Relevant bibliographies by topics / Nonlinear preference function

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Nonlinear preference function'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Nonlinear preference function"

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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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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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FEDRIZZI, MARIO, MICHELE FEDRIZZI, and R. A. MARQUES PEREIRA. "CONSENSUS MODELLING IN GROUP DECISION MAKING: DYNAMICAL APPROACH BASED ON FUZZY PREFERENCES." New Mathematics and Natural Computation 03, no. 02 (2007): 219–37. http://dx.doi.org/10.1142/s1793005707000744.

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The. notion of consensus plays an important role in group decision making, particularly when the collective preference structure is generated by a dynamical aggregation process of the single individual preference structures. In this dynamical process of aggregation each single decision maker gradually transforms his/her preference structure by combining it, through iterative weighted averaging, with the preference structures of the remaining decision makers. In this way, the collective decision emerges dynamically as a result of the consensual interaction among the various decision makers in t
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Wang, Jing, Bing Yan, Guohao Wang, and Liying Yu. "Rating TAs in fuzzy QFD by objective penalty function and fuzzy TOPSIS based on weighted Hamming distance." Journal of Intelligent & Fuzzy Systems 39, no. 3 (2020): 3665–79. http://dx.doi.org/10.3233/jifs-191955.

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Quality function deployment (QFD) is an useful tool to solve Multi-criteria decision making, which can translate customer requirements (CRs) into the technical attributes (TAs) of a product and helps maintain a correct focus on true requirements and minimizes misinterpreting customer needs. In applying quality function deployment, rating technical attributes from input variables is a crucial step in fuzzy environments. In this paper, a new approach is developed, which rates technical attributes by objective penalty function and fuzzy technique for order preference by similarity to an ideal sol
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CHEN, TING-YU. "NONLINEAR ASSIGNMENT-BASED METHODS FOR INTERVAL-VALUED INTUITIONISTIC FUZZY MULTI-CRITERIA DECISION ANALYSIS WITH INCOMPLETE PREFERENCE INFORMATION." International Journal of Information Technology & Decision Making 11, no. 04 (2012): 821–55. http://dx.doi.org/10.1142/s0219622012500228.

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In the context of interval-valued intuitionistic fuzzy sets, this paper develops nonlinear assignment-based methods to manage imprecise and uncertain subjective ratings under incomplete preference structures and thereby determines the optimal ranking order of the alternatives for multiple criteria decision analysis. By comparing each interval-valued intuitionistic fuzzy number's score function, accuracy function, membership uncertainty index, and hesitation uncertainty index, a ranking procedure is employed to identify criterion-wise preference of alternatives. Based on the criterion-wise rank
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Pratikto, Fransiscus Rian, Gerardus Daniel Julianto, and Sani Susanto. "Preference-Based Revenue Optimization for App-Based Lifestyle Membership Plans." Jurnal Ilmiah Teknik Industri 20, no. 1 (2021): 21–31. http://dx.doi.org/10.23917/jiti.v20i1.13312.

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The demand for a product is rooted in the consumers’ needs and preferences. Therefore, a pricing optimization model will be more valid if the demand function is represented under this basic notion. A preference-based revenue optimization model for an app-based lifestyle membership program is developed and solved in this research. The model considers competitor products and cannibalization effect from products in other fare-class, where both are incorporated using a preference-based demand function. The demand function was derived through a randomized first choice simulation that converts indiv
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Aragón, Edilean Kleber da Silva Bejarano, and Marcelo Savino Portugal. "Nonlinearities in Central Bank of Brazil's reaction function: the case of asymmetric preferences." Estudos Econômicos (São Paulo) 40, no. 2 (2010): 373–99. http://dx.doi.org/10.1590/s0101-41612010000200005.

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This paper investigates the existence of possible asymmetries in the Central Bank of Brazil's objectives. By assuming that the loss function is asymmetric with regard to positive and negative deviations of the output gap and of the inflation rate from its target, we estimated a nonlinear reaction function which allows identifying and checking the statistical significance of asymmetric parameters in the monetary authority's preferences. For years 2000 to 2007, results indicate that the Central Bank of Brazil showed asymmetric preference over an above-target inflation rate. Given that this behav
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Liu, Huazhen, Wei Wang, Yihan Zhang, Renqian Gu, and Yaqi Hao. "Neural Matrix Factorization Recommendation for User Preference Prediction Based on Explicit and Implicit Feedback." Computational Intelligence and Neuroscience 2022 (January 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/9593957.

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Explicit feedback and implicit feedback are two important types of heterogeneous data for constructing a recommendation system. The combination of the two can effectively improve the performance of the recommendation system. However, most of the current deep learning recommendation models fail to fully exploit the complementary advantages of two types of data combined and usually only use binary implicit feedback data. Thus, this paper proposes a neural matrix factorization recommendation algorithm (EINMF) based on explicit-implicit feedback. First, neural network is used to learn nonlinear fe
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Izawa, Andrew, and Matthias Fripp. "Multi-Objective Control of Air Conditioning Improves Cost, Comfort and System Energy Balance." Energies 11, no. 9 (2018): 2373. http://dx.doi.org/10.3390/en11092373.

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A new model predictive control (MPC) algorithm is used to select optimal air conditioning setpoints for a commercial office building, considering variable electricity prices, weather and occupancy. This algorithm, Cost-Comfort Particle Swarm Optimization (CCPSO), is the first to combine a realistic, smooth representation of occupants’ willingness to pay for thermal comfort with a bottom-up, nonlinear model of the building and air conditioning system under control. We find that using a quadratic preference function for temperature can yield solutions that are both more comfortable and lower-cos
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Wang, Hua Kai. "Research of Resonant Machine Nonlinear Vibrating Characteristics." Applied Mechanics and Materials 494-495 (February 2014): 641–44. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.641.

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Studying the core component of the resonant machine by building the bench test system, utilizing the nonlinear analysis function of Abaqus/Explicit to solve the problem that the rigid-flexible coupling model can`t take the material nonlinearity into adequate consideration. Simulating the nonlinearity of the vibrating beam by doing time integration over the kinematic equation to obtain an accurate and reliable result. Firstly, simplifying the bench testing system to simulating the low frequent vibration; And then, comparing the acceleration root value between the test data and the simulating re
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Dissertations / Theses on the topic "Nonlinear preference function"

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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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Hansen, Silva Erwin Guillermo. "Nonlinear conditional risk-neutral density estimation in discrete time with applications to option pricing, risk preference measurement and portfolio choice." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/nonlinear-conditional-riskneutral-density-estimation-in-discrete-time-with-applications-to-option-pricing-risk-preference-measurement-and-portfolio-choice(0369c1bb-0873-42c8-a0cf-d18356b3643e).html.

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In this thesis, we study the estimation of the nonlinear conditionalrisk-neutral density function (RND) in discrete time. Specifically, weevaluate the extent to which the estimated nonlinear conditional RNDvaluable insights to answer relevant economic questions regarding to optionpricing, the measurement of invertors' preferences and portfolio choice.We make use of large dataset of options contracts written on the S&P 500index from 1996 to 2011, to estimate the parameters of the conditional RNDfunctions by minimizing the squared option pricing errors delivered by thenonlinear models studied in
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Fiodendji, Komlan. "Monetary Policy, Asset Price and Economic Growth." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22725.

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The relations between monetary policies, asset prices, and economic growth are important and fundamental questions in macroeconomics. To address these issues, several empirical works have been conducted to investigate these relations. However, few of them have documented whether these relations differ across regimes. In this context, the general motivation of this thesis is to use dependent regime models to examine these relations for the Canadian case. Chapter one empirically analyzes the interest rate behaviour of the Canadian monetary authorities by taking into account the asymmetry in th
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Books on the topic "Nonlinear preference function"

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Gordon, Robert. “Old Situations, New Complications”. Edited by Robert Gordon. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780195391374.013.0004.

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Forumrepresents an idiosyncratic attempt to reconcile the principles of musical comedy with Sondheim’s avowed preference for writing integrated musical drama. The sources of its plot in Roman farce become a pretext for a camp pastiche of the vulgar clichés of American burlesque and vaudeville. By analyzing the dramaturgical function of the individual songs, the chapter illustrates the various ways in which their evocation of the thought processes of type characters motivates the causal logic of the plot. The ingenuity of their placement and form is shown to shape the mood and pace of the actio
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Book chapters on the topic "Nonlinear preference function"

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Mallick, Subhashis. "Optimization Using Genetic Algorithms – Methodology with Examples from Seismic Waveform Inversion." In Artificial Intelligence. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.113897.

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Genetic algorithms use the survival of the fittest analogy from evolution theory to make random walks in the multiparameter model-space and find the model or the suite of models that best-fit the observation. Due to nonlinear nature, runtimes of genetic algorithms exponentially increase with increasing model-space size. A diversity-preserved genetic algorithm where each member of the population is given a measure of diversity and the models are selected in preference to both their objective and diversity values, and scaling the objectives using a suitably chosen scaling function can expedite c
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"Multicriteria Problems in Complex Systems Management." In Multi-Criteria Decision Making for the Management of Complex Systems. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2509-7.ch002.

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Chapter 2 provides a general formulation of multicriteria problems. Formalization of the utility function and analysis of the utility function are considered. Nonlinear scheme of compromise and its unification is proposed. Accounting for the decision maker preferences is reviewed. The dual approach to the accounting is proposed. Pareto optimality and axiomatics of the nonlinear scheme of compromise are considered. A nested scalar convolutions method is proposed. Multicriteria evaluation problems are reviewed. Principle of rational organization is proposed.
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Wilson, Robert. "Single-Parameter Disaggregated Models." In Nonlinear Pricing. Oxford University PressNew York, NY, 1993. http://dx.doi.org/10.1093/oso/9780195068856.003.0006.

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Abstract The basic principles of nonlinear pricing described in Part I rely on the demand profile to summarize the minimal data required to construct an optimal price schedule. This chapter presents a parallel exposition using explicit models of customers’ preferences or demand behaviors. In these models, individual customers or market segments are characterized by parameters indicating their types, and their benefits or demands are estimated directly as functions of these parameters. Disaggregated models of this sort are frequently used in econometric studies to represent how customers’ deman
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Conference papers on the topic "Nonlinear preference function"

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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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Frischknecht, Bart, Katie Whitefoot, and Panos Papalambros. "Methods for Evaluating Suitability of Econometric Demand Models in Design for Market Systems." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87165.

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This paper articulates some of the challenges for what has been an implicit goal of design for market systems research: To predict demand for differentiated products so that counterfactual experiments can be performed based on changes to the product design (i.e., attributes). We present a set of methods for examining econometric models of consumer demand for their suitability in product design studies. We use these methods to test the hypothesis that automotive demand models that allow for nonlinear horizontal differentiation perform better than the conventional functional forms, which emphasi
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Ting, Jonathan A., Sujata Basyal, and Brendon C. Allen. "Deep Neural Network Based Saturated Adaptive Control of Muscles in a Lower-Limb Hybrid Exoskeleton." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-112415.

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Abstract Hybrid exoskeletons are used to blend the rehabilitative efficacy and mitigate the shortcomings of functional electrical stimulation (FES) and exoskeleton-based rehabilitative solutions. This paper introduces a novel nonlinear controller that may potentially improve the rehabilitative efficiency of a lower limb hybrid exoskeleton by implementing four key features into the FES and exoskeleton controllers. First, the FES input to the user’s muscles is saturated based on user preference to ensure user comfort. Second, rather than discarding the excess control effort from the saturated FE
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