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Journal articles on the topic 'Nonlinear preference function'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

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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2

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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Zhao, Chen, Jiaqi Sun, Ping He, Shaohua Zhang, and Yuqi Ji. "Integrating Risk Preferences into Game Analysis of Price-Making Retailers in Power Market." Energies 16, no. 8 (2023): 3339. http://dx.doi.org/10.3390/en16083339.

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In the restructured electricity market, retailers are intermediaries between the electricity wholesale market and consumers. Considering the uncertainty of wholesale market price, retailers should consider the risks of their profit caused by the uncertain wholesale price when participating in the retail competition. Indeed, retailers’ risk preferences will impact their price bidding strategies. To examine the effects of retailers’ risk preferences on their strategies and equilibrium outcomes in the retail market, an equilibrium model for price-making retailers is proposed by employing the mean

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Phruksaphanrat, Busaba, and Ario Ohsato. "Effective Linear Calculational Method for Nonlinear Optimization with a Convex Polyhedral Objective Function and Linear Constraints." Journal of Advanced Computational Intelligence and Intelligent Informatics 6, no. 1 (2002): 7–18. http://dx.doi.org/10.20965/jaciii.2002.p0007.

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This research proposes an effective linear calculational method based on convex cone concept for solving non-linear optimization problems with a convex polyhedral objective function and linear constraints. One familiar type of convex polyhedral objective functions is a triangular type, which can be normally solved by weighted goal programming (WGP). The necessary preference information of WGP is weights of positive and negative deviational variables. Alternatively, the linear calculational method prefers the other operational way in designing of an objective function by deviational constants,

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BAKER, CURTIS L. "Linear filtering and nonlinear interactions in direction-selective visual cortex neurons: A noise correlation analysis." Visual Neuroscience 18, no. 3 (2001): 465–85. http://dx.doi.org/10.1017/s0952523801183136.

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Spatial and temporal properties related to direction selectivity of both simple and complex type visual cortex neurons were assessed by cross-correlation analysis of their responses to random ternary white noise. This stimulus consisted of multiple randomly placed bars, each colored white, black, or gray with equal probability, which were rerandomized every 5–10 ms. A first-order cross-correlation analysis of a neuron's spike train with the spatiotemporal history of the stimulus provided an estimate of the neuron's linear spatiotemporal filtering properties. A nonlinear correlation analysis me

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Molchanova, E. I., E. N. Korzhova, V. V. Fedorov, and A. D. Portnyagin. "Assessment of the possibility of modeling nonlinear multivariable calibration function using artificial neural networks." Industrial laboratory. Diagnostics of materials 87, no. 10 (2021): 12–17. http://dx.doi.org/10.26896/1028-6861-2021-87-10-12-17.

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The use of artificial neural networks (ANNs) is considered justified when studying the problems that do not have a generally accepted solution algorithm. One of such problems in X-ray fluorescence analysis (XRF) is a control of the metal content in atmospheric air and air of the working area. Determination of the calibration characteristics is raveled by the lack of standard samples of the composition of aerosols collected on the filter. To solve this problem, synthetic calibration samples (CS) were manufactured as a thin organic film containing a powder material of the known chemical composit

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Mansilla, Fernando Marques, Elano Ferreira Arruda, and Roberto Tatiwa Ferreira. "A Note on the Nonlinearities of Brazilian Monetary Policy." International Journal of Economics and Finance 16, no. 5 (2024): 20. http://dx.doi.org/10.5539/ijef.v16n5p20.

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This note analyzes the occurrence of asymmetry in Brazilian monetary policy considering distinct inflation levels. For this purpose, we use data with monthly frequency between 2003 and 2021 and a nonlinear Taylor rule. The results indicate that under the low inflation scenario, the impact of the deviation of inflation expectations to the target is statistically insignificant, revealing a preference by the monetary authority for price stability. Besides, there is a smoothing process in the conduction of Brazilian monetary policy, and the economic activity and the exchange rate are not statistic

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Chadee, Aaron Anil, Xsitaaz T. Chadee, Clyde Chadee, and Festus Otuloge. "Violations at the Reference Point of Discontinuity: Limitations of Prospect Theory and an Alternative Model of Risk Choices." Emerging Science Journal 6, no. 1 (2022): 37–52. http://dx.doi.org/10.28991/esj-2022-06-01-03.

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The tilted S-shaped utility function proposed in Prospect Theory (PT) relied fundamentally on the geometrical notion that there is a discontinuity between gains and losses, and that individual preferences change relative to a reference point. This results in PT having three distinct parameters; concavity, convexity and the reference point represented as a disjoint between the concavity and convexity sections of the curve. The objective of this paper is to examine the geometrical violations of PT at the zero point of reference. This qualitative study adopted a theoretical review of PT and Marko

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Bastin, Fabian, Cinzia Cirillo, and Stephane Hess. "Evaluation of Optimization Methods for Estimating Mixed Logit Models." Transportation Research Record: Journal of the Transportation Research Board 1921, no. 1 (2005): 35–43. http://dx.doi.org/10.1177/0361198105192100105.

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The performances of different simulation-based estimation techniques for mixed logit modeling are evaluated. A quasi–Monte Carlo method (modified Latin hypercube sampling) is compared with a Monte Carlo algorithm with dynamic accuracy. The classic Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization algorithm line-search approach and trust region methods, which have proved to be extremely powerful in nonlinear programming, are also compared. Numerical tests are performed on two real data sets: stated preference data for parking type collected in the United Kingdom, and revealed preference data

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ABO-SINNA, MAHMOUD A., and AZZA H. AMER. "TOPSIS Approach for Solving Bi-Level Non-Linear Fractional MODM Problems." JOURNAL OF ADVANCES IN MATHEMATICS 13, no. 4 (2018): 7353–70. http://dx.doi.org/10.24297/jam.v13i4.6243.

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TOPSIS (technique for order preference similarity to ideal solution) is considered one of the known classical multiple criteria decision making (MCDM) methods to solve bi-level non-linear fractional multi-objective decision making (BL-NFMODM) problems, and in which the objective function at each level is considered nonlinear and maximization type fractional functions. The proposed approach presents the basic terminology of TOPSIS approach and the construction of membership function for the upper level decision variable vectors, the membership functions of the distance functions from the positi

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He, Qizhi, Pingfan Xia, Bo Li, and Jia-Bao Liu. "Evaluating Investors’ Recognition Abilities for Risk and Profit in Online Loan Markets Using Nonlinear Models and Financial Big Data." Journal of Function Spaces 2021 (September 30, 2021): 1–15. http://dx.doi.org/10.1155/2021/5178970.

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Financial big data are obtained by web crawler, and investors’ recognition abilities for risk and profit in online loan markets are researched using heteroskedastic Probit models. The conclusions are obtained as follows: First, the preference for the item is reflected directly in the time and indirectly in the number of participants for being full, and the larger the preference, the shorter the time and the fewer the participants. Second, investors can discriminate the default risk not reflected by the interest rate, and the bigger the default risk, the longer the time and the more participant

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Wang, C., B. Yang, and H. Q. Wang. "Multi-Objective Master Production Schedule for Balanced Production of Manufacturers." International Journal of Simulation Modelling 19, no. 4 (2020): 678–88. http://dx.doi.org/10.2507/ijsimm19-4-co17.

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Focusing on the balanced use of production capacity in the formulation of master production schedule (MPS), this paper sets up a single-product, multi-stage, multi-objective MPS model based on balanced production. Whereas the model aims to achieve multiple objectives through nonlinear integer programming, a genetic algorithm based on automatic transformation (AT-GA) was designed to solve the model. Specifically, the chromosomes were encoded as integers to satisfy the model constraints; the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was adopted to handle the four no

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Martins, André C. R. "Network generation and evolution based on spatial and opinion dynamics components." International Journal of Modern Physics C 30, no. 09 (2019): 1950077. http://dx.doi.org/10.1142/s0129183119500773.

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In this paper, a model for a spatial network evolution based on a Metropolis simulation using an energy function that depends both on the distance between the nodes and the stated preferences is studied. The agents influence their network neighbors using the CODA model, where each agent has a preference between two options based on its probabilistic assessment of which option is the best one. The algorithm generates realistic networks for opinion problems as well as temporal dynamics for those networks. The transition of a random state to an ordered situation, as temperature decreases, leads t

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Su, Xiaogang, George Ekow Quaye, Yishu Wei, et al. "Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees." Mathematics 12, no. 20 (2024): 3190. http://dx.doi.org/10.3390/math12203190.

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Greedy search (GS) or exhaustive search plays a crucial role in decision trees and their various extensions. We introduce an alternative splitting method called smooth sigmoid surrogate (SSS) in which the indicator threshold function used in GS is approximated by a smooth sigmoid function. This approach allows for parametric smoothing or regularization of the erratic and discrete GS process, making it more effective in identifying the true cutoff point, particularly in the presence of weak signals, as well as less prone to the inherent end-cut preference problem. Additionally, SSS provides a c

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Huo, Jiuyuan, and Liqun Liu. "Evaluation Method of Multiobjective Functions’ Combination and Its Application in Hydrological Model Evaluation." Computational Intelligence and Neuroscience 2020 (March 10, 2020): 1–23. http://dx.doi.org/10.1155/2020/8594727.

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Parameter optimization of a hydrological model is intrinsically a high dimensional, nonlinear, multivariable, combinatorial optimization problem which involves a set of different objectives. Currently, the assessment of optimization results for the hydrological model is usually made through calculations and comparisons of objective function values of simulated and observed variables. Thus, the proper selection of objective functions’ combination for model parameter optimization has an important impact on the hydrological forecasting. There exist various objective functions, and how to analyze

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Polansky, Ivan, та Kirill Loginov. "Оптимальная нелинейная фильтрация оценок информационного воздействия в стохастической модели информационного противоборства". Informatics and Automation 22, № 4 (2023): 745–76. http://dx.doi.org/10.15622/ia.22.4.2.

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A computationally efficient algorithmic solution to the problem of optimal nonlinear filtering of information impact estimates in a generalized stochastic model of information warfare is developed in the article. The formed solution is applicable in the presence of heterogeneous rules for measuring the parameters of the information warfare model, on the basis of which a pair of systems of stochastic differential equations is formed. According to the criterion of maximum likelihood according to the determined evolution of the a posteriori conditional probability density function at a given obse

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Dumont, Helene, Alexia Roux-Sibilon, and Valérie Goffaux. "Horizontal face information is the main gateway to the shape and surface cues to familiar face identity." PLOS ONE 19, no. 10 (2024): e0311225. http://dx.doi.org/10.1371/journal.pone.0311225.

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Humans preferentially rely on horizontal cues when recognizing face identity. The reasons for this preference are largely elusive. Past research has proposed the existence of two main sources of face identity information: shape and surface reflectance. The access to surface and shape is disrupted by picture-plane inversion while contrast negation selectively impedes access to surface cues. Our objective was to characterize the shape versus surface nature of the face information conveyed by the horizontal range. To do this, we tracked the effects of inversion and negation in the orientation dom

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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "The method of multi-objective parametric design of magnetic field active canceling robust system for residential multy-story buildings closed to double-circuit overhead power lines." Electrical Engineering & Electromechanics, no. 2 (March 5, 2023): 27–36. http://dx.doi.org/10.20998/2074-272x.2023.2.05.

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Aim. Development the method of multi-objective parametric design for robust system of active canceling of magnetic field based on binary preference relations of local objective for multi-objective minimax optimization problem. Methodology. Spatial location coordinates of the compensating winding and the current in the shielding winding were determined during the preference-based multi-objective parametric design of systems of active canceling based on solution of the vector minimax optimization, in whith the vector objective function calculated based on Biot-Savart's law. The solution of this

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Ngoc Thach, Nguyen. "Macroeconomic Growth in Vietnam Transitioned to Market: An Unrestricted VES Framework." Economies 8, no. 3 (2020): 58. http://dx.doi.org/10.3390/economies8030058.

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The Vietnamese economy has increased at high speed over the transformation decades; however, most recent studies on the economic growth of this country used the Cobb-Douglas or CES (Constant Elasticity of Substitution) production functions, which are unable to explore the relationship between the elasticity of capital-labour substitution and development process, and hence, are not relevant to accessing a dynamic economic system. For that reason, this study is conducted to specify an unrestricted VES (Variable Elasticity of Substitution) production function in a one-sector growth model of Vietn

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Zentani, Abdulhakim Mehemed, Nadiatulhuda Zulkifli, and Arnidza Ramli. "A Weight Influence of Logarithmic and Exponential Functions on the Selection of Wireless Networks using Multi-Criteria Decision-Making Methods." Science Proceedings Series 3, no. 1 (2021): 31–36. http://dx.doi.org/10.31580/sps.v3i1.1931.

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This research aims to study the influence of logarithmic and exponential functions on the multi-criteria decision-making algorithm that changes linear method to nonlinear method. It is carried out to better understand the multi-criteria decision-making, namely the technique for preference by similarity to ideal solution (TOPSIS) algorithm whereby in which these functions may influence the criteria weights during the selection of the best network. The investigation is applied under different network types to evaluate the most optimum network that leads to better throughput, low latency, minimum

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Eschenauer, H. A., and W. Fuchs. "Fiber-Reinforced Sandwich Plates Under Static Loads—Proposals for Their Optimization." Journal of Mechanisms, Transmissions, and Automation in Design 108, no. 2 (1986): 152–58. http://dx.doi.org/10.1115/1.3260796.

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In order to satisfy the permanently increasing specification demands on machines and plants, the structural members and units of the constructions have to be designed in an “optimal” way. Nowadays more and more composite structures are attaining such new fields of application where one-component materials are not able to fulfill the higher demands. Typical examples are light constructions with optimal stiffness at various loadings. In this paper, a detailed investigation of the deformation behavior of a simply supported sandwich plate under static loads is carried out. Then, an optimal design

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Zhang, Min, Xiaojuan Wang, Lei Jin, and Mei Song. "Cascading failure of interdependent networks with dependence groups obeying different distributions." International Journal of Modern Physics C 31, no. 08 (2020): 2050107. http://dx.doi.org/10.1142/s0129183120501077.

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Recent work on the cascading failure of networks with dependence groups assumes that the number of nodes in each dependence group is equal. In this paper, we construct a model on interdependent networks with dependence groups against cascading failure. The size of dependence group is supposed to obey the Poisson Distribution and the Truncated Normal Distribution, respectively. By applying the tools of mean-field approximation and the generating function techniques, the cascading model is theoretically analyzed and the theoretical solutions are nearly consistent with the simulation values. Besi

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B., I. Kuznetsov, B. Nikitina T., V. Bovdui I., V. Voloshko O., V. Kolomiets V., and B. Kobylianskyi B. "The method of multi-objective parametric design of magnetic field active canceling robust system for residential multy-story buildings closed to double-circuit overhead power lines." Electrical Engineering & Electromechanics, no. 2 (March 5, 2023): 27–36. https://doi.org/10.20998/2074-272X.2023.2.05.

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<strong><em>Aim</em></strong><em>. D</em><em>evelopment the method of multi-objective parametric design for robust system of active canceling of magnetic field based on binary preference relations of local objective for multi-objective minimax optimization problem. <strong>Methodology</strong>. Spatial location coordinates of the compensating winding and the current in the shielding winding were determined during the preference-based multi-objective parametric design of systems of active canceling based on solution of the vector minimax optimization, in whith the vector objective function

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Park, Dongjoo, Laurence R. Rilett, and Changho Choi. "A class of multicriteria shortest path problems for real-time in-vehicle routing." Canadian Journal of Civil Engineering 34, no. 9 (2007): 1096–109. http://dx.doi.org/10.1139/l07-013.

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In-route guidance systems fastest path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this paper is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e., Pareto optimal) paths for real-time in-vehicle routing. The basic notion of the proposed approach is that (i) enumerating all nondominated paths is computationally too expensive, (ii) obtaining a stable mathematical representation of the

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Wang, Ning, Mohammed Abouheaf, Wail Gueaieb, and Nabil Nahas. "Model-Free Optimized Tracking Control Heuristic." Robotics 9, no. 3 (2020): 49. http://dx.doi.org/10.3390/robotics9030049.

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Many tracking control solutions proposed in the literature rely on various forms of tracking error signals at the expense of possibly overlooking other dynamic criteria, such as optimizing the control effort, overshoot, and settling time, for example. In this article, a model-free control architectural framework is presented to track reference signals while optimizing other criteria as per the designer’s preference. The control architecture is model-free in the sense that the plant’s dynamics do not have to be known in advance. To this end, we propose and compare four tracking control algorith

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Li, Xia, Yaxin Liang, Peilun Guo, Xinwei Ma, and Yimei Liu. "Driver–passenger guidance model for Chinese freeway service areas based on path selection and parking delay." Journal of Statistical Mechanics: Theory and Experiment 2023, no. 12 (2023): 123401. http://dx.doi.org/10.1088/1742-5468/ad0829.

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Abstract The driver–passenger guidance model proposed in this article is designed for large-scale freeway service areas that integrate various services such as shopping, leisure and catering. The model focuses on analyzing the impact of perceived travel distance and parking delay on path selection and parking space selection to optimize passenger flow efficiency. A perceived travel distance function is used to construct a pedestrian path selection model whose parameters are calibrated by a stated preference survey. An optimal parking space selection model is established based on the analytic h

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Jiang, Xueping, Jen-Mei Chang, and Hui Sun. "Inframarginal Model Analysis of the Evolution of Agricultural Division of Labor." Mathematics 7, no. 12 (2019): 1152. http://dx.doi.org/10.3390/math7121152.

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Division of labor plays a critical role in many parts of agriculture. For example, a specialized division of labor can lead to the improvement of labor productivity, the reduction of production costs, and the innovation of production technology and organization. At the heart of agricultural management is how the comparative advantages of farmers impact their production decision-making behavior, and, consequently, influence the division of labor structure. In this paper, we apply an infra-marginal model to interpret the selection logic of heterogeneous farmers’ specialized production with exoge

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Omari, Sara, Adil Omari, Fares Abu-Dakka, and Mohamed Abderrahim. "EEG Motor Imagery Classification: Tangent Space with Gate-Generated Weight Classifier." Biomimetics 9, no. 8 (2024): 459. http://dx.doi.org/10.3390/biomimetics9080459.

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Individuals grappling with severe central nervous system injuries often face significant challenges related to sensorimotor function and communication abilities. In response, brain–computer interface (BCI) technology has emerged as a promising solution by offering innovative interaction methods and intelligent rehabilitation training. By leveraging electroencephalographic (EEG) signals, BCIs unlock intriguing possibilities in patient care and neurological rehabilitation. Recent research has utilized covariance matrices as signal descriptors. In this study, we introduce two methodologies for co

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Zhu, Hanbo, and Changqing Miao. "Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms." Shock and Vibration 2021 (December 6, 2021): 1–13. http://dx.doi.org/10.1155/2021/8969389.

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In the fragility analysis, researchers mostly chose and constructed seismic intensity measures (IMs) according to past experience and personal preference, resulting in large dispersion between the sample of engineering demand parameter (EDP) and the regression function with IM as the independent variable. This problem needs to be solved urgently. Firstly, the existing 46 types of ground motion intensity measures were taken as a candidate set, and the composite intensity measures (IMs) based on machine learning methods were selected and constructed. Secondly, the modified Park–Ang damage index

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Flores Alarcón, Jorge Luis, Carlos Gabriel Figueroa, Víctor Hugo Jacobo, Fernando Velázquez Villegas, and Rafael Schouwenaars. "Statistical Study of the Bias and Precision for Six Estimation Methods for the Fractal Dimension of Randomly Rough Surfaces." Fractal and Fractional 8, no. 3 (2024): 152. http://dx.doi.org/10.3390/fractalfract8030152.

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The simulation and characterisation of randomly rough surfaces is an important topic in surface science, tribology, geo- and planetary sciences, image analysis and optics. Extensions to general random processes with two continuous variables are straightforward. Several surface generation algorithms are available, and preference for one or another method often depends on the specific scientific field. The same holds for the methods to estimate the fractal dimension D. This work analyses six algorithms for the determination of D as a function of the size of the domain, variance, and the input va

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D., Demin, and Sira O. "Estimation of representation of trunned orthogonal subdesigns of the full factor experiment design." System Research & Information Technologies, no. 3 (February 2, 2010): 84–88. https://doi.org/10.5281/zenodo.4275855.

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A generally accepted and widely used approach to solving the problem of analyzing a system of the "composition - property" type consists in identifying and selecting a set of factors that presumably affect the value of a certain response function. Such a function characterizes the efficiency of the system's functioning and is usually formalized in the form of a regression equation that is nonlinear in terms of factors, but linear in terms of parameters. Under the conditions of a large number of influencing factors, it is difficult to solve practical problems of this type due to i

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Hutcheon, B., R. M. Miura, Y. Yarom, and E. Puil. "Low-threshold calcium current and resonance in thalamic neurons: a model of frequency preference." Journal of Neurophysiology 71, no. 2 (1994): 583–94. http://dx.doi.org/10.1152/jn.1994.71.2.583.

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1. We constructed a mathematical model of the subthreshold electrical behavior of neurons in the nucleus mediodorsalis thalami (MDT) to elucidate the basis of a Ni(2+)-sensitive low-frequency (2-4 Hz) resonance found previously in these neurons. 2. A model that included the low- and high-threshold Ca2+ currents (IT and IL), a Ca(2+)-activated K+ current (IC), a rapidly inactivating K+ current (IA), a voltage-dependent K+ current which we call IKx, and a voltage-independent leak current (Il), successfully simulated the low-threshold spike observed in MDT neurons. This model (the MDT model) and

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Ghamami, Mehrnaz, and MohammadHossein (Sam) Shojaei. "Introducing a Design Framework for a Multi-Modal Public Transportation System, Focusing on Mixed-Fleet Bike-Sharing Systems." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 36 (2018): 103–15. http://dx.doi.org/10.1177/0361198118799170.

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Bike-sharing is increasingly becoming more popular. Electric bikes as an emerging transportation technology have extended range and are less physically demanding, compared with regular bicycles, thus they can be incorporated into regular bike-sharing systems to attract more users. This study aims at capturing the users’ preference, while considering investors’ limitations and societal cost and benefits of each mode. The problem is defined as a mixed-integer non-liner problem, with nonlinear objective function and constraints. Because of the computationally challenging nature of the problem, a

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Gao, Xiaoyan. "Development Model of College English Education Service Talents Based on Nonlinear Random Matrix." Mathematical Problems in Engineering 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/2725506.

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The development of artificial intelligence makes people’s life and work easier and more effective, and computer-based online exams and marking not only improve students’ learning efficiency but also reduce the pressure of teachers’ marking work. For objective questions, marking has gone from manual marking to cursor reader marking to computerized character matching, and the correct rate of marking has soared to 100%; for subjective questions, foreign systems such as PEG and E-rater have been used, and domestic systems such as those using English large corpus similarity matching and those based

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Gooler, D. M., and A. S. Feng. "Temporal coding in the frog auditory midbrain: the influence of duration and rise-fall time on the processing of complex amplitude-modulated stimuli." Journal of Neurophysiology 67, no. 1 (1992): 1–22. http://dx.doi.org/10.1152/jn.1992.67.1.1.

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1. Single-unit recordings were made in the auditory midbrain, the torus semicircularis (TS) of the northern leopard frog, to independently characterize the processing of different temporal attributes (signal duration, rise-fall time, and rate of amplitude modulation) of natural sounds and to investigate how these temporal variables interact to produce the observed responses to complex amplitude-modulated (AM) signals. Response functions, on the basis of mean spike count, were derived and categorized to describe the unit's temporal response characteristics to each of the variables. 2. To charac

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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "Optimization of spatial arrangement of magnetic field sensors of closed loop system of overhead power lines magnetic field active silencing." Electrical Engineering & Electromechanics, no. 4 (June 27, 2023): 26–34. http://dx.doi.org/10.20998/2074-272x.2023.4.04.

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Aim. Development of a method for optimization of spatial arrangement and angular position of magnetic field sensors of a closed system to ensure maximum efficiency of active silencing canceling of the magnetic field generated by overhead power lines. Methodology. Spatial arrangement and angular position of magnetic field sensors of closed loop system of overhead power lines magnetic field active silencing determined based on binary preference relations of local objective for multi-objective minimax optimization problem, in whith the vector objective function calculated based on Biot–Savart law

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Wang, Zhiwen, Amirul Syafiq Sadun, Nor Anija Jalaludin, et al. "Particle Swarm Optimization-Based Model-Free Adaptive Control for Time-Varying Batch Processes." International Journal of Automotive and Mechanical Engineering 21, no. 2 (2024): 11263–75. http://dx.doi.org/10.15282/ijame.21.2.2024.7.0870.

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The batch process is a production process with strong nonlinearity, which usually suffers from time-varying parameters and uncertainty of disturbances. Concerning the mentioned problems, this study proposes to investigate the application of the particle swarm optimization-based model-free adaptive control (PSO-MFAC) method for time-varying batch processes. Model-Free Adaptive Control (MFAC) is a data-driven control method, which is one of the promising methods to solve the nonlinear process. Firstly, a Full Form Dynamic Linearization Model-Free Adaptive Control method has been adopted for the

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B., I. Kuznetsov, B. Nikitina T., V. Bovdui I., V. Voloshko O., V. Kolomiets V., and B. Kobylianskyi B. "Optimization of spatial arrangement of magnetic field sensors of closed loop system of overhead power lines magnetic field active silencing." Electrical Engineering & Electromechanics 2023, no. 4 (2023): 26–34. https://doi.org/10.20998/2074-272X.2023.4.04.

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<strong><em>Aim.</em></strong> <em>Development of a method for optimization</em> <em>of spatial arrangement and angular </em><em>position of magnetic field sensors of a closed system to ensure maximum efficiency of active silencing canceling of the magnetic field generated by overhead power lines. <strong>Methodology</strong>. Spatial arrangement and angular position of magnetic field sensors of closed loop system of overhead power lines magnetic field active silencing determined based on binary preference relations of local objective for multi-objective minimax optimizatio

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Yarovenko, Hanna, Olena Kolotilina та Alona Svitlychna. "Аssessment of the convergence level of the cyber security system and counteraction of money laundering". 14, № 14 (30 грудня 2021): 119–30. http://dx.doi.org/10.26565/2310-9513-2021-14-12.

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The growth of financial and cyber fraud leads to the destabilization of the country's financial sector and negatively affects the development of their economy, which requires the development and implementation of effective tools and measures at the level of public administration. The convergence of the cybersecurity system and counteraction of money laundering and terrorist financing is a promising area in the fight against financial fraud. The subject of research in the article is a scientific and methodological approach to forming integrated indicators for assessing the state of various syst

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Gryzin, S. V. "The research of the influence of digital exchange in the stabilization system of the unmanned aerial vehicle on the dynamic characteristics of the steering actuator." Civil Aviation High Technologies 22, no. 5 (2019): 54–66. http://dx.doi.org/10.26467/2079-0619-2019-22-5-54-66.

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When designing a stabilization system for highly maneuverable unmanned aerial vehicles (UAVs), one of the relevant tasks is to impose requirements on the dynamic characteristics and control methods of the steering actuators, which will ensure the required stability margins of the stabilization system as part of the UAV control system. Currently, there is an increasing preference for microcontroller method of electric actuator control and digital exchange between the control system and the steering actuators. One of the reasons for the reduction of stability margins of the stabilization system

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Hoderlein, Stefan, and Arthur Lewbel. "REGRESSOR DIMENSION REDUCTION WITH ECONOMIC CONSTRAINTS: THE EXAMPLE OF DEMAND SYSTEMS WITH MANY GOODS." Econometric Theory 28, no. 5 (2012): 1087–120. http://dx.doi.org/10.1017/s0266466612000412.

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Microeconomic theory often yields models with multiple nonlinear equations, nonseparable unobservables, nonlinear cross equation restrictions, and many potentially multicolinear covariates. We show how statistical dimension reduction techniques can be applied in models with these features. In particular, we consider estimation of derivatives of average structural functions in large consumer demand systems, which depend nonlinearly on the prices of many goods. Utility maximization imposes nonlinear cross equation constraints including Slutsky symmetry, and preference heterogeneity yields demand

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Li, Shugang, Boyi Zhu, Yuqi Zhang, Fang Liu, and Zhaoxu Yu. "A Two-Stage Nonlinear User Satisfaction Decision Model Based on Online Review Mining: Considering Non-Compensatory and Compensatory Stages." Journal of Theoretical and Applied Electronic Commerce Research 19, no. 1 (2024): 272–96. http://dx.doi.org/10.3390/jtaer19010015.

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Mining user satisfaction decision stages from online reviews is helpful for understanding user preferences and conducting user-centered product improvements. Therefore, this study develops a two-stage nonlinear user satisfaction decision model (USDM). First, we use word2vec technology and lexicon-based sentiment analysis to mine the sentiment polarity of each product attribute in the reviews. Then, we develop KANO mapping rules using utility functions to classify consumer preferences based on attribute importance. Based on this, a two-stage nonlinear USDM is developed to describe post-purchase

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