Search results for "fuzzy"
showing 10 items of 747 documents
Weakly algebraizable logics
2000
AbstractIn the paper we study the class of weakly algebraizable logics, characterized by the monotonicity and injectivity of the Leibniz operator on the theories of the logic. This class forms a new level in the non-linear hierarchy of protoalgebraic logics.
Conditional measures and their applications to fuzzy sets
1991
Abstract Given a ⊥-decomposable measure with respect to a continuous t-conorm, as introduced by the author in an earlier paper (see Section 1), we can construct ⊥-conditional measures as implications. These fulfil a ‘generalized product law’ replacing the product in the classical law by any other strict t-norm ⊥ and turn out to be decomposable with respect to an operation ⊥ V depending on ⊥, ⊥ and the condition set V (Section 2). More general, conditional measures are introduced axiomatically and are shown to be ⊥-conditional measures with respect to some ⊥-decomposable measure (Section 3). ‘Bayesian-like’ models are given which are alternatives to that presented by the author in a recent p…
Applicazione del metodo Failure Mode, Effects and Criticality Analysis (FMECA) in Tomoterapia: confronto tra approccio classico e metodologia fuzzy
2021
Le analisi di incidenti nel settore radioterapico hanno evidenziato ed evidenziano la necessità di incrementare le misure di garanzia della qualità (QA) a partire dall’identificazione di guasti/errori considerati rari, ma con conseguenze molto severe. In questo ambito, l’applicazione della tecnica Failure Mode, Effects And Criticality Analysis (FMECA) per la classificazione di eventi critici ha riscontrato un grande interesse. Lo scopo del presente lavoro è la comparazione dei risultati ottenuti nell’applicazione di due diverse metodologie FMECA (classica e fuzzy) per la valutazione dei rischi su pazienti sottoposti a trattamenti eseguiti con tomoterapia elicoidale. Il confronto è stato eff…
Fuzziness, Philosophy, and Medicine
2013
In his Handbook of Analytic Philosophy of Medicine, a book that in our view is qualified to be the starting point of a new discourse in the fields of Theoretical Medicine and Philosophy of Medicine, Kazem Sadegh-Zadeh uses two scientific theories that are studied and regarded in many specific sectors of hard and human sciences but not globally well-known in Philosophy of Medicine: Fuzzy Set Theory and Structuralism. This opening contribution briefly discusses those approaches, and introduces the musing, ideas, counterpoints and contributions from many other authors, among them philosophers, logicians, mathematicians and researchers from different and competing disciplines, that constitute t…
On the Measure of Many-Level Fuzzy Rough Approximation for L-Fuzzy Sets
2019
We introduce a many-level version of L-fuzzy rough approximation operators and define measures of approximation obtained by such operators. In a certain sense, theses measures characterize the quality of the resulting approximation. We study properties of such measures and give a topological interpretation of the obtained results.
On spline methods of approximation under L-fuzzy information
2011
This work is closely related to our previous papers on algorithms of approximation under L-fuzzy information. In the classical theory of approximation central algorithms were worked out on the basis of usual, that is crisp splines. We describe central methods for solution of linear problems with balanced L-fuzzy information and develop the concept of L-fuzzy splines.
Agent-Oriented Captology for Anthropocentric Systems
2001
Abstract Considering that anthropo centric systems are an adequate domain for captological approaches, and that interface agents are most natural interactants for the humans involved, the paper presents a broad-spectrum generic architectural framework to support developing flexible interfaces for industrial applications, based on synergetic correlation between persuasive technologies and polymorphic agents. The design space for agent-oriented captology is defined and several of its main dimensions are elaborated upon. The main mechanisms used are dynamic priorities, "flexible cloning" and fuzzy temporal windows. Some agent-oriented test-bench applications instantiating the generic architect…
Direct adaptive tracking control for a class of pure-feedback stochastic nonlinear systems based on fuzzy-approximation
2014
Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/462468 Open Access The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. It is shown that the proposed controller guarantees that all the signals in the closed-loop system are bounded in probability and the tracking error eventually converges to a small neighborhood around …
Fuzzy C-Means Segmentation on Brain MR Slices Corrupted by RF-Inhomogeneity
2007
Brain MR Images corrupted by RF-Inhomogeneity exhibit brightness variations in such a way that a standard Fuzzy C-Means (fcm) segmentation algorithm fails. As a consequence, modified versions of the algorithm can be found in literature, which take into account the artifact. In this work we show that the application of a suitable pre-processing algorithm, already presented by the authors, followed by a standard fcm segmentation achieves good results also. The experimental results ones are compared with those obtained using SPM5, which can be considered the state of the art algorithm oriented to brain segmentation and bias removal.
On ordered categories as a framework for fuzzification of algebraic and topological structures
2009
Using the framework of ordered categories, the paper considers a generalization of the fuzzification machinery of algebraic structures introduced by Rosenfeld as well as provides a new approach to fuzzification of topological structures, which amounts to fuzzifying the underlying ''set'' of a structure in a suitably compatible way, leaving the structure itself crisp. The latter machinery allows the so-called ''double fuzzification'', i.e., a fuzzification of something that is already fuzzified.