Results 31 to 40 of about 765,979 (297)

Crisp set tuning of membership functions in fuzzy logic inference systems by probability density functions.

Zanco Journal of Pure and Applied Sciences, 2019
Determination of threshold values of membership functions is one of the key stages in design of a fuzzy logic inference system. This paper presents a statistical-based method using probability density functions to simplify the construction of membership ...
Farshid Yari, Kaveh Mollazade, Jalal Khodaei   +2 more
doaj   +1 more source

Frequency domain criteria for lp-robust stability of systems with fuzzy parameters [PDF]

, 2010
The paper deals with the problem of determining stability margin of linear continuous-time system with fuzzy parametric uncertainty. Non-symmetric multivariate membership functions with lp -constraints describing the uncertainty of characteristic ...
Lan, L. H., Zhang, H.
core   +1 more source

Multi-objective optimization to the transportation problem considering non-linear fuzzy membership functions

AIMS Mathematics, 2023
Considering the uncertainty of transporting goods from numerous origins to diverse destinations is a critical task for the decision-maker (DM).
Md. Musa Miah, Ali AlArjani, Abdur Rashid, Aminur Rahman Khan, Md. Sharif Uddin, El-Awady Attia   +5 more
doaj   +1 more source

Investigation of the influence of the symmetry of membership functions in the fuzzy controller on the quality of MPPT regulation in the photovoltaic system

MATEC Web of Conferences, 2017
The paper presents the results of the investigation of the influence of asymmetric membership functions in a fuzzy controller on the quality of MPPT regulation in the photovoltaic system.
Gimazov Ruslan, Shidlovskiy Stanislav
doaj   +1 more source

Multi-Objective Reliability Optimization using Fuzzy Nonlinear Programming with Interval Membership Functions and Bias Functions: A Comparison of Particle Swarm Optimization and Genetic Algorithm

Wasit Journal for Pure Sciences, 2023
Multi-objective reliability optimization is a complex problem that involves simultaneously optimizing multiple objectives while ensuring that the system meets certain reliability requirements.
Ahmed Abdulhussein Jabbar, Audi Sabri Abd ALRazaq   +1 more
doaj   +1 more source

Fuzzy sets in nonparametric Bayes regression

, 2008
A simple Bayesian approach to nonparametric regression is described using fuzzy sets and membership functions. Membership functions are interpreted as likelihood functions for the unknown regression function, so that with the help of a reference prior ...
Angers, Jean-François, Delampady, Mohan
core   +1 more source

Temporal fuzzy association rule mining with 2-tuple linguistic representation [PDF]

, 2012
This paper reports on an approach that contributes towards the problem of discovering fuzzy association rules that exhibit a temporal pattern. The novel application of the 2-tuple linguistic representation identifies fuzzy association rules in a temporal
Ahmadi, Samad, Gongora, Mario A., Hopgood, Adrian A., Matthews, Stephen G.   +3 more
core   +3 more sources

PSO vs GA: A Comparative Study of Multi-Objective Reliability Optimization using Fuzzy Nonlinear Programming Functions

Wasit Journal for Pure Sciences, 2023
— Multi-objective reliability optimization is a complex problem that involves simultaneously optimizing multiple objectives while ensuring that the system meets certain reliability requirements.
Ahmed Abdulhussein Jabbar, Audi Sabri Abd ALRazaq   +1 more
doaj   +1 more source

Subthreshold membership function circuit

Electronics Letters, 1998
A new subthreshold fuzzy logic membership function circuit is proposed which consumes only a small fraction of the current required by our previous design. This lower power consumption will enable the implementation of a modular architecture without incurring prohibitive power consumption penalties.
S. Collins, G.F. Marshall
openaire   +1 more source

Functional Mixed Membership Models

Journal of Computational and Graphical Statistics
Mixed membership models, or partial membership models, are a flexible unsupervised learning method that allows each observation to belong to multiple clusters. In this paper, we propose a Bayesian mixed membership model for functional data. By using the multivariate Karhunen-Loève theorem, we are able to derive a scalable representation of Gaussian ...
Marco, Nicholas, Şentürk, Damla, Jeste, Shafali, DiStefano, Charlotte, Dickinson, Abigail, Telesca, Donatello   +5 more
openaire   +3 more sources