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Добірка наукової літератури з теми "Preference function"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 липня 2025

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Статті в журналах з теми "Preference function"

Nguyen, Dat-Dao. "Using Social Choice Function Vs. Social Welfare Function To Aggregate Individual Preferences In Group Decision Support Systems." International Journal of Management & Information Systems (IJMIS) 18, no. 3 (2014): 167. http://dx.doi.org/10.19030/ijmis.v18i3.8703.

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In multi-criteria decision making, any Group Decision Support System (GDSS) requires a social judgment model for calculation of weights on decision alternatives, and tabulation of individual votes toward a consensus. One could assess a Social Welfare Function - such as Keeneys - to aggregate individual cardinal preferences or utilities into a group preference. Alternatively, one could use Social Choice Functions - such as Condorcet, Borda, Copeland, and Eigenvector - to aggregate individual ordinal preferences or rankings into a group ranking. This study empirically investigates the consensus

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Khan, Mohammad Faisal, Md Gulzarul Hasan, Abdul Quddoos, Armin Fügenschuh, and Syed Suhaib Hasan. "Goal Programming Models with Linear and Exponential Fuzzy Preference Relations." Symmetry 12, no. 6 (2020): 934. http://dx.doi.org/10.3390/sym12060934.

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Goal programming (GP) is a powerful method to solve multi-objective programming problems. In GP the preferential weights are incorporated in different ways into the achievement function. The problem becomes more complicated if the preferences are imprecise in nature, for example ‘Goal A is slightly or moderately or significantly important than Goal B’. Considering such type of problems, this paper proposes standard goal programming models for multi-objective decision-making, where fuzzy linguistic preference relations are incorporated to model the relative importance of the goals. In the exist

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Knox, W. Bradley, Stephane Hatgis-Kessell, Sigurdur Orn Adalgeirsson, et al. "Learning Optimal Advantage from Preferences and Mistaking It for Reward." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 9 (2024): 10066–73. http://dx.doi.org/10.1609/aaai.v38i9.28870.

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We consider algorithms for learning reward functions from human preferences over pairs of trajectory segments, as used in reinforcement learning from human feedback (RLHF). Most recent work assumes that human preferences are generated based only upon the reward accrued within those segments, or their partial return. Recent work casts doubt on the validity of this assumption, proposing an alternative preference model based upon regret. We investigate the consequences of assuming preferences are based upon partial return when they actually arise from regret. We argue that the learned function is

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Zhou, Zhichun, David Burrell McAdam, Deborah Ann Napolitano, and Kathryn Douthit. "Shining a Light on the Challenging Behaviors of Adolescents with Comorbid Diagnoses: Use of Pictorial Concurrent Operant Preference Assessment." Children 8, no. 8 (2021): 683. http://dx.doi.org/10.3390/children8080683.

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Currently, there are no published studies that have used the concurrent operant preference assessment procedure to identify functions of challenging behaviors displayed by individuals with comorbid diagnoses. Four participants (aged 11–16 years) with comorbid diagnoses who displayed multiple challenging behaviors were referred to this study. We modified the standard concurrent operant preference assessment and used the new modified version, the pictorial concurrent operant preference assessment, to identify the functions of the challenging behaviors. Utilizing the triangulation mixed-methods d

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Weichselbaum, Hanna, Helmut Leder, and Ulrich Ansorge. "Implicit and Explicit Evaluation of Visual Symmetry as a Function of Art Expertise." i-Perception 9, no. 2 (2018): 204166951876146. http://dx.doi.org/10.1177/2041669518761464.

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In perception, humans typically prefer symmetrical over asymmetrical patterns. Yet, little is known about differences in symmetry preferences depending on individuals’ different past histories of actively reflecting upon pictures and patterns. To address this question, we tested the generality of the symmetry preference for different levels of individual art expertise. The preference for symmetrical versus asymmetrical abstract patterns was measured implicitly, by an Implicit Association Test (IAT), and explicitly, by a rating scale asking participants to evaluate pattern beauty. Participants

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Runken, Michael Chris, and Juan Marcos Gonzalez. "Using patients’ stated preferences for immunoglobulin therapies to evaluate administration features in current treatments." Journal of Immunology 196, no. 1_Supplement (2016): 130.5. http://dx.doi.org/10.4049/jimmunol.196.supp.130.5.

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Abstract In 2012, Mohamed et al.(J Med Econ) estimated preference weights for changes in the administration features of immunoglobulin (IG) therapies among patients with self-reported primary immunodeficiency disorder (PIDD). The preference weights were estimated using a discrete-choice experiment survey that asked respondents to choose between hypothetical treatments with varying administration features. However, the authors did not discuss the implications of their results on patients’ preferences for currently available IG therapies with specific combinations of the elicited features. Trans

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Ajaz, Taufeeq. "Nonlinear Reaction functions: Evidence from India." Journal of Central Banking Theory and Practice 8, no. 1 (2019): 111–32. http://dx.doi.org/10.2478/jcbtp-2019-0006.

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Abstract This paper uses time-series data from India and tests for asymmetries in policy preferences of the Reserve Bank of India (the Central Bank of India, hereafter RBI). The results show evidence in favour of preference asymmetries in monetary policy reaction function in India and hence nonlinearities in the Taylor-rule. Evidence of both recession avoidance preference (RAP) as well as inflation avoidance preference (IAP) is established. And it is found that RAP is dominant over IAP, thus confirming nonlinearities in reaction function which in the present case turns out to be concave in inf

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Akram, Muhammad, Shumaiza, and Ahmad N. Al-Kenani. "Multi-Criteria Group Decision-Making for Selection of Green Suppliers under Bipolar Fuzzy PROMETHEE Process." Symmetry 12, no. 1 (2020): 77. http://dx.doi.org/10.3390/sym12010077.

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The preference ranking organization method for enrichment of evaluations (PROMETHEE) method considers a significant outranking class of multi-criteria decision analysis (MCDA), as it is easy to deal with its simple computations. In the PROMETHEE, different preference functions are used according to the type and nature of attributes or criteria that demonstrate the clearness and reliability of this method. This study provides a new version of the PROMETHEE method using bipolar fuzzy information, named the bipolar fuzzy PROMETHEE method. Bipolar fuzzy sets or numbers constitute an asymmetrical r

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Chen, Yu-ke, Yan Zou, and Zhe Chen. "Preference Integration and Optimization of Multistage Weighted Voting System Based on Ordinal Preference." Abstract and Applied Analysis 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/186545.

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Multistage voting is a common voting form through which the winners are selected. By virtue of weighted multistage voting rules, in this paper, we establish a weighted voting model by analyzing the correlation between individual preference and group preference. The weights of voters in each voting stage are adjusted through preference deviation degrees between individual preferences and group preference, and the ranking among candidates in each stage is determined according to weighted Borda function value. Examples are given to verify our model, which shows that weighted information aggregati

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Esposito, Nicholas J. "Function as a Preferred Dimension among Children and Adults." Perceptual and Motor Skills 62, no. 3 (1986): 899–902. http://dx.doi.org/10.2466/pms.1986.62.3.899.

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Subjects' preferences for function vs form or for function vs color were tested using a method of triads. Children (16 girls, 24 boys) and adults (65 women, 17 men) showed a strong preference for function over color and adults also for function over form. Color-function concept identification was better when function was the relevant dimension. These data indicate that function can be assessed like physical dimensions, that function is more preferred than or as preferred as other dimensions by children and adults and that responses to preference tests are applicable over a wide range of dimens

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Дисертації з теми "Preference function"

Turner, Hannah L. "Quantification of product color preference in a utility function." Diss., Rolla, Mo. : Missouri University of Science and Technology, 2010. http://scholarsmine.mst.edu/thesis/pdf/Turner_09007dcc8078c48d.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2010.<br>Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 21, 2010) Includes bibliographical references (p. 38-39).

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Bian, Zhenju. "Design of a wizard for preference function modelling software." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0021/MQ48257.pdf.

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Larik, Waseem. "Revealed preference differences among credit rating agencies." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/revealed-preference-differences-among-credit-rating-agencies(6adae219-dd55-468c-a040-1aaf0b48f579).html.

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The thesis studies the factors which underpin the allocation of credit ratings by the two major credit rating agencies (CRAs) namely Moody’s and S&P. CRAs make regular headlines, and their rating’s judgements are closely followed and debated by the financial community. Indeed, criticism of these agencies emerged, both in this community and the popular press, following the 2007-2008 financial crisis. This thesis examines several aspects of the allocation of credit ratings by the major agencies, particularly in relation to (i) their revealed “loss function” preference structure, (ii) the determi

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Lyubchyk, Leonid, and Galina Grinberg. "Nonlinear expert preference function concordance identification for multiple criteria decision making." Thesis, ТВіМС, 2014. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36757.

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The proposal generalization of expert estimates concordance idea for the case of nonlinear preferance function guaranties on optimal concordance of mesuarement and expert data, whereas machine learning approach ensure the possibility of more accurate approximation expert preference function with complex structure.<br>Предложен подход согласования экспертных оценок для случая нелинейных функций предпочтения, который гарантирует оптимальное согласование данных измерений и экспертных данных, который при использовании методов машинного обучения обеспечивает возможность построения более точной аппр

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Cronin, Anna Elizabeth. "THE INTERACTION BETWEEN FUNCTION AND MACHINE PREFERENCE IN SLOT MACHINE GAMBLERS." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1538.

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Gambling is a popular pastime in the United States, and it is important that we understand the class of behaviors in a behavior analytic context. The relationship between the function and preference of gambling behavior remains yet to be explored. The purpose of these two studies is to examine this relationship. Participants were asked to play a set of four computerized slot machines. Each slot machine was tied to a separated function-based outcome which they could win. In study 1, 80% of participants had a distinct preference for a single outcome. In study 2, the participants were also admini

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Persson, Niklas. "Analysis of Emoji Usage : Differences in Preference and Function Across Genders." Thesis, Högskolan i Jönköping, Högskolan för lärande och kommunikation, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-43856.

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How do people make use of emojis in their daily computer-mediated communication? In order to obtain data, a sampling methodology was implemented in which data from 15 female and 15 male participants was used to provide reports on the differences in preference and functions of emoji usage across genders. The study found that in variety and in total, males tend to select a greater amount of emojis, in comparison to females. The participants’ reasons for using emojis in instant messages varied across the two gender groups, females focused on illustrating a state of emotion while the males focused

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Lyubchyk, Leonid, Oleksy Galuza, and Galina Grinberg. "Ranking Model Real-Time Adaptation via Preference Learning Based on Dynamic Clustering." Thesis, ННК "IПСА" НТУУ "КПI iм. Iгоря Сiкорського", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36819.

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The proposed preference learning on clusters method allows to fully realizing the advantages of the kernel-based approach. While the dimension of the model is determined by a pre-selected number of clusters and its complexity do not grow with increasing number of observations. Thus real-time preference function identification algorithm based on training data stream includes successive estimates of cluster parameter as well as average cluster ranks updating and recurrent kernel-based nonparametric estimation of preference model.

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Mura, Emi. "Studies on the sensory perception and oral function of aversive stimuli in food." Kyoto University, 2018. http://hdl.handle.net/2433/233849.

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Remus, Britten Grace. "An Investigation of the Effects of Practice on Color Memory as a Function of Condition, Dimension and Color." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/31033.

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Forty-two college aged participants took part in a mixed repeated measures factorial design experiment that assessed color memory as a function of condition (practice with feedback, practice without feedback and no practice), dimension (hue, saturation and lightness) and color (red, yellow, green and blue). Attention was focused on the distinction between memory color and color memory, color experience and preference, mechanisms of color perception and theories of color vision (see below). Only two significant effects were found: a significant main effect for dimension and a significant int

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Cochet, Hélène. "Hand shape, function and hand preference of communicative gestures in young children : insights into the origins of human communication." Thesis, Aix-Marseille 1, 2011. http://www.theses.fr/2011AIX10076/document.

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Bien que l’utilisation précoce de gestes communicatifs par de jeunes enfants soit reconnue comme étant étroitement liée au développement du langage (e.g., Colonnesi et al., 2010), la nature des liens gestes–langage doit encore être clarifiée. Cette thèse a pour but d’étudier la production de gestes de pointage au cours du développement afin de déterminer si la relation prédictive et facilitatrice entre les gestes et l’acquisition du langage implique des fonctions spécifiques du pointage, en association avec des caractéristiques spécifiques en terme de forme de mains, regard et vocalisations. D

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Книги з теми "Preference function"

Abu-Assab, Samah. Integration of Preference Analysis Methods into Quality Function Deployment. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-7075-6.

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Meandro, Lucy. Classroom seating preference as a function of student personality. Laurentian University, Department of Psychology, 1987.

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Ryan, Mandy. Stated preference: A method for establishing the nature of the patient's utility function. Health Economics Research Unit, University of Aberdeen, 1992.

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Sangalang, P. J. "I like my beer cold, my TV loud, and my homosexuals flaming!": Preference for stereotype consistency as a function of a person x situation interaction. Brock University, Dept. of Psychology, 2006.

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Moskowitz, Herbert. Preference order recursion for finding relevant pure admissible and optimal statistical decision functions. Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1987.

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Dervitz, Peggy. Preference, choice, decision: A model for limited guardianship. Guardianship Association of New Jersey, 2001.

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Pemberton, James. Surprises in the utility function: A micro model and some implications for consumption, saving, and asset accumulation. University of Reading, Dept. of Economics, 1992.

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Pemberton, James. Surprises in the utility function: A micro model and some implications for consumption, saving, and asset accumulation. University of Reading, 1992.

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Duque-Páramo, María Claudia. Food as a function of cultural identity among immigrant children: An ethnographic study. Edwin Mellen Press, 2009.

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Duque-Páramo, María Claudia. Food as a function of cultural identity among immigrant children: An ethnographic study. Edwin Mellen Press, 2009.

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Частини книг з теми "Preference function"

Archibugi, Franco. "The Political Preference Function." In The Programming Approach and the Demise of Economics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-78057-3_6.

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Abu-Assab, Samah. "Methods of Preference Measurement." In Integration of Preference Analysis Methods into Quality Function Deployment. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-7075-6_3.

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Merkies, Arnold H. Q. M., and Marjan W. Hofkes. "Operationalizing a Macro-Economic Preference Function." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-51675-7_13.

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Ono, Taketoshi, Kunio Torii, Eiichi Tabuchi, Takashi Kondoh, and Teruko Uwano. "Central Function in Preference for Amino Acids." In Olfaction and Taste XI. Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68355-1_152.

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Abu-Assab, Samah. "Quality Function Deployment in New Product Development." In Integration of Preference Analysis Methods into Quality Function Deployment. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-7075-6_4.

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Vind, Karl. "Preferences and preference functions." In Independence, Additivity, Uncertainty. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24757-9_3.

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Zhang, Guohui, Gaoyuan Liang, Weizhi Li, et al. "Learning Convolutional Ranking-Score Function by Query Preference Regularization." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68935-7_1.

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Barzilai, Jonathan. "Preference Function Modelling: The Mathematical Foundations of Decision Theory." In International Series in Operations Research & Management Science. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-5904-1_3.

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Abu-Assab, Samah. "Integration of Preference Analysis Methods into QFD for Elderly People." In Integration of Preference Analysis Methods into Quality Function Deployment. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-7075-6_5.

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Abu-Assab, Samah. "Introduction." In Integration of Preference Analysis Methods into Quality Function Deployment. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-7075-6_1.

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Тези доповідей конференцій з теми "Preference function"

Ellis, Evan, Gaurav R. Ghosal, Stuart J. Russell, Anca Dragan, and Erdem Bıyık. "A Generalized Acquisition Function for Preference-based Reward Learning." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611472.

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Lai, Guiyu, Yanmei Luo, Yaohui Zhang, and Zhen Liu. "Preference Incorporation in Evolutionary Multi-Objective Optimization By Logistic Function." In 2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC). IEEE, 2024. https://doi.org/10.1109/aiac63745.2024.10899504.

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Rismala, Rita, Nur Ulfa Maulidevi, and Kridanto Surendro. "Personalized Neural Network-based Aggregation Function with Partial Preference Handling in Multi-Criteria Collaborative Filtering." In 2024 11th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA). IEEE, 2024. http://dx.doi.org/10.1109/icaicta63815.2024.10763316.

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Ren, Yi, and Panos Y. Papalambros. "Design Preference Elicitation, Derivative-Free Optimization and Support Vector Machine Search." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28475.

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In design preference elicitation, we seek to find individuals’ design preferences, usually through an interactive process that would need only a very small number of interactions. Such a process is akin to an optimization algorithm that operates with point values of an unknown function and converges in a small number of iterations. In this paper, we assume the existence of individual preference functions and show that the elicitation task can be translated into a derivative-free optimization (DFO) problem. Different from commonly-studied DFO formulations, we restrict the outputs to binary clas

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Wan, Jie, and Sundar Krishnamurty. "Towards a Consistent Preference Representation in Engineering Design." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dtm-5675.

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Abstract Multiattribute utility theory is commonly used to define and represent the decision-maker’s preferences under conditions of uncertainty and risk. A major issue in implementing this approach deals with the identification and generation of appropriate utility functions, especially in an often nonlinear and complex engineering design environment. Typically, the decision-maker’s preferences are provided through lottery questions rather than based on deductive reasoning to reflect the nonlinear tradeoffs among the attributes. The use of such an intuitive procedure can lead to inconsistent

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Orsborn, Seth, Jonathan Cagan, and Peter Boatwright. "Quantifying Aesthetic Form Preference in a Utility Function." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49295.

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One of the greatest challenges in product development is creating a form that is attractive to an intended market audience. Functional product features are easier to test and verify through user surveys and consumer interactions. But, aesthetic preferences are as varied as the people that respond to these products. Currently, there is no technique that clearly and concisely quantifies aesthetic preference. The common methods use semantics like “strong” and “sexy”. A designer then needs to take the consumer’s desire for a certain aesthetic and translate that into a form that the consumer will f

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Ohshima, Kentarou, and Hideki Aoyama. "Design Emerging System by Applying Consumer’s Preference to Designer’s Idea." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28199.

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In recent years, aesthetic design is given increasing importance in the development of products industry with the growing maturity of product functions. The designer is required to reflect consumer needs in the aesthetic design while giving consideration to use and function. Effective techniques enabling design creation based on consumer preference and needs are indispensable. This study thus aims to construct a design support system which can identify various consumer needs and provide ideas to the designer at an early stage in the design process. In the identification of the consumer prefere

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Alviano, Mario, Javier Romero, and Torsten Schaub. "On the Integration of CP-nets in ASPRIN." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/207.

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Conditional preference networks (CP-nets) express qualitative preferences over features of interest.A Boolean CP-net can express that a feature is preferable under some conditions, as long as all other features have the same value.This is often a convenient representation, but sometimes one would also like to express a preference for maximizing a set of features, or some other objective function on the features of interest.ASPRIN is a flexible framework for preferences in ASP, where one can mix heterogeneous preference relations, and this paper reports on the integration of Boolean CP-nets.In

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Afshari, Hamid, Qingjin Peng, and Peihua Gu. "An Agent-Based Method to Investigate Customers’ Preference in Product Lifecycle." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13415.

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Consumer requirements for products vary dynamically based on the change of technologies, social influence, individual taste, etc. A sustainable product should meet customer requirements in its lifecycle. Different methods and techniques have been proposed to find possible changes of product needs or customers’ preferences. This paper introduces an agent-based technique to address the change of product requirements. Major contribution of the proposed method is to embed customers’ preference in the analysis of product performance using agent interactions. Using the combination of Quality Functio

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Ennaceur, Amel, Zied Elouedi, and Eric Lefevre. "Modeling expert preference using the qualitative belief function framework." In 2013 13th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2013. http://dx.doi.org/10.1109/isda.2013.6920715.

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Звіти організацій з теми "Preference function"

Hertel, Thomas, and Padma Swaminathan. Introducing Monopolistic Competition into the GTAP Model. GTAP Technical Paper, 2000. http://dx.doi.org/10.21642/gtap.tp06.

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This technical paper documents one approach to incorporating monopolistic competition into the GTAP model. In this framework, consumer preferences are heterogeneous, leading to an apparent "love of variety" in the aggregate utility function for each region. The more heterogeneous are preferences, the smaller the elasticity of substitution in the aggregate utility function, and the greater the value placed on the addition of new varieties. The same is true for firms, which experience lower unit costs for differentiated, intermediate inputs, as the number of varieties on offer increases. In orde

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Pasupuleti, Murali Krishna. Quantum Cognition: Modeling Decision-Making with Quantum Theory. National Education Services, 2025. https://doi.org/10.62311/nesx/rrvi225.

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Abstract Quantum cognition applies quantum probability theory and mathematical principles from quantum mechanics to model human decision-making, reasoning, and cognitive processes beyond the constraints of classical probability models. Traditional decision theories, such as expected utility theory and Bayesian inference, struggle to explain context-dependent reasoning, preference reversals, order effects, and cognitive biases observed in human behavior. By incorporating superposition, interference, and entanglement, quantum cognitive models offer a probabilistic framework that better accounts

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Briones, Roehlano. What Can We Learn from the Formal Agricultural Sector? Trends, Scale, and Governance of Agriculture and Fishery Establishments in the Philippines. Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.33.

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The Philippines’ Agriculture and Fisheries Modernization Act (AFMA) identifies one of the modernization objectives as "to encourage horizontal and vertical integration, consolidation, and expansion of agriculture and fisheries activities, group functions and other services through the organization of cooperatives, farmers’ and fisherfolk’s associations, corporations, nucleus estates, and consolidated farms" (Section 3.d). Consolidation is an issue in developing countries, including the Philippines, where agriculture is dominated by small family farms. Consolidation will also entail formal reco

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Matzkin, Rosa, Richard Blundell, and Dennis Kristensen. Bounding quantile demand functions using revealed preference inequalities. IFS, 2011. http://dx.doi.org/10.1920/wp.cem.2011.2111.

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Pfajfar, Damjan, and Fabian Winkler. Households' Preferences Over Inflation and Monetary Policy Tradeoffs. Federal Reserve Bank of Cleveland, 2025. https://doi.org/10.26509/frbc-wp-202512.

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We document novel facts about US household preferences over inflation and monetary policy tradeoffs. Many households were attentive to news about monetary policy and to interest rates in 2023. The median household perceives the Federal Reserve's inflation objective to be 3 percent, but would prefer it to be lower. Quantifying the tradeoff between inflation and unemployment, we find an average acceptable sacrifice ratio of 0.6, implying that households are likely to find disinflation costly. Average preferences are well represented by a non-linear loss function with near equal weights on inflat

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Kim, Jinwon, and Jucheol Moon. Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2031.

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On average, California car commuters waste 4–5 minutes per morning commute due to congestion. Multiplied across all California car commuters, those few minutes entail a yearly total of approximately 2.3 billion hours of time wasted, costing 6 billion dollars. The objective of this study is to quantify congestion costs and determine how commuters adapt to the level of congestion they face (i.e., commuters’ scheduling utility functions). To that end, this research developed a model of trip scheduling under congestion to construct California commuters’ travel-time profiles, i.e., the menu of trav

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Ericson, Keith Marzilli, and Jawwad Noor. Delay Functions as the Foundation of Time Preference: Testing for Separable Discounted Utility. National Bureau of Economic Research, 2015. http://dx.doi.org/10.3386/w21095.

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Orloff, Wendy. Listening Rate Preferences of Language Disordered Children as a Function of Grammatical Complexity. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.2542.

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Nikolova, Natalia, Boyan Mednikarov, and Kiril Tenekedjiev. Local Risk Proneness in Analytically Approximated Utility Functions under Monotonically Decreasing Preferences. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/crabs.2018.11.13.

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Largoza, Gerardo, and Clarence Gabriel Fernandez. Review of CHED Policies, Standards, and Guidelines (PSGs) Pre- and Post-K to 12 Reforms. Philippine Institute for Development Studies, 2025. https://doi.org/10.62986/dp2025.13.

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In the decade from 2012 to 2021, Philippine higher education experienced three major reforms: the adoption of an outcomes-based typology for programs and institutions, the establishment of the Philippine Qualifications Framework to set competency standards, pathways, and equivalencies, and the implementation of K to 12 legislation, which added two years to the country’s basic education cycle. Have these reforms resulted in improvements to the minimum standards embodied in the Policies, Standards, and Guidelines (PSGs) of the Commission on Higher Education (CHED) formulated by independent Techn

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