Search results for " fuzzy"

showing 10 items of 209 documents

Verso le Città Cognitive. Un esempio di classificatore fuzzy: il bot parcheggiatore

Le città cognitive (Portmann, Seising e Tabacchi, 2017) sono una possibile evoluzione delle smart cities (Portmann e Fingers, 2016). Nella progettazione di una città cognitiva si tiene conto, oltre che della rete di sensori ed attuatori che contribuiscono alla condivisione dei dati, anche del rapporto tra la città ed il cittadino; a questo fine sono utilizzate una serie di tecnologie proprie della Computational Intelligence (Kacprzyk e Pedrycz, 2015), quali Metaeuristiche, Algoritmi evolutivi e genetici e metodologie Soft Computing per includere nel dialogo non solo vaste moli di dati, ma la possibilità di analisi introspettive che utilizzino come interfaccia da e verso gli utenti i linguag…

Settore INF/01 - InformaticaClassificatory Fuzzy Bot Logica Fuzzy
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The Webbed Emergence of Fuzzy Sets and Computer Science Education from Electrical Engineering

2013

Historically, Computer science emerged from electrical engineering and from mathematics in the 1960s. From the content of some unpublished documents and also some rather less-well-known papers by Lotfi A. Zadeh it is argued that the emergences of Computer science and Fuzzy Set Theory have been interlinked. Zadeh’s task as Chair of the Electrical Engineering Department in Berkeley in the 1960s, his activities in Education of Engineering and his creation of the theory of Fuzzy sets generated his view on the scientific discipline of Com- puter science as a fuzzy set. This view could establish a new approach to history and philosophy of science.

Settore INF/01 - InformaticaComputer sciencebusiness.industryFuzzy setArtificial intelligencebusinessElectrical engineering Fuzzy sets
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An analysis System based on Morphological Fuzzy Filters: Application to the study of Marine Pollution Due to Hydrocarbons

2010

Settore INF/01 - InformaticaMArine PollutionMorphological Fuzzy Filter
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Teoria dei Concetti e Teoria degli Insiemi Fuzzy

Nel presente articolo, redatto in forma di position paper, si intende sottoli- neare una serie di possibili sviluppi futuri di questa relazione, ed evidenziare come alcuni degli ostacoli alla definizione di una ToC che rifletta la ricchez- za e la creatività dell‘uso dei concetti nella comunicazione umana possano essere affrontati con l‘aiuto della FST.

Settore INF/01 - InformaticaSettore M-FIL/02 - Logica E Filosofia Della ScienzaTeoria dei Concetti Logica Fuzzy
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Reflections on Technology and Human Sciences: rediscovering a common thread through the analysis of a few epistemological features of fuzziness

2013

A number of reasons, both historical and philosophical, has caused Technology and Human Sciences to be perceived as disjoint domains. In opposi- tion, we claim that there exists a strong methodological affinity between these apparently disconnected fields of knowledge. Our view is further corroborated by new hints from Information Sciences, in which new scientific concepts and tools such as fuzziness have emerged. Comparing the ways in which both Technology and Literature offer a model of reality we shall see that their approaches preserve a strong connection with the “description” of the pieces of reality they aim to model, against the Galileian hard sciences’ approach of making bold hypot…

Settore INF/01 - InformaticaSoft Computing Hard Sciences Fuzzy Set TheorySettore M-FIL/02 - Logica E Filosofia Della Scienza
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On the Evaluation of Images Complexity: A Fuzzy Approach (revised and expanded)

2006

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer sci- ence and cognitive psychology. Computer scientists usually analyze spa- tial dimensions, to deal with automatic vision problems, such as feature- extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an exp…

Settore INF/01 - InformaticaSoft Computing Image Processing Fuzzy sets image analysis complexity entropy mental clock internal clock
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Ensemble flou

2009

Settore INF/01 - Informaticainsieme flou fuzzy set
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Insieme fuzzy

2009

Settore INF/01 - Informaticainsieme fuzzy
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FMECA Analyses of radiological over-exposure accident to patients in brachytherapy

2012

This paper presents safety analyses of accidental events which can involve patient during High Dose Rate brachytherapy treatment in over-exposures. The study has been performed by using the well-known techniques FMECA modified by Fuzzy logic theory. Moreover, fuzzy HEART methodology was employed in order to evaluate human error probabilities for each treatment stage. The obtained results, aimed to obtain a list of the deviations with a reasonable probability to produce significant adverse outcomes, provided some recommendations for procedures and safety equipments to reduce the occurrence of radiological over-exposure accidents.

Settore ING-IND/20 - Misure E Strumentazione NucleariSettore ING-IND/19 - Impianti NucleariHigh Dose Rate radiation therapy radiological risk FMECA fuzzy RPN
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Adaptive type-2 fuzzy control of non-linear systems

2009

The paper describes the development of two different type-2 adaptive fuzzy logic controllers and their use for the control of a non linear system that is characterized by the presence of bifurcations and parameter uncertainty. Although a type-2 fuzzy logic controller is able to handle the non linearities and the uncertainties present in a system, its robustness and effectiveness can be increased by the use of an opportune adaptive algorithm. A simulation study was conducted to compare the behavior of adaptive controllers with that of simple type-1 and type-2 fuzzy logic controllers. The system to be controlled, used for the simulation, is a continuous bioreactor for the treatment of mixed w…

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive neuro fuzzy inference systemAdaptive controlAdaptive algorithmUncertaintyFuzzy control systemFuzzy logicType-2 fuzzy logic controlControl theoryNon linear systems Adaptive control.Control systemRobust controlEnergy sourceMathematics2009 IEEE International Conference on Intelligent Computing and Intelligent Systems
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