learning process. Fuzzy rules can also be extracted during or after the learning ... employed in both online and offline DENFIS models, is also introduced. It is demonstrated that...
  • Fuzzy Logic Toolbox

  • Referenced in 59 articles [sw07379]
  • methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox lets you model complex system ... then implement these rules in a fuzzy inference system ... Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system...
  • FLINTSTONES

  • Referenced in 64 articles [sw17950]
  • tuple linguistic model. Computing with words in decision making. This book examines ... paradigm, and the fuzzy linguistic approach. The 2-tuple linguistic model is the most popular ... linguistic model. Professionals and researchers working in the field of classification or fuzzy sets...
  • SOMA

  • Referenced in 21 articles [sw02480]
  • optimal relations or fuzzy sets in fuzzy models; and so on. Solutions to such problems...
  • HyFIS

  • Referenced in 13 articles [sw24184]
  • Inference System), for building and optimising fuzzy models. The proposed model introduces the learning power ... applicability of the proposed neuro-fuzzy hybrid model, extensive simulation studies of nonlinear complex dynamic ... HyFIS system is a superior neuro-fuzzy modelling technique...
  • RSPOP

  • Referenced in 8 articles [sw02562]
  • fuzzy rule identification algorithm. System modeling with neuro-fuzzy systems involves two contradictory requirements: interpretability ... interpretability of the POPFNN in linguistic fuzzy modeling. This article proposes a novel rough ... using the proposed algorithm to identify fuzzy rules in the POPFNN using compositional rule...
  • LOLIMOT

  • Referenced in 7 articles [sw05793]
  • belongs to the family of neuro-fuzzy models. This tool allows you to convert...
  • FuzzME

  • Referenced in 3 articles [sw00312]
  • developed as a tool for creating fuzzy models of multiple-criteria evaluation and decision making ... type of evaluations employed in the fuzzy models fully corresponds with the paradigm ... FuzzME software takes advantage of linguistic fuzzy modeling to the maximum extent. This paper also ... summary of other available software product for fuzzy multiple-criteria evaluation. In this paper...
  • FUSIM

  • Referenced in 6 articles [sw01412]
  • FUSIM - A program for fuzzy-linguistic modelling and simulation of technological processes...
  • FULPAL

  • Referenced in 19 articles [sw09138]
  • replaced by a crisp inequality and a fuzzy objective function (utility function). This interpretation coincides ... procedure is modelled as an interactive man-machine process, called FULPAL (Fuzzy linear programming based...
  • FAMOUS

  • Referenced in 2 articles [sw36917]
  • FAMOUS, which stands for Fuzzy Arithmetical Modeling Of Uncertain Systems, is a Matlab-based toolbox ... quantification of the uncertain model parameters using fuzzy numbers ... simulation of the so obtained fuzzy-parametrized models, the evaluation and analysis of the resulting ... values, the identification / estimation of uncertain, fuzzy-valued model parameters from observed uncertain outputs...
  • HPAM

  • Referenced in 3 articles [sw10931]
  • patterns; the flexibility and interpretability of fuzzy models; and the multi-objective evolutionary algorithms capability...
  • ICOT

  • Referenced in 3 articles [sw00432]
  • unit of inference. An object-oriented model is a powerful alternative to complement the drawback ... need to support manipulation of fuzzy knowledge to model the real world as close ... possible. Three types of fuzzy information are identified, and a proper way of representing ... which rule-based deduction, object-oriented modeling, and fuzzy inferencing are combined altogether. This...
  • frbs

  • Referenced in 2 articles [sw24181]
  • implementation of various learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with ... FRBS model defined by human experts. FRBSs are based on the concept of fuzzy sets ... known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there ... wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering...
  • AKIRA

  • Referenced in 10 articles [sw02968]
  • Agents and a web/system development platform to model their behaviour. The system core is made ... provided: Fuzzy Logic and Fuzzy Cognitive Maps. A strong multithread model ensures great scalability...
  • SAINTETIQ

  • Referenced in 17 articles [sw02290]
  • SAINTETIQ: A fuzzy set-based approach to database summarization. A new approach to database summarization ... introduced through our model named SAINTETIQ. Based on a hierarchical conceptual clustering algorithm, SAINTETIQ incrementally ... summary hierarchy from database records. Furthermore, the fuzzy set-based representation of data allows...
  • Nefrit

  • Referenced in 2 articles [sw04094]
  • possibilities of fuzzy set theory, including applications of the theory to modelling meanings ... linguistic expressions (linguistic variable theory). Fuzzy numbers model expert evaluations of alternatives according to individual...
  • FINDCLUS

  • Referenced in 3 articles [sw20020]
  • alternative to INDCLUS capable to offer a fuzzy partition of the objects by generalizing ... idea behind SAFC. This new model is called Fuzzy INdividual Differences CLUStering (FINDCLUS). An algorithm...
  • PyIT2FLS

  • Referenced in 1 article [sw31248]
  • well-developed approach for constructing verbal models. Fuzzy based methods are getting more popular, while ... Python toolkit for Interval Type 2 Fuzzy Logic Systems (IT2FLS). Developing software tools ... tools for fast and easy modeling of fuzzy systems. This paper includes a brief description...