Search results for "Fuzzy sets"

showing 10 items of 43 documents

Strategic analysis of transit service quality using fuzzy AHP methodology

2013

Customer satisfaction analyses are deeply based on customers' judgments and as consequence, they can be characterized by a certain degree of uncertainty generally ascribed to coexistence of three relevant aspects: vagueness, imprecision and subjectivity. In the present paper, a methodology able to handle such uncertainty, based on the ServQual discrepancy paradigm and that uses in combined manner the AHP method and the Fuzzy Sets Theory is proposed in order to overcome limitations of the traditional service evaluation approaches. Subsequently, by considering the Italian public transit service sector, a service quality analysis is conducted and the overall transit service quality structure i…

AHP MethodServQual ModelTransit Service QualityFuzzy Sets TheoryUncertainty ManagementSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneCustomer Satisfaction Evaluation
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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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A very brief history of soft computing: Fuzzy Sets, artificial Neural Networks and Evolutionary Computation

2013

This paper gives a brief presentation of history of Soft Computing considered as a mix of three scientific disciplines that arose in the mid of the 20th century: Fuzzy Sets and Systems, Neural Networks, and Evolutionary Computation. The paper shows the genesis and the historical development of the three disciplines and also their meeting in a coalition in the 1990s.

Artificial developmentSoft computingTheoretical computer scienceNeuro-fuzzySettore INF/01 - InformaticaComputer scienceNatural computingbusiness.industryComputational intelligenceFuzzy Sets Theory FuzzinessEvolutionary acquisition of neural topologiesHuman-based evolutionary computationComputingMethodologies_GENERALArtificial intelligencebusinessIntelligent control
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Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate cha…

2021

Abstract Facing global climate change challenges entails a sustainable development of transportation. Governments and automobile manufacturers are highly aware of how a large-scale deployment of Electric Vehicles (EVs) can reduce greenhouse gas (GHG) emissions and mitigate global warming. This study aids the design of the adaptation strategies of the automotive industry to meet global goals on climate change by means of a fuzzy-set qualitative comparative analysis (fsQCA), which makes it possible to measure the level of actors’ satisfaction. This allows identification of a combination of factors leading to the outcome while dealing with uncertain environments due to the heterogeneous nature…

Automòbils Indústria i comerçFuzzy setsGreenhouse gas (GHG) emissionsElectric vehicles020209 energyINGENIERIA MECANICAAutomotive industryClimate change02 engineering and technologyManagement of Technology and Innovation0502 economics and business0202 electrical engineering electronic engineering information engineeringDesenvolupament sostenibleClimate changeBusiness and International ManagementApplied PsychologySustainable developmentQualitative comparative analysisbusiness.industry05 social sciencesGlobal warmingQualitative comparative analysisEnvironmental economicsSoftware deploymentTransparency (graphic)Greenhouse gasORGANIZACION DE EMPRESASBusiness050203 business & managementAire ContaminacióDecision-making
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Fuzzy functions: a fuzzy extension of the category SET and some related categories

2000

<p>In research Works where fuzzy sets are used, mostly certain usual functions are taken as morphisms. On the other hand, the aim of this paper is to fuzzify the concept of a function itself. Namely, a certain class of L-relations F : X x Y -> L is distinguished which could be considered as fuzzy functions from an L-valued set (X,Ex) to an L-valued set (Y,Ey). We study basic properties of these functions, consider some properties of the corresponding category of L-valued sets and fuzzy functions as well as briefly describe some categories related to algebra and topology with fuzzy functions in the role of morphisms.</p>

Discrete mathematicsFuzzy classificationL-relationFuzzy topologylcsh:MathematicsFuzzy setlcsh:QA299.6-433Fuzzy subalgebralcsh:AnalysisFuzzy groupType-2 fuzzy sets and systemslcsh:QA1-939DefuzzificationAlgebraFuzzy mathematicsL-fuzzy functionFuzzy numberFuzzy set operationsGeometry and TopologyFuzzy categoryMathematics
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Ranking fuzzy interval numbers in the setting of random sets – further results

1999

Abstract We present some new properties of several fuzzy order relations, defined on the set of fuzzy numbers, from among those introduced in [S. Chanas, M. Delgado, J.L. Verdegay, M.A. Vila, Information Sciences 69 (1993) 201–217]. The main result is proving that four from among the relations considered in [S. Chanas, M. Delgado, J.L. Verdegay, M.A. Vila, Information Sciences 69 (1993) 201–217] are strongly transitive (s-transitive).

Discrete mathematicsTransitive relationInformation Systems and ManagementFuzzy classificationFuzzy setInterval (mathematics)Type-2 fuzzy sets and systemsFuzzy logicComputer Science ApplicationsTheoretical Computer ScienceArtificial IntelligenceControl and Systems EngineeringFuzzy mathematicsFuzzy numberSoftwareMathematicsInformation Sciences
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fuzzy approach to the robust facility layout in uncertain production environments

2001

The proposed method approaches the problem of the optimal facility layout using fuzzy theory. The optimal layout is a robust layout that minimizes the total material handling cost, when the product market demands are uncertain variables, which are defined as fuzzy numbers. Since each department has a limited production capacity, not all possible combinations, deriving from each product's market demand, are taken into account because some combination could exceed the overall department's productivity. Therefore, the optimal solution results by solving a 'constrained' fuzzy optimization problem, in which the fuzzy material handling costs corresponding to the layouts are evaluated, and a ranki…

EngineeringMathematical optimizationOptimization problembusiness.industryStrategy and Managementfuzzy sets layoutManagement Science and Operations ResearchFuzzy logicIndustrial and Manufacturing EngineeringSupply and demandProduct (business)Fuzzy transportationRankingFuzzy numberProduction (economics)business
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A fuzzy-logic-based controller for methane production in anaerobic fixed-film reactors

2017

The main objective of this work was to develop a controller for biogas production in continuous anaerobic fixed-bed reactors, which used effluent total volatile fatty acids (VFA) concentration as control input in order to prevent process acidification at closed loop. To this aim, a fuzzy-logic-based control system was developed, tuned and validated in an anaerobic fixed-bed reactor at pilot scale that treated industrial winery wastewater. The proposed controller varied the flow rate of wastewater entering the system as a function of the gaseous outflow rate of methane and VFA concentration. Simulation results show that the proposed controller is capable to achieve great process stability ev…

Engineering[SDV]Life Sciences [q-bio]Winepilot plant scale02 engineering and technologyWastewater010501 environmental sciencesbioenergyWaste Disposal Fluid7. Clean energy01 natural sciencesMethanechemistry.chemical_compoundBioreactorsanaerobic fixed-bed reactorméthaneProcess engineeringWaste Management and DisposalWater Science and TechnologyGeneral Medicinewinery wastewaterbiogaz6. Clean watercontrôle de bioprocédépilot scaleWastewateréchelle piloteMethaneAnaerobic exerciseIndustrial Wastebioréacteur à lit fixeIndustrial wasteFuzzy Logic020401 chemical engineeringControl theoryBioreactorEnvironmental Chemistry0204 chemical engineeringEffluent0105 earth and related environmental sciencesbioénergielogique flouebusiness.industryanaerobic fixed-bed reactor;fuzzy-logic control;methane;pilot scale;winery wastewaterFatty Acids Volatilevinassefuzzy setsfuzzy-logic controlchemistryControl systemmarsh gasbusiness
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Kazem Sadegh-Zadeh's lifework on philosophy of medicine

2013

Fuzziness Fuzzy Sets TheorySettore INF/01 - Informatica
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Fuzzy Set Theory as a methodological bridge between hard science and humanities

2014

In this paper, we will investigate the possible role of fuzzy set theory (FST), and more generally the ensemble of technologies and theoretical approaches known as soft computing, as a method- ological bridge between hard sciences and humanities. We will try, building on previous works, to investigate the “family links” between these disciplines and show how FST may be of help in promoting a connection between the “two cultures”. We will discuss Carnap and his paradox of explication, the dilemma between imagination and rigor according to Bateson, the problem of interdisciplinarity, and the consequences of precision and exactness.

Fuzzy Sets Soft Computing EpistemologySettore INF/01 - InformaticaSettore M-FIL/02 - Logica E Filosofia Della Scienza
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