
ANFIS
 Referenced in 274 articles
[sw08730]
 ANFIS: adaptivenetworkbased fuzzy inference system. The architecture and learning procedure underlying ANFIS (adaptive ... networkbased fuzzy inference system) is presented, which is a fuzzy inference system implemented ... both human knowledge (in the form of fuzzy ifthen rules) and stipulated inputoutput...

DENFIS
 Referenced in 57 articles
[sw24183]
 DENFIS: dynamic evolving neuralfuzzy inference system and its application for timeseries prediction. This ... paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving neuralfuzzy ... 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 mmost 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 neurofuzzy inference systems and their application to nonlinear dynamical systems. This paper ... neurofuzzy 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: DataDriven Learning of Fuzzy Systems With Sparsity Constraints. n this paper, we deal ... novel datadriven learning method [sparse fuzzy inference systems (SparseFIS)] for TakagiSugeno...

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 decisionsupport systems, evidential and casebased reasoning, fuzzy control...

frbs
 Referenced in 1 article
[sw24181]
 learning algorithms based on fuzzy rulebased 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 AdaptiveNetworkbased Fuzzy Inference System (ANFIS) to obtain a sufficient thrust force...

SimCOVID
 Referenced in 1 article
[sw37642]
 addition, an adaptive neurofuzzy 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 neurofuzzy 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 neurofuzzy 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 rulebased expert system languages is that they have difficulty ... handling composite objects as a unit of inference. An objectoriented model is a powerful ... also need to support manipulation of fuzzy knowledge to model the real world as close...