Results 51 to 60 of about 606,237 (294)
Expert supervision of an anti-skid control system of a commercial aircraft [PDF]
A rule-based supervising system that incorporates fuzzy logic has been designed to back-up a conventional anti-skid braking system (ABS). Expressing the expert knowledge about the ABS in terms of linguistic rules, the supervising fuzzy system adapts the ...
Bordeneuve-Guibé, Joël +3 more
core
Controlled Fuzzy Parallel Rewriting [PDF]
We study a Lindenmayer-like parallel rewriting system to model the growth of filaments (arrays of cells) in which developmental errors may occur. In essence this model is the fuzzy analogue of the derivation-controlled iteration grammar.
Asveld, Peter R.J.
core +4 more sources
Fuzziness in Information Systems
AbstractThis paper considers an approach to approximation of sets assuming fuzzy description of information systems. The notions of lower and upper approximation of fuzzy sets are analysed. Modified definitions of approximations are proposed by extending the concept of variable precision rough sets on fuzzy sets.
Alicja Mieszkowicz-Rolka, Leszek Rolka
openaire +1 more source
Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman +4 more
wiley +1 more source
Pemodelan Sistem Fuzzy Dengan Menggunakan Matlab
Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and ...
Afan Galih Salman
doaj +1 more source
Observability and Decentralized Control of Fuzzy Discrete Event Systems [PDF]
Fuzzy discrete event systems as a generalization of (crisp) discrete event systems have been introduced in order that it is possible to effectively represent uncertainty, imprecision, and vagueness arising from the dynamic of systems.
Cao, Yongzhi, Ying, Mingsheng
core +1 more source
On the Approximation of Fuzzy System [PDF]
The choice of fuzzy set function affects how well the fuzzy systems approximate an unknown function. We first examine several popular fuzzy systems, based on which we generalize the error of the fuzzy system by the mathematical functional. Two classes of extended fuzzy systems with special set function are proposed respectively in one-dimensional and ...
Shihong Yue +3 more
openaire +2 more sources
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
In this paper, a stochastic configuration based fuzzy inference system with interpretable fuzzy rules (SCFS-IFRs) is proposed to improve the interpretability and performance of the fuzzy inference system and determine autonomously an appropriate model ...
Wei Zhou, Hongxing Li, Menghong Bao
doaj +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source

