Results 251 to 260 of about 9,682 (310)

ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT. [PDF]

Sensors (Basel)
Balhareth G, Ilyas M, Alkanjr B.
europepmc   +1 more source

Development of a novel integrated RSM-Fuzzy MCDA framework for high-speed machinability assessment of WAAM-Fabricated aluminium. [PDF]

Sci Rep
Sivam SPSS, Kesavan S, Santhosh AJ.
europepmc   +1 more source

An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation. [PDF]

Sci Rep
Geng C.
europepmc   +1 more source

GENERALIZED FUZZY LINGUISTIC CUBIC B-SPLINE CURVE MODEL FOR UNCERTAINTY FUZZY LINGUISTIC DATA [PDF]

Advances and Applications in Discrete Mathematics, 2020
Fuzzy linguistic data is difficult to analyze. It becomes a problem to describe the data in the form of smooth and continuous generic figure. Therefore, the generalization of the problems of linguistic data in the form of curves and surfaces requires a new model such as fuzzy linguistic B-spline by using fuzzy linguistic approach.
Mohd Syafiq Bidin, Abd. Fatah Wahab, Mohammad Izat Emir Zulkifly, Rozaimi Zakaria   +3 more
openaire   +5 more sources

A fuzzy flight controller combining linguistic and model-based fuzzy control [PDF]

Fuzzy Sets and Systems, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bourhane Kadmiry, Dimiter Driankov
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Some interesting properties of the fuzzy linguistic model based on discrete fuzzy numbers to manage hesitant fuzzy linguistic information

Applied Soft Computing Journal, 2015
Graphical abstractDisplay Omitted HighlightsProperties of the fuzzy linguistic model based on discrete fuzzy numbers are analysed.This model is used to handle hesitant fuzzy linguistic information.This model includes the hesitant fuzzy linguistic term sets model.Some advantages of the model based on discrete fuzzy numbers are pointed out.A fuzzy ...
Sebastiã Massanet, Juan Vicente Riera, Joan Torrens   +2 more
exaly   +2 more sources

A FUZZY LINGUISTIC IRS MODEL BASED ON A 2-TUPLE FUZZY LINGUISTIC APPROACH

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007
Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods.
Enrique Herrera-Viedma, Antonio Gabriel López-Herrera, María Luque, Carlos Porcel   +3 more
openaire   +1 more source

A method to invert a linguistic fuzzy model

International Journal of Systems Science, 1998
A method is proposed to compute an exact inversion of a linguistic multiple-input single-output fuzzy model with triangular pairwise overlapping membership functions and the weighted fuzzy mean defuzzification. Equations are given which describe the parameters of the inverse model as a function of the parameters of the forward model. The inverse, model
Péter Baranyi, I. M. Bavelaar, Robert Babuska, László T. Kóczy, André Titli, Henk B. Verbruggen   +5 more
openaire   +1 more source