Search results for " fuzzy"

Stability and Noises Evaluation of Fuzzy Kalman UAV Navigation System.

2009

In this paper a new Fuzzy/Kalman navigation system for Unmanned Aerial Vehicles (UAV) is presented. A closed loop velocity Fuzzy navigation system is proposed for stabilizing the UAV in a reference trajectory generated dynamically and for obtaining a forward velocity command. The Kalman's filter (KF) is included in the feedback line of the fuzzy control system to filter the internal noise of the sensors and to evaluate the external noise due to possible perturbations of the nominal motion. The efficiency of the navigation system has been shown through experimental tests in a Matlab environment.

ANALISI DI RISCHIO DELL’IMPIANTO SPERIMENTALE “SELECTIVE PRODUCTION OF EXOTIC SPECIES” (SPES) DELL’INFN DI LEGNARO

Il progetto di ricerca denominato EURISOL (European Isotope Separation On-Line Radioactive Ion Beam Facility), che vede coinvolti i principali laboratori di ricerca nucleari europei, è rivolto allo studio di progettazione e fattibilità di un impianto per la produzione di fasci di nuclei radioattivi posizionati nella cosiddetta “terra incognita” della carta dei nuclidi. Lo scopo principale è l’esplorazione della materia esotica (nuclei caratterizzati da un eccesso difetto di neutroni), con le sue possibili implicazioni nell’ambito della ricerca di base della fisica nucleare, nelle applicazioni in campo medico e dell’astrofisica, e ancora nello studio dei materiali utilizzati nei reattori nuc…

Trattamento dell'incertezza epistemica nell'analisi affidabilistica

FUZZINESS: the emergence of a new scientific concept

2011

Kazem Sadegh-Zadeh's lifework on philosophy of medicine

2013

Representation of knowledge using Fuzzy set theory

1989

A fuzzy framework to explain musical tuning in practice

2013

A theoretical tuning system is a set of pitches that can be used to play music. It is a fact that the human ear perceives notes with very close frequencies as if they were the same note. Therefore, in our approach a musical note and its pitch sensation are modeled as L-R fuzzy numbers with a modal interval and a bounded support. We pay particular attention to the 12-tone equal temperament (12-TET) for being the most widely used tuning system and we define the fuzzy 12-TET composed of 12 fuzzy notes. A similarity relation between a fuzzy note and a theoretical note can be defined, and subsequently a similarity class associated to each one of the fuzzy notes in the fuzzy 12-TET arises. Finall…

A genetic integrated fuzzy classifier

2005

This paper introduces a new classifier, that is based on fuzzy-integration schemes controlled by a genetic optimisation procedure. Two different types of integration are proposed here, and are validated by experiments on real data sets of biological cells. The performance of our classifier is tested against a feed-forward neural network and a Support Vector Machine. Results show the good performance and robustness of the integrated classifier strategies.

Fuzzy Classifier Based on Fuzzy Decision Tree

2007

A popular method for making a fuzzy decision tree for classification is Fuzzy ID3 algorithm. We introduce a new approach that uses cumulative information estimations of initial data. Based on these estimations we propose a new greedy version of fuzzy ID3 algorithm to be used to generate understandable fuzzy classification rules. The goal is to find a sequence of rules that causes near minimal classification costs.

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering

2022

Abstract Multiparametric Magnetic Resonance Imaging (MRI) is the most sensitive imaging modality for breast cancer detection and is increasingly playing a key role in lesion characterization. In this context, accurate and reliable quantification of the shape and extent of breast cancer is crucial in clinical research environments. Since conventional lesion delineation procedures are still mostly manual, automated segmentation approaches can improve this time-consuming and operator-dependent task by annotating the regions of interest in a reproducible manner. In this work, a semi-automated and interactive approach based on the spatial Fuzzy C-Means (sFCM) algorithm is proposed, used to segme…