Search results for "Fuzzy set"

showing 10 items of 197 documents

Type-2 Fuzzy Control of a Bioreactor

2009

Abstract—In this paper the control of a bioprocess using an adaptive type-2 fuzzy logic controller is proposed. The process is concerned with the aerobic alcoholic fermentation for the growth of Saccharomyces Cerevisiae a n d i s characterized by nonlinearity and parameter uncertainty. Three type-2 fuzzy controllers heve been developed and tested by simulation: a simple type-2 fuzzy logic controller with 49 rules; a type-2 fuzzyneuro- predictive controller (T2FNPC); a t y p e -2 selftuning fuzzy controller ( T2STFC). The T2FNPC combines the capability of the type-2 fuzzy logic to handle uncertainties, with the ability of predictive control to predict future plant performance making use of a…

Adaptive neuro fuzzy inference systemSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciAdaptive controlArtificial neural networkNeuro-fuzzyComputer scienceFuzzy setFuzzy control systemEthanol fermentationFuzzy logicDefuzzificationNonlinear systemModel predictive controlControl theoryAdaptive systemAdaptive control Type-2 fuzzy control Non-linear systems UncertaintyProcess controlRobust control
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Adaptive frequency decomposition of EEG with subsequent expert system analysis.

2001

We present a hybrid system for automatic analysis of clinical routine EEG, comprising a spectral analysis and an expert system. EEG raw data are transformed into the time-frequency domain by the so-called adaptive frequency decomposition. The resulting frequency components are converted into pseudo-linguistic facts via fuzzification. Finally, an expert system applies symbolic rules formulated by the neurologist to evaluate the extracted EEG features. The system detects artefacts, describes alpha rhythm by frequency, amplitude, and stability and after artefact rejection detects pathologic slow activity. All results are displayed as linguistic terms, numerical values and maps of temporal exte…

AdultBiometryAdolescentComputer scienceFuzzy setStability (learning theory)Health InformaticsExpert SystemsElectroencephalographycomputer.software_genreFuzzy logicFuzzy LogicmedicineHumansSensitivity (control systems)Diagnosis Computer-AssistedTheta RhythmAgedAged 80 and overSignal processingBrain Diseasesmedicine.diagnostic_testbusiness.industryPattern recognitionElectroencephalographyMiddle AgedExpert systemComputer Science ApplicationsAlpha RhythmDelta RhythmHybrid systemArtificial intelligencebusinesscomputerAlgorithmComputers in biology and medicine
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Benchmarking of airports service quality by a new fuzzy MCDM approach

2015

Recent approaches to the service quality evaluation problem are focused on the employment of multi-criteria decisionmaking (MCDM) procedures, since processes related to service quality evaluation presentmeaningful communality elements to MCDM ones. Based on such assumption, in the present paper a new fuzzy MCDMapproach is developed tocomparatively evaluate passenger service quality of the international airports inSicily (Italy). In particular, by incorporating the respondents confidence level and degree of optimism on fuzzy assessments, quality scores of main airport service criteria are estimated, whereas ELECTRE multi criteria decision support methodis proposed to point out theservices qu…

Airport service quality structureFuzzy Sets TheoryPassenger satisfactionELECTRE III methodAirport services qualitySettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
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Bornological structures on many-valued sets

2017

Algebra010201 computation theory & mathematicsGeneral Mathematics010102 general mathematicsQuantaleFuzzy set0102 computer and information sciences0101 mathematics01 natural sciencesMathematicsRad Hrvatske akademije znanosti i umjetnosti Matematičke znanosti
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Conditioning on MV-algebras and additive measures —I

1997

Abstract We present a lattice-ordered semigroup approach for the foundation of conditional events which covers the special situations where the underlying (unconditional) events are Boolean or fuzzy, respectively. Our proposal is quite different from other, ring theoretical, approaches. The problem of extending additivity of uncertainty measures from unconditional to conditional events will be discussed.

AlgebraArtificial IntelligenceLogicTwo-element Boolean algebraFuzzy setFuzzy numberBoolean expressionStone's representation theorem for Boolean algebrasBoolean algebras canonically definedComplete Boolean algebraFuzzy logicMathematicsFuzzy Sets and Systems
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Upper and lower generalized factoraggregations based on fuzzy equivalence relation

2014

We develop the concept of a general factoraggre-gation operator introduced by the authors on the basis of an equivalence relation and applied in two recent papers for analysis of bilevel linear programming solving parameters. In the paper this concept is generalized by using a fuzzy equivalence relation instead of the crisp one. By using a left-continuous t-norm and its residuum we define and investigate two modifications of such generalized construction: upper and lower generalized factoraggregations. These generalized factoraggregations can be used for construction of extensional fuzzy sets.

AlgebraDiscrete mathematicsFuzzy classificationFuzzy setEquivalence relationFuzzy numberGeneralized linear array modelFuzzy set operationsFuzzy subalgebraDefuzzificationMathematics2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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On Extensional Fuzzy Sets Generated by Factoraggregation

2014

We develop the concept of a general factoraggregation operator introduced by the authors on the basis of an equivalence relation and applied in two recent papers for analysis of bilevel linear programming solving parameters. In the paper this concept is generalized by using a fuzzy equivalence relation instead of the crisp one. We show how the generalized factoraggregation can be used for construction of extensional fuzzy sets and consider approximations of arbitrary fuzzy sets by extensional ones.

AlgebraOperator (computer programming)Basis (linear algebra)Approximations of πFuzzy setEquivalence relationBilevel linear programmingExtensional definitionFuzzy equivalence relationMathematics
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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…

AlgebraSet (abstract data type)Artificial IntelligenceLogicSection (archaeology)Product (mathematics)Fuzzy setCalculusInformation measureConstruct (python library)Bayesian inferenceMeasure (mathematics)MathematicsFuzzy Sets and Systems
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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…

Analytic philosophyStructuralism (philosophy of science)Philosophy of medicineFuzzy setHuman scienceSociologyScientific theoryEpistemology
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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.

Approximation operatorsFuzzy setApplied mathematicsFuzzy logicMeasure (mathematics)MathematicsInterpretation (model theory)
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