Search results for "Preference"

showing 10 items of 819 documents

STUDY ON CONSUMERS' BEHAVIOR CONCERNING BERRIES CONSUMPTION IN ITALY

2014

In Italy, the cultivated land of berries shows a positive trend, nevertheless berries still remain a productive segment of niche and luxury in the Italian agri-food system. In the world, the interest for these productions is high for their healthy aspects that have a strong appeal to the consumers. The objectives of this study are to know the consumers behavior of berries and the determinants of purchase in Italy in order to improve the management of the producing and retailers companies for increase the competitiveness of the supply chain. The results obtained through a multivariate analysis show some difference among the consumers interviewed. The most important results of this study is t…

Cluster AnalysiConsumer's preferences.FruitSettore AGR/01 - Economia Ed Estimo RuraleConsumer's behaviour; Fruit; Cluster Analysis; Consumer's preferences.Consumer's behaviour
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Prepulse Inhibition of the Startle Reflex as a Predictor of Vulnerability to Develop Locomotor Sensitization to Cocaine

2020

Prepulse inhibition (PPI) of the startle reflex is a measure of sensory-motor synchronization. A deficit in PPI has been observed in psychiatric patients, especially those with schizophrenia and vulnerable subjects, since the neural bases of this disorder are also involved in the regulation of PPI. Recently, we have reported that baseline PPI levels in mice can predict their sensitivity to the conditioned reinforcing effects of cocaine in the conditioned place preference (CPP) paradigm. Mice with a low PPI presented a lower sensitivity to the conditioned rewarding effects of cocaine; however, once they acquired conditioned preference with a higher dose of the drug, a more persistent associa…

Cognitive NeurosciencecocainePharmacologyBehavioral sensitizationmale and female micelcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineMoro reflexMedicinelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryPrepulse inhibitionOriginal Research030304 developmental biology0303 health sciencesprepulse inhibitionbusiness.industrybehavioral sensitizationmedicine.diseaseConditioned place preferenceendophenotypeLocomotor sensitizationNeuropsychology and Physiological PsychologySchizophreniaEndophenotypebiomarkerBiomarker (medicine)motor effectsbusiness030217 neurology & neurosurgeryFrontiers in Behavioral Neuroscience
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Early development of filial preferences in the rabbit: implications of nursing- and pheromone-induced odour learning?

2008

Newborn rabbits, Oryctolagus cuniculus, discriminate between different categories of adult conspecifics on the basis of their abdominal odour cues. Whether these cues can support the development of filial preferences has not been adequately tested. Using a two-choice paradigm, we assessed the ability of 3–8-day-old pups to orient selectively to the mother versus an unfamiliar female, either spontaneously or after odour conditioning. In experiment 1, nonconditioned pups roamed indifferently over the mother and an unfamiliar female. In experiment 2, pups conditioned to a neutral odorant while nursing or with the mammary pheromone became attracted by the odorant. In experiment 3, pups that had…

Communicationbusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/Neuroscience05 social sciencesContext (language use)OlfactionChemical communicationPreferenceDevelopmental psychology03 medical and health sciences0302 clinical medicineNursingOdor[ SCCO.NEUR ] Cognitive science/NeurosciencePheromone0501 psychology and cognitive sciencesAnimal Science and Zoology050102 behavioral science & comparative psychologybusinessPsychologyComputingMilieux_MISCELLANEOUSpsychological phenomena and processes030217 neurology & neurosurgeryEcology Evolution Behavior and SystematicsAnimal Behaviour
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Left-Authoritarians and Voter Turnout in West European Countries

2017

Parties with a left profile on economic issues and an authoritarian profile on socio-cultural issues have been largely absent from the supply side of the typical post-World-War-II policy space of West European democracies. As a result, citizens with economically left and socio-culturally authoritarian policy positions have faced difficulties in identifying parties that match their preference bundle. Building on previous inquiries into the party preferences of left-authoritarians, this study hypothesizes that the cross-pressures left-authoritarians typically encounter when looking for a party that matches their preferences translate into an overall lower likelihood to turn out to vote in nat…

Competition (economics)Political economyPolitical scienceAuthoritarianismVoter turnoutTurnoutEconomic systemSupply sideSpace (commercial competition)PreferenceEuropean Social SurveySSRN Electronic Journal
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Projection Clustering Unfolding: A New Algorithm for Clustering Individuals or Items in a Preference Matrix

2020

In the framework of preference rankings, the interest can lie in clustering individuals or items in order to reduce the complexity of the preference space for an easier interpretation of collected data. The last years have seen a remarkable flowering of works about the use of decision tree for clustering preference vectors. As a matter of fact, decision trees are useful and intuitive, but they are very unstable: small perturbations bring big changes. This is the reason why it could be necessary to use more stable procedures in order to clustering ranking data. In this work, a Projection Clustering Unfolding (PCU) algorithm for preference data will be proposed in order to extract useful info…

Computer scienceDecision treeProjetion pursuit · Preference data · Clustering rankingsSpace (commercial competition)PreferenceMatrix (mathematics)RankingProcrustes analysisSettore SECS-S/01 - StatisticaCluster analysisProjection (set theory)AlgorithmPreference (economics)Subspace topologyProjetion pursuit Preference data Clustering rankingsData Analysis and Applications 3
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Vectors of Pairwise Item Preferences

2019

Neural embedding has been widely applied as an effective category of vectorization methods in real-world recommender systems. However, its exploration of users’ explicit feedback on items, to create good quality user and item vectors is still limited. Existing neural embedding methods only consider the items that are accessed by the users, but neglect the scenario when a user gives high or low rating to a particular item. In this paper, we propose Pref2Vec, a method to generate vector representations of pairwise item preferences, users and items, which can be directly utilized for machine learning tasks. Specifically, Pref2Vec considers users’ pairwise item preferences as elementary units. …

Computer scienceneuraalilaskentaInitialization02 engineering and technology010501 environmental sciencesRecommender systemMachine learningcomputer.software_genre01 natural sciences0202 electrical engineering electronic engineering information engineeringvectorizationPreference (economics)Independence (probability theory)0105 earth and related environmental sciencesbusiness.industryComputer Science::Information RetrievalsuosittelujärjestelmätConditional probabilityneural embeddingVectorization (mathematics)Benchmark (computing)020201 artificial intelligence & image processingPairwise comparisonArtificial intelligencebusinesscomputer
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Artificial Decision Maker Driven by PSO : An Approach for Testing Reference Point Based Interactive Methods

2018

Over the years, many interactive multiobjective optimization methods based on a reference point have been proposed. With a reference point, the decision maker indicates desirable objective function values to iteratively direct the solution process. However, when analyzing the performance of these methods, a critical issue is how to systematically involve decision makers. A recent approach to this problem is to replace a decision maker with an artificial one to be able to systematically evaluate and compare reference point based interactive methods in controlled experiments. In this study, a new artificial decision maker is proposed, which reuses the dynamics of particle swarm optimization f…

Computer sciencepäätöksentekomultiple criteria decision makingContext (language use)02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesMulti-objective optimizationoptimointi0202 electrical engineering electronic engineering information engineeringmultiobjective optimization0101 mathematicsToma de decisionespreference articulationparticle swarm optimizationbusiness.industryParticle swarm optimizationDecision makermonitavoiteoptimointiPreferenceMulti-objective optimization010101 applied mathematicsBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer
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Argumentation graphs with constraint-based reasoning for collaborative expertise

2018

International audience; Collaborative processes are very important in telemedicine domain since they allow for making right decisions in complex situations with multidisciplinary staff. When modelling these collaborative processes, some inconsistencies can appear. In semantic modelling (conceptual graphs), these inconsistencies are verified using constraints. In this work, collaborative processes are represented using an argumentation system modelled in a conceptual graph formalism where inconsistencies could be particular bad attack relation between arguments. To overcome these inconsistencies, two solutions are proposed. The first one is to weight the arguments evolving in the argumentati…

Constraint based reasoningmedical deontologyComputer Networks and CommunicationsComputer sciencedomain0206 medical engineeringMédecine humaine et pathologieArgumentation theory02 engineering and technologyInconsistenciesWeightingdecision makingArgumentation theoryAutreMultidisciplinary approachframeworksCredibilityconceptual graphs0202 electrical engineering electronic engineering information engineeringinconsistenciesCompetence (human resources)Health professionalsManagement scienceMedical deontology[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]decision-makingargumentation theory16. Peace & justice020601 biomedical engineeringWeightingassignmentConceptual graphsHardware and ArchitectureConceptual graph020201 artificial intelligence & image processingweightingteleexpertiseDecision makingpreference-based argumentationmanagement[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologySoftwareFuture Generation Computer Systems
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On the imprecision of consumer's spatial preferences

1978

Faced with a set of needs of different intensities and which he perceives more or less indistinctly, a consumer is not normally capable of selecting among the elements belonging to his set of possible consumptions, those he prefers or is indifferent to and those from which he is likely to derive utility. Moreover the goods and services are attainable to different degrees (available in supply space) and his knowledge is perfect only in border-line cases with the result that his world is generally imprecise. Even someone with an exceptional gift for discrimination is not capable of formulating for any pair of goods, his preference or indifference according to binary logic. The purpose of this…

Consumer behaviourFuzzy setGeography Planning and Developmentspatial preferenceSpace (commercial competition)Environmental Science (miscellaneous)[SHS.ECO]Humanities and Social Sciences/Economics and FinanceMicroeconomicsGoods and servicesEconomics[ SHS.ECO ] Humanities and Social Sciences/Economies and financesPoint (geometry)[SHS.ECO] Humanities and Social Sciences/Economics and FinanceSet (psychology)Preference (economics)Consumer behaviourIndifference curve
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Sensitivity analysis of consumption cycles

2018

We study the special case of a nonlinear stochastic consumption model taking the form of a 2-dimensional, non-invertible map with an additive stochastic component. Applying the concept of the stochastic sensitivity function and the related technique of confidence domains, we establish the conditions under which the system's complex consumption attractor is likely to become observable. It is shown that the level of noise intensities beyond which the complex consumption attractor is likely to be observed depends on the weight given to past consumption in an individual's preference adjustment.

Consumption (economics)Applied Mathematics05 social sciencesGeneral Physics and AstronomyStatistical and Nonlinear PhysicsObservable01 natural sciences010305 fluids & plasmasNoiseNonlinear system0502 economics and business0103 physical sciencesAttractorEconometricsSensitivity (control systems)050207 economicsSpecial casePreference (economics)Mathematical PhysicsMathematicsChaos: An Interdisciplinary Journal of Nonlinear Science
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