Search results for "Fuzzy measure"

showing 8 items of 8 documents

Decomposable Measures and Measures of Information for Crisp and Fuzzy Sets

1983

Abstract There exist bijections between the decomposable informations of Kampe de Feriet and Forte (1967a) and the decomposable measures of Weber (1982). Using integrals for Archimedean decomposable operations, introduced by Weber (1982), informations and measures of this type are extended from crisp to fuzzy sets. For ∨-decomposable measures, Sugeno’s (1974) integral is used. For ∧-decomposable informations, Nguyen’s (1977) construction and a modification are discussed.

Discrete mathematicsFuzzy measure theoryFuzzy setType (model theory)Bijection injection and surjectionMathematicsIFAC Proceedings Volumes
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On a multiplication and a theory of integration for belief and plausibility functions

1987

Abstract Belief and plausibility functions have been introduced as generalizations of probability measures, which abandon the axiom of additivity. It turns out that elementwise multiplication is a binary operation on the set of belief functions. If the set functions of the type considered here are defined on a locally compact and separable space X , a theorem by Choquet ensures that they can be represented by a probability measure on the space containing the closed subsets of X , the so-called basic probability assignment. This is basic for defining two new types of integrals. One of them may be used to measure the degree of non-additivity of the belief or plausibility function. The other o…

Discrete mathematicsPure mathematicsFuzzy measure theoryApplied MathematicsLebesgue integrationMeasure (mathematics)symbols.namesakeChoquet integralSet functionBinary operationsymbolsLocally compact spaceAnalysisMathematicsProbability measureJournal of Mathematical Analysis and Applications
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Fuzzy methods for analysing fuzzy production environment

1998

Abstract Very recently, in production management research literature, the necessity to extend production systems analysis techniques, such as queue theory, Mean Value Analysis (MVA) and discrete simulation, to Fuzzy Production Environments, i.e. to those production situations in which data are vague, has emerged. Fuzzy set theory is a powerful tool to model vagueness and, therefore, fuzzy mathematics can be used to extend classical production system analysis techniques. This paper proposes a methodology based on fuzzy relation algebra to extend classical MVA and discrete event simulation.

Fuzzy classificationFuzzy measure theorybusiness.industryGeneral MathematicsFuzzy setcomputer.software_genreDefuzzificationFuzzy logicIndustrial and Manufacturing EngineeringComputer Science ApplicationsControl and Systems EngineeringFuzzy mathematicsFuzzy set operationsFuzzy numberArtificial intelligenceData miningbusinesscomputerSoftwareMathematicsRobotics and Computer-Integrated Manufacturing
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A theory of spatial general equilibrium in a fuzzy economy

1984

Let an economic space be characterized by the existence of a given distribution of locations, i.e. consumers' residential locations and producers' plants. It is equipped with a system of prices. The economy is fuzzy because the economic behaviors of agents are imprecise. In this context, spatial partial equilibria theories are applications of a fuzzy economic calculation model. The aim of the present paper is to study the conditions which must be fulfilled in order that the compatibility of consumers' equilibria and producers' equilibria be verified. Mathematical tools are Butnariu's theorems which extend the Brouwer's and Kakutani's theorems to the cases of fuzzy functions and fuzzy point-…

Fuzzy setsFuzzy measure theoryGeneral equilibrium theoryMathematical economicsFuzzy setSpace (commercial competition)Competitive equilibrium[SHS.ECO]Humanities and Social Sciences/Economics and FinanceFuzzy logicEconomic spaceGeneral equilibriumFuzzy number[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceRelation (history of concept)Mathematical economicsMathematics
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A Few Remarks on the Roots of Fuzziness Measures

2012

In the forty years from the introduction of Fuzzy Entropy, fuzziness measures has been employed in many different fields pertaining both hard and soft sciences, from medicine to art, from engineering to linguistics. If we look back at the road traveled, we can safely state that on of the main reasons for this enduring presence, and maybe the most underrated, is the truly uniqueness of the concept of fuzziness. Far from a reminiscence, this consideration is more of a projection on the future of fuzziness: we strongly believe that the innovation implicit in the concept, while having sometime hindered in the past its perception as a powerful paradigm and tool for the hard science community, wi…

Hard and soft scienceFuzzy entropyFuzziness Fuzzy MeasuresSettore INF/01 - InformaticaComputer scienceManagement sciencePerceptionmedia_common.quotation_subjectReminiscenceFuzzy setProjection (set theory)Fuzzy logicmedia_common
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Fuzzy expected utility

1984

Decision making under uncertainty requires not only measures of the uncertainty of situations that we try to recognize , but also an estimate of the imprecision from which they are determined. This imprecision can be the result either of a lack of exactness in the measure of the elements which are necessary to the determination of the states of nature or the purely subjective interpretation of these states. Through a subjective measure of the non-measurable imprecision, the purpose of the fuzzy expected utility, which is investigated, is to translate with a great accuracy the imprecise behaviour of the decision-maker in an uncertain world. Consequently we propose to introduce first the prob…

Mathematical optimizationFuzzy classificationFuzzy measure theoryLogicbusiness.industry[SHS.ECO]Humanities and Social Sciences/Economics and FinanceType-2 fuzzy sets and systemsFuzzy logicDefuzzificationArtificial IntelligenceFuzzy mathematicsFuzzy numberFuzzy set operations[ SHS.ECO ] Humanities and Social Sciences/Economies and financesArtificial intelligencebusiness[SHS.ECO] Humanities and Social Sciences/Economics and FinanceDecision makingFuzzyMathematics
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A Combined Fuzzy Semantic Similarity Measure In Owl Ontologies

2008

An algorithm is presented in this paper to calculate a semantic similarity measure inside an OWL ontology. The formulation is based on a combined measure taking into account the two most important aspects involved in the similarity computation. These are the structural properties of a concept, and the information content inside the ontology. We define a fuzzy system to blend these information sources with a training process over some ontologies. Finding a similarity measure between concepts of an ontology is a fundamental topic to accomplish information exchange on the Web. Through this measure it is possible to perform sophisticated queries over the web where the user is able to request co…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniOWL ontologieFuzzy measureSemantic similarity measureSemantic Web
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Valutazione multicriteriale del saggio di capitalizzazione per la revisione del catasto degli immobili urbani - Capitalization rate multidimensional …

2013

The new revision of the land register is intended to give each real estate unit an assessed value which approximates the market value. The provided approach has statistical nature. However, in the absence of a well-established market, the coming reform requires the use of the indirect estimation procedure.This paper proposes a method for estimating the capitalization rate that could usefully be applied in mass appraisal. The proposed model for the evaluation of the capitalization rate is intended as an alternative to traditional inferential processes that apply in real estate market. It can be used even in market segments that are not enough active and does not require the use of technical …

multicriteria evaluation modelcapitalization rateUTA and fuzzy measures approacheSettore ICAR/22 - Estimospeculative financial model.
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