• ANFIS

  • Referenced in 279 articles [sw08730]
  • ANFIS: adaptive-network-based fuzzy inference system. The architecture and learning procedure underlying ANFIS (adaptive ... network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented ... both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output ... nonlinear components on-line in a control system, and predict a chaotic time series...
  • Fuzzy Logic Toolbox

  • Referenced in 59 articles [sw07379]
  • analyzing, designing, and simulating systems based on fuzzy logic. The product guides ... through the steps of designing fuzzy inference systems. Functions are provided for many common methods ... then implement these rules in a fuzzy inference system ... blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction. This ... paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving neural-fuzzy ... fuzzy rules are created and updated during the operation of the system. At each time ... DENFIS is calculated through a fuzzy inference system based on m-most activated fuzzy rules...
  • FLINTSTONES

  • Referenced in 65 articles [sw17950]
  • field of classification or fuzzy sets and systems will find the book a valuable resource...
  • HyFIS

  • Referenced in 13 articles [sw24184]
  • HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems ... This paper proposes an adaptive neuro-fuzzy system, HyFIS (Hybrid neural Fuzzy Inference System ... learning power of neural networks to fuzzy logic systems and provides linguistic meaning ... backpropagation learning scheme for a neural fuzzy system. To illustrate the performance and applicability...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. n this paper, we deal ... SparseFIS)] for Takagi-Sugeno (T-S) fuzzy systems, extended by including rule weights. Our learning ... optimizes the rule weights in the fuzzy systems with respect to least-squares error measure ... accuracy and complexity of the fuzzy systems...
  • GenSoFNN

  • Referenced in 9 articles [sw08761]
  • groups. The first group is essentially fuzzy systems with self-tuning capabilities and requires ... computed clusters. However, most existing neural fuzzy systems (whether they belong to the first ... computed. Hence, a novel neural fuzzy system that is immune to the above-mentioned deficiencies ... this paper. This new neural fuzzy system is named the generic self-organizing fuzzy neural...
  • FisPro

  • Referenced in 9 articles [sw16651]
  • FisPro(Fuzzy Inference System Professional) allows to create fuzzy inference systems and to use them ... simulating a physical or biological system. Fuzzy inference systems are briefly described in the fuzzy ... this success is the ability of fuzzy systems to incorporate human expert knowledge with...
  • Fuzzydl

  • Referenced in 27 articles [sw11709]
  • reasoning. The fuzzyDL system includes a reasoner for fuzzy SHIF with concrete fuzzy concepts...
  • FRIL

  • Referenced in 44 articles [sw18490]
  • uncertainties such as probabilistic knowledge and fuzzy incompleteness. Describes the application to general areas ... expert and decision-support systems, evidential and case-based reasoning, fuzzy control and databases...
  • RSPOP

  • Referenced in 8 articles [sw02562]
  • identification algorithm. System modeling with neuro-fuzzy systems involves two contradictory requirements: interpretability verses accuracy ... family of pseudo outer-product-based fuzzy neural networks (POPFNN) suffered from an exponential increase ... complexity, improves the interpretability of neuro-fuzzy systems by identifying significantly fewer fuzzy rules...
  • FRI

  • Referenced in 9 articles [sw07389]
  • rule interpolation Matlab toolbox-FRI toolbox. Fuzzy systems use fuzzy rule base to make inference ... fuzzy inference mechanisms for sparse fuzzy rule base systems. Basically, FRI techniques perform interpolative approximate...
  • PANFIS

  • Referenced in 9 articles [sw13735]
  • Most of the dynamics in real-world systems are compiled by shifts and drifts, which ... overcome by omnipresent neuro-fuzzy systems. Nonetheless, learning in nonstationary environment entails a system owning ... degree of nonlinearity contained in the system. In practice, the rule growing and pruning ... algorithm, namely parsimonious network based on fuzzy inference system (PANFIS), is to this end presented...
  • FPROLOG

  • Referenced in 14 articles [sw18491]
  • give greater flexibility to the system, the fuzzy PROLOG interpreter can be linked with...
  • GridFlow

  • Referenced in 18 articles [sw08435]
  • existing performance prediction based task scheduling system. A fuzzy timing technique is applied to address...
  • ANCFIS

  • Referenced in 11 articles [sw34242]
  • concept. We present the adaptive neurocomplex-fuzzy-inferential system (ANCFIS), which is the first neurofuzzy ... system architecture to implement complex fuzzy rules (and, in particular, the signature property of rule ... interference). We have applied this neurofuzzy system to the domain of time-series forecasting, which ... This work demonstrates the utility of complex fuzzy logic on real-world problems...
  • PROBO

  • Referenced in 7 articles [sw23060]
  • PROBO: An interactive system in fuzzy linear programming. This paper presents the analysis and design ... interactive decision support system for fuzzy optimization problems, which allows intelligent decisions according ... depending on the associated model. This interactive system provides adaptation and training features by considering ... specific domain of fuzzy problem. The system is analyzed and their modules are shown...
  • FIRBS

  • Referenced in 6 articles [sw06572]
  • tabu list length using a fuzzy inference system: an application to examination timetabling We present ... using a decision expert system. More precisely a fuzzy inference rule based system (FIRBS...
  • NMEEF-SD

  • Referenced in 6 articles [sw38286]
  • rules of interest, and the evolutionary fuzzy system NMEEF-SD is based on the well...
  • GP-COACH

  • Referenced in 10 articles [sw09137]
  • learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems ... learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems ... obtaining of a compact set of fuzzy rules. The results obtained have been validated...