• ANFIS

  • Referenced in 274 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...
  • 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 ... inference system (DENFIS), for adaptive online and offline learning, and their application for dynamic time ... DENFIS is calculated through a fuzzy inference system based on m-most activated fuzzy rules...
  • Fuzzy Logic Toolbox

  • Referenced in 58 articles [sw07379]
  • through the steps of designing fuzzy inference systems. Functions are provided for many common methods ... then implement these rules in a fuzzy inference system ... fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model...
  • HyFIS

  • Referenced in 13 articles [sw24184]
  • HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. This paper ... neuro-fuzzy system, HyFIS (Hybrid neural Fuzzy Inference System), for building and optimising fuzzy models...
  • 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...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • SparseFIS: Data-Driven Learning of Fuzzy Systems With Sparsity Constraints. n this paper, we deal ... novel data-driven learning method [sparse fuzzy inference systems (SparseFIS)] for Takagi-Sugeno...
  • PANFIS

  • Referenced in 8 articles [sw13735]
  • 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 ... scratch with an empty rule base. The fuzzy rules can be stitched up and expelled...
  • FIRBS

  • Referenced in 6 articles [sw06572]
  • tabu list length using a fuzzy inference system: an application to examination timetabling We present ... expert system. More precisely a fuzzy inference rule based system (FIRBS) is implemented to handle...
  • FRI

  • Referenced in 9 articles [sw07389]
  • toolbox. Fuzzy systems use fuzzy rule base to make inference. A fuzzy rule base ... usage of fuzzy inference mechanisms for sparse fuzzy rule base systems. Basically, FRI techniques perform...
  • FRIL

  • Referenced in 44 articles [sw18490]
  • inference to permit the inclusion of uncertainties such as probabilistic knowledge and fuzzy incompleteness. Describes ... knowledge engineering including expert and decision-support systems, evidential and case-based reasoning, fuzzy control...
  • frbs

  • Referenced in 1 article [sw24181]
  • learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with classification and regression ... FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which ... life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing ... robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling...
  • BotDigger

  • Referenced in 1 article [sw21752]
  • BotDigger: A Fuzzy Inference System for Botnet Detection. This paper proposes BotDigger, a fuzzy logic...
  • CSR

  • Referenced in 1 article [sw30446]
  • optimized by Adaptive-Network-based Fuzzy Inference System (ANFIS) to obtain a sufficient thrust force...
  • SimCOVID

  • Referenced in 1 article [sw37642]
  • addition, an adaptive neuro-fuzzy inference system is employed and proposed to train the model...
  • KERNEL

  • Referenced in 2 articles [sw02454]
  • Matlab environment for its implementation. The KERNEL system belongs to the novel approach which concerns ... structure of the fuzzy inference model on which the KERNEL system is based. A well...
  • RSPOP

  • Referenced in 8 articles [sw02562]
  • identification algorithm. System modeling with neuro-fuzzy systems involves two contradictory requirements: interpretability verses accuracy ... fuzzy neural networks (POPFNN) suffered from an exponential increase in the number of identified fuzzy ... interpretability of the POPFNN in linguistic fuzzy modeling. This article proposes a novel rough ... complexity, improves the interpretability of neuro-fuzzy systems by identifying significantly fewer fuzzy rules...
  • FuzzyCLIPS

  • Referenced in 6 articles [sw07001]
  • CLIPS (C Language Integrated Production System) expert system shell from NASA. It was developed ... CLIPS facts and inference engine allowing one to represent and manipulate fuzzy facts and rules ... deal with exact, fuzzy (or inexact), and combined reasoning, allowing fuzzy and normal terms ... rules and facts of an expert system. The system uses two basic inexact concepts, fuzziness...
  • FLIP++

  • Referenced in 1 article [sw30988]
  • processor library. FLIP++ is a fuzzy logic inference processor library. This C++ library was developed ... functions, and second a crisp value for fuzzy control. The library also contains the whole ... purpose of fuzzy computations, in other systems...
  • CWJess

  • Referenced in 0 articles [sw19599]
  • CWJess: Implementation of an expert system shell for Computing with Words. Computing with Words ... resulting inference shell significantly enhances the expressiveness and reasoning power of fuzzy expert systems...
  • ICOT

  • Referenced in 3 articles [sw00432]
  • major drawback of current rule-based expert system languages is that they have difficulty ... handling composite objects as a unit of inference. An object-oriented model is a powerful ... also need to support manipulation of fuzzy knowledge to model the real world as close...