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Journal articles on the topic 'Dynamic discrete choice experiments'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Working, Amanda, Mohammed Alqawba, and Norou Diawara. "Dynamic Attribute-Level Best Worst Discrete Choice Experiments." International Journal of Marketing Studies 11, no. 2 (May 23, 2019): 1. http://dx.doi.org/10.5539/ijms.v11n2p1.

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Dynamic modelling of decision maker choice behavior of best and worst in discrete choice experiments (DCEs) has numerous applications. Such models are proposed under utility function of decision maker and are used in many areas including social sciences, health economics, transportation research, and health systems research. After reviewing references on the study of such experiments, we present example in DCE with emphasis on time dependent best-worst choice and discrimination between choice attributes. Numerical examples of the dynamic DCEs are simulated, and the associated expected utilities over time of the choice models are derived using Markov decision processes. The estimates are computationally consistent with decision choices over time.

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Cui, Jing, and Patrik Haslum. "Dynamic Controllability of Controllable Conditional Temporal Problems with Uncertainty." Journal of Artificial Intelligence Research 64 (February 28, 2019): 445–95. http://dx.doi.org/10.1613/jair.1.11375.

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Dynamic Controllability (DC) of a Simple Temporal Problem with Uncertainty (STPU) uses a dynamic decision strategy, rather than a fixed schedule, to tackle temporal uncertainty. We extend this concept to the Controllable Conditional Temporal Problem with Uncertainty (CCTPU), which extends the STPU by conditioning temporal constraints on the assignment of controllable discrete variables. We define dynamic controllability of a CCTPU as the existence of a strategy that decides on both the values of discrete choice variables and the scheduling of controllable time points dynamically. This contrasts with previous work, which made a static assignment of choice variables and dynamic decisions over time points only. We propose an algorithm to find such a fully dynamic strategy. The algorithm computes the "envelope" of outcomes of temporal uncertainty in which a particular assignment of discrete variables is feasible, and aggregates these over all choices. When an aggregated envelope covers all uncertain situations of the CCTPU, the problem is dynamically controllable. However, the algorithm is complete only under certain assumptions. Experiments on an existing set of CCTPU benchmarks show that there are cases in which making both discrete and temporal decisions dynamically it is feasible to satisfy the problem constraints while assigning the discrete variables statically it is not.

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Cui, Jing, and Patrik Haslum. "Dynamic Controllability of Controllable Conditional Temporal Problems with Uncertainty." Proceedings of the International Conference on Automated Planning and Scheduling 27 (June 5, 2017): 61–69. http://dx.doi.org/10.1609/icaps.v27i1.13820.

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Dynamic Controllability (DC) of a Simple Temporal Problem with Uncertainty (STPU) uses a dynamic decision strategy, rather than a fixed schedule, to tackle temporal uncertainty. We extend this concept to the Controllable Conditional Temporal Problem with Uncertainty (CCTPU), which extends the STPU by conditioning temporal constraints on the assignment of controllable discrete variables. We define dynamic controllability of a CCTPU as the existence of a strategy that decides on both the values of discrete choice variables and the scheduling of controllable time points dynamically. This contrasts with previous work, which made a static assignment of choice variables and dynamic decisions over time points only. We propose an algorithm to find such a fully dynamic strategy. The algorithm computes the ''envelope'' of outcomes of temporal uncertainty in which a particular assignment of discrete variables is feasible, and aggregates these over all choices. When an aggregated envelope covers all uncertain situations of the CCTPU, the problem is dynamically controllable. However, the algorithm is not complete. Experiments on an existing set of CCTPU benchmarks show that there are cases in which making both discrete and temporal decisions dynamically it is feasible to satisfy the problem constraints, while assigning the discrete variables statically it is not.

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Oh, Jun-Seok, Cristián E. Cortés, and Will Recker. "Effects of Less-Equilibrated Data on Travel Choice Model Estimation." Transportation Research Record: Journal of the Transportation Research Board 1831, no. 1 (January 2003): 131–40. http://dx.doi.org/10.3141/1831-15.

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Most discrete choice models assume steady state conditions and a fully equilibrated system when estimating unknown coefficients from real-world data. However, the estimated model can be biased when the data set used for the model estimation was drawn from non- or less-equilibrated traveler behavior. The resulting biased model could lead to a misunderstanding of the system. Such effects on discrete choice model estimation were examined by performing Monte Carlo simulation experiments. A day-to-day dynamic evolutionary framework was used to observe changes in traveler’s choice and to compare the estimated results during the adjustment process with the true behavior parameters.

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Mai, Tien, and Arunesh Sinha. "Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (June 28, 2022): 5141–49. http://dx.doi.org/10.1609/aaai.v36i5.20448.

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The quantal response (QR) model is widely used in Stackelberg security games (SSG) to model a bounded rational adversary. The QR model is a model of human response from among a large variety of prominent models known as discrete choice models. QR is the simplest type of discrete choice models and does not capture commonly observed phenomenon such as correlation among choices. We introduce the nested QR adversary model (based on nested logit model in discrete choice theory) in SSG which addresses shortcoming of the QR model. We present tractable approximation of the resulting equilibrium problem with nested QR adversary. We do so by deriving an interesting property of the equilibrium problem, namely a loosely coupled split into nested problems that mirrors the nested decision making by the adversary in the nested QR model. We show that each separate nested problem can be approximated efficiently and that the loosely coupled overall problem can be solved approximately by formulating it as a discretized version of a continuous dynamic program. Finally, we conduct experiments that show the scalability and parallelizability of our approach, as well as advantages of the nested QR model.

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Chen, Lingjuan, Yu Wang, and Dongfang Ma. "A Dynamic Day-To-Day Departure Time and Route Choice Model for Bounded-Rational Individuals." Mathematical Problems in Engineering 2021 (April 7, 2021): 1–15. http://dx.doi.org/10.1155/2021/6686843.

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Accurate prediction of travellers’ day-to-day departure time and route choice is critical in advanced traffic management systems. There have been several related works about route choice with the assumption that the departure time for individual travellers is known beforehand. With real-time traffic state information provided by navigation systems and previous historical experience, travellers will dynamically update their departure time, which is neglected in existing works. In this study, we aim to describe travellers’ spatial-temporary choice behaviour taking navigation information into account and propose a bounded-rational day-to-day dynamic learning and adjustment model. The new model contains three steps. First, the real-time navigation guidance on each discrete day is obtained, and the self-learned experience of travellers’ choices with navigation information is presented; then, the day-to-day revision process of the choices is derived to maximize departure and route choice prospect; next, by aggregating each individual’s behaviour and calculating route choice probability, a bounded-rational continuous day-to-day dynamic model is provided. Numerical experiments suggest that the proposed model converges to a spatial-temporal oscillating equilibrium not a fixed-point stable status, and the final equilibrium trend is different from classical user equilibrium. The findings of the study are helpful to improve the prediction accuracy of traffic state in urban street networks.

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Araña, Jorge E., and Carmelo J. León. "Dynamic hypothetical bias in discrete choice experiments: Evidence from measuring the impact of corporate social responsibility on consumers demand." Ecological Economics 87 (March 2013): 53–61. http://dx.doi.org/10.1016/j.ecolecon.2012.12.005.

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Nittas, Vasileios, Margot Mütsch, Julia Braun, and Milo Alan Puhan. "Self-Monitoring App Preferences for Sun Protection: Discrete Choice Experiment Survey Analysis." Journal of Medical Internet Research 22, no. 11 (November 27, 2020): e18889. http://dx.doi.org/10.2196/18889.

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Background The availability and use of health apps continues to increase, revolutionizing the way mobile health interventions are delivered. Apps are increasingly used to prevent disease, improve well-being, and promote healthy behavior. On a similar rise is the incidence of skin cancers. Much of the underlying risk can be prevented through behavior change and adequate sun protection. Self-monitoring apps have the potential to facilitate prevention by measuring risk (eg, sun intensity) and encouraging protective behavior (eg, seeking shade). Objective Our aim was to assess health care consumer preferences for sun protection with a self-monitoring app that tracks the duration and intensity of sun exposure and provides feedback on when and how to protect the skin. Methods We conducted an unlabeled discrete choice experiment with 8 unique choice tasks, in which participants chose among 2 app alternatives, consisting of 5 preidentified 2-level attributes (self-monitoring method, privacy control, data sharing with health care provides, reminder customizability, and costs) that were the result of a multistep and multistakeholder qualitative approach. Participant preferences, and thus, the relative importance of attributes and their levels were estimated using conditional logit modeling. Analyses consisted of 200 usable surveys, yielding 3196 observations. Results Our respondents strongly preferred automatic over manually operated self-monitoring (odds ratio [OR] 2.37, 95% CI 2.06-2.72) and no cost over a single payment of 3 Swiss francs (OR 1.72, 95% CI 1.49-1.99). They also preferred having over not having the option of sharing their data with a health care provider of their choice (OR 1.66, 95% CI 1.40-1.97), repeated over single user consents, whenever app data are shared with commercial thirds (OR 1.57, 95% CI 1.31-1.88), and customizable over noncustomizable reminders (OR 1.30, 95% CI 1.09-1.54). While most participants favored thorough privacy infrastructures, the attribute of privacy control was a relatively weak driver of app choice. The attribute of self-monitoring method significantly interacted with gender and perceived personal usefulness of health apps, suggesting that female gender and lower perceived usefulness are associated with relatively weaker preferences for automatic self-monitoring. Conclusions Based on the preferences of our respondents, we found that the utility of a self-monitoring sun protection app can be increased if the app is simple and adjustable; requires minimal effort, time, or expense; and has an interoperable design and thorough privacy infrastructure. Similar features might be desirable for preventive health apps in other areas, paving the way for future discrete choice experiments. Nonetheless, to fully understand these preference dynamics, further qualitative or mixed method research on mobile self-monitoring-based sun protection and broader preventive mobile self-monitoring is required. International Registered Report Identifier (IRRID) RR2-10.2196/16087

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Lee, Donghoon, Kunchul Hwang, Sangil Lee, and Won-young Yun. "An Application of Surrogate and Resampling for the Optimization of Success Probability from Binary-Response Type Simulation." Journal of the Korea Institute of Military Science and Technology 25, no. 4 (August 5, 2022): 412–24. http://dx.doi.org/10.9766/kimst.2022.25.4.412.

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Since traditional derivative-based optimization for noisy simulation shows bad performance, evolutionary algorithms are considered as substitutes. Especially in case when outputs are binary, more simulation trials are needed to get near-optimal solution since the outputs are discrete and have high and heterogeneous variance. In this paper, we propose a genetic algorithm called SARAGA which adopts dynamic resampling and fitness approximation using surrogate. SARAGA reduces unnecessary numbers of expensive simulations to estimate success probabilities estimated from binary simulation outputs. SARAGA allocates number of samples to each solution dynamically and sometimes approximates the fitness without additional expensive experiments. Experimental results show that this novel approach is effective and proper hyper parameter choice of surrogate and resampling can improve the performance of algorithm.

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Dyvak, Mykola, Oleksandr Papa, Andrii Melnyk, Andriy Pukas, Nataliya Porplytsya, and Artur Rot. "Interval Model of the Efficiency of the Functioning of Information Web Resources for Services on Ecological Expertise." Mathematics 8, no. 12 (November 26, 2020): 2116. http://dx.doi.org/10.3390/math8122116.

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Mathematical models of the efficiency dynamics of information web resources are considered in this paper. The application of interval discrete models in the form of difference equations is substantiated and the approach to estimation of the model parameters is proposed. The proposed approach is based on the artificial bee colony algorithm (ABCA). A number of experimental studies have been carried out based on data on the functioning of web resources related to environmental monitoring services. The indicator of an information web resource user’s activity has been investigated. Three cases of model building in the form of difference equations as interval discrete models (IDM) have been considered. They vary in the general kind of expression. As a result of the computational experiments, it is shown that the adequacy of a model depends on the expression of the difference equation. In the case of its incorrect choice, the proposed method of parameters’ identification may be ineffective. The obtained interval discrete model in the difference equation form, which describes the efficiency of a web resource, makes it possible to optimize business processes in an organization that uses this web resource, as well as optimally allocate organizational resources and the workload of employees of the administrative service center. Based on the conducted experiments, the efficiency of the proposed model’s application is confirmed.

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Verelst, Frederik, Roselinde Kessels, Lander Willem, and Philippe Beutels. "No Such Thing as a Free-Rider? Understanding Drivers of Childhood and Adult Vaccination through a Multicountry Discrete Choice Experiment." Vaccines 9, no. 3 (March 16, 2021): 264. http://dx.doi.org/10.3390/vaccines9030264.

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Increased vaccine hesitancy and refusal negatively affects vaccine uptake, leading to the reemergence of vaccine preventable diseases. We aim to quantify the relative importance of factors people consider when making vaccine decisions for themselves, or for their child, with specific attention for underlying motives arising from context, such as required effort (accessibility) and opportunism (free riding on herd immunity). We documented attitudes towards vaccination and performed a discrete choice experiment in 4802 respondents in The United Kingdom, France and Belgium, eliciting preferences for six attributes: (1) vaccine effectiveness, (2) vaccine preventable disease burden, (3) vaccine accessibility in terms of copayment, vaccinator and administrative requirements, (4) frequency of mild vaccine-related side-effects, (5) vaccination coverage in the country’s population and (6) local vaccination coverage in personal networks. We distinguished adults deciding on vaccination for themselves from parents deciding for their youngest child. While all attributes were found to be significant, vaccine effectiveness and accessibility stood out in all (sub)samples, followed by vaccine preventable disease burden. We confirmed that people attach more value to severity of disease compared to its frequency, and discovered that peer influence dominates free-rider motives, especially for the vaccination of children. These behavioral data are insightful for policy and are essential to parameterize dynamic vaccination behavior in simulation models. In contrast to what most game theoretical models assume, social norms dominate free-rider incentives. Policy-makers and healthcare workers should actively communicate on high vaccination coverage, and draw attention to the effectiveness of vaccines while optimizing their practical accessibility.

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Jerbi, Abdessalem, Wafik Hachicha, Awad M. Aljuaid, Neila Khabou Masmoudi, and Faouzi Masmoudi. "Multi-Objective Design Optimization of Flexible Manufacturing Systems Using Design of Simulation Experiments: A Comparative Study." Machines 10, no. 4 (March 30, 2022): 247. http://dx.doi.org/10.3390/machines10040247.

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One of the basic components of Industry 4.0 is the design of a flexible manufacturing system (FMS), which involves the choice of parameters to optimize its performance. Discrete event simulation (DES) models allow the user to understand the operation of dynamic and stochastic system performance and to support FMS diagnostics and design. In combination with DES models, optimization methods are often used to search for the optimal designs, which, above all, involve more than one objective function to be optimized simultaneously. These methods are called the multi-objective simulation–optimization (MOSO) method. Numerous MOSO methods have been developed in the literature, which spawned many proposed MOSO methods classifications. However, the performance of these methods is not guaranteed because there is an absence of comparative studies. Moreover, previous classifications have been focused on general MOSO methods and rarely related to the specific area of manufacturing design. For this reason, a new conceptual classification of MOSO used in FMS design is proposed. After that, four MOSO methods are selected, according to this classification, and compared through a detailed case study related to the FMS design problem. All of these methods studied are based on Design of Experiments (DoE). Two of them are metamodel-based approaches that integrate Goal Programming (GP) and Desirability Function (DF), respectively. The other two methods are not metamodel-based approaches, which integrate Gray Relational Analysis (GRA) and the VIKOR method, respectively. The comparative results show that the GP and VIKOR methods can result in better optimization than DF and GRA methods. Thus, the use of the simulation metamodel cannot prove its superiority in all situations.

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Husain, Masud, Stefan Treue, and Richard A. Andersen. "Surface Interpolation in Three-Dimensional Structure-from-Motion Perception." Neural Computation 1, no. 3 (September 1989): 324–33. http://dx.doi.org/10.1162/neco.1989.1.3.324.

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Although it is appreciated that humans can use a number of visual cues to perceive the three-dimensional (3-D) shape of an object, for example, luminance, orientation, binocular disparity, and motion, the exact mechanisms employed are not known (De Yoe and Van Essen 1988). An important approach to understanding the computations performed by the visual system is to develop algorithms (Marr 1982) or neural network models (Lehky and Sejnowski 1988; Siegel 1987) that are capable of computing shape from specific cues in the visual image. In this study we investigated the ability of observers to see the 3-D shape of an object using motion cues, so called structure-from-motion (SFM). We measured human performance in a two-alternative forced choice task using novel dynamic random-dot stimuli with limited point lifetimes. We show that the human visual system integrates motion information spatially and temporally (across several point lifetimes) as part of the process for computing SFM. We conclude that SFM algorithms must include surface interpolation to account for human performance. Our experiments also provide evidence that local velocity information, and not position information derived from discrete views of the image (as proposed by some algorithms), is used to solve the SFM problem by the human visual system.

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Kostenko, Vladimir V., Nikita S. Belykh, Maksim V. Chetchuev, Alexander S. Shepel, and Vladimir P. Fedorov. "Development of model freight magnetic levitation terminal." Transportation systems and technology 3, no. 3 (September 15, 2017): 39–53. http://dx.doi.org/10.17816/transsyst20173339-53.

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On the basis of schemes of cargo magnetic levitation stations, developed by the specialists of the Department of "Railway stations and junctions" of Emperor Alexander I St. Petersburg State Transport University, and the technology to transport goods over discrete-continuous principles created a model that allows to perform dynamic experiments to identify significant design parameters and performance of magnetic levitation terminals. Goal: To identify dependencies of key operating parameters of freight terminals required for their design and choice of rational performance of basic elements and devices. Method: In order to solve this problem, it is proposed to use a simulation method by means of a programme AnyLogic. Results: The technological algorithm of a freight station was developed, on the basis of which in the software environment of AnyLogic of the Russian company “the AnyLogic Company” the simulation model was built, and necessary report data were obtained - the required number and capacity of loading and unloading equipment, annual turnover of terminal, the average time spent on the platforms at the station and unproductive downtime of magnetic levitation platforms. Practical importance: The model verification has shown that the proposed simulation method allows to determine and justify the required parameters of the freight terminal of magnetic levitation lines, which will ensure rational spending of the funds for their construction and required processing ability.

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Lei, Zhou, Esteban Rougier, Earl E. Knight, Luke Frash, James William Carey, and Hari Viswanathan. "A non-locking composite tetrahedron element for the combined finite discrete element method." Engineering Computations 33, no. 7 (October 3, 2016): 1929–56. http://dx.doi.org/10.1108/ec-09-2015-0268.

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Purpose In order to avoid the problem of volumetric locking often encountered when using constant strain tetrahedral finite elements, the purpose of this paper is to present a new composite tetrahedron element which is especially designed for the combined finite-discrete element method (FDEM). Design/methodology/approach A ten-noded composite tetrahedral (COMPTet) finite element, composed of eight four-noded low order tetrahedrons, has been implemented based on Munjiza’s multiplicative decomposition approach. This approach naturally decomposes deformation into translation, rotation, plastic stretches, elastic stretches, volumetric stretches, shear stretches, etc. The problem of volumetric locking is avoided via a selective integration approach that allows for different constitutive components to be evaluated at different integration points. Findings A number of validation cases considering different loading and boundary conditions and different materials for the proposed element are presented. A practical application of the use of the COMPTet finite element is presented by quantitative comparison of numerical model results against simple theoretical estimates and results from acrylic fracturing experiments. All of these examples clearly show the capability of the composite element in eliminating volumetric locking. Originality/value For this tetrahedral element, the combination of “composite” and “low order sub-element” properties are good choices for FDEM dynamic fracture propagation simulations: in order to eliminate the volumetric locking, only the information from the sub-elements of the composite element are needed which is especially convenient for cases where re-meshing is necessary, and the low order sub-elements will enable robust contact interaction algorithms, which maintains both relatively high computational efficiency and accuracy.

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Eckenhoff, Kevin, Patrick Geneva, and Guoquan Huang. "Closed-form preintegration methods for graph-based visual–inertial navigation." International Journal of Robotics Research 38, no. 5 (April 2019): 563–86. http://dx.doi.org/10.1177/0278364919835021.

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In this paper, we propose a new analytical preintegration theory for graph-based sensor fusion with an inertial measurement unit (IMU) and a camera (or other aiding sensors). Rather than using discrete sampling of the measurement dynamics as in current methods, we derive the closed-form solutions to the preintegration equations, yielding improved accuracy in state estimation. We advocate two new different inertial models for preintegration: (i) the model that assumes piecewise constant measurements; and (ii) the model that assumes piecewise constant local true acceleration. Through extensive Monte Carlo simulations, we show the effect that the choice of preintegration model has on estimation performance. To validate the proposed preintegration theory, we develop both direct and indirect visual–inertial navigation systems (VINSs) that leverage our preintegration. In the first, within a tightly coupled, sliding-window optimization framework, we jointly estimate the features in the window and the IMU states while performing marginalization to bound the computational cost. In the second, we loosely couple the IMU preintegration with a direct image alignment that estimates relative camera motion by minimizing the photometric errors (i.e., image intensity difference), allowing for efficient and informative loop closures. Both systems are extensively validated in real-world experiments and are shown to offer competitive performance to state-of-the-art methods.

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Broska, Lisa Hanna, Stefan Vögele, Hawal Shamon, and Inga Wittenberg. "On the Future(s) of Energy Communities in the German Energy Transition: A Derivation of Transformation Pathways." Sustainability 14, no. 6 (March 8, 2022): 3169. http://dx.doi.org/10.3390/su14063169.

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Active participation of citizens in the sustainable energy transition—particularly in energy communities—is explicitly desired by the European Union and considered vital for a successful transformation of Europe’s energy system. Currently, energy communities, i.e., citizen-led groups generating energy from renewable sources can be found across Europe, though current numbers are small. However, it is expected that the majority of EU households will be active in some form in the generation of energy by 2050. In order to understand how such a development could come about, and if desired, how it could be ensured, we developed and applied a quasi-dynamic model using the Cross-Impact Balance (CIB) approach and with it analyzed and assessed such a transition in detail. Data for the CIB model was derived from case studies, interviews, three surveys including two discrete choice experiments, expert workshops, and complementary secondary data. A central consideration of the model is a differentiated representation of the heterogeneity of actors in society and their interactions. Main results obtained from the application of the model are possible transformation pathways of citizen participation in the energy transition of Germany. A key finding was that if current trends continue, a citizen-driven energy transition based on energy communities will unlikely be successful. We conclude that several framework conditions must change simultaneously from the status quo so that different social groups in society can be active in the generation of energy. These include changes such as the abolition of hindering regulations and the expansion of financial support schemes with a focus on lower socioeconomic groups. Furthermore, only in a combination of conducive social factors such as neighborhood cohesion and conducive social influence, as well as favorable economic conditions, can energy communities become an important player in Germany’s future energy system.

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Xu, Jingyan, Dmitry Budker, and Danila A. Barskiy. "Visualization of dynamics in coupled multi-spin systems." Magnetic Resonance 3, no. 2 (August 9, 2022): 145–60. http://dx.doi.org/10.5194/mr-3-145-2022.

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Abstract. Since the dawn of quantum mechanics, ways to visualize spins and their interactions have attracted the attention of researchers and philosophers of science. In this work we present a generalized measurement-based 3D-visualization approach for describing dynamics in strongly coupled spin ensembles. The approach brings together angular momentum probability surfaces (AMPS), Husimi Q functions, and DROPS (discrete representations of operators for spin systems) and finds particular utility when the total angular momentum basis is used for describing Hamiltonians. We show that, depending on the choice of a generalized measurement operator, the plotted surfaces either represent probabilities of finding the maximal projection of an angular momentum along any direction in space or represent measurable coherences between the states with different total angular momenta. Such effects are difficult to grasp by looking at (time-dependent) numerical values of density-matrix elements. The approach is complete in a sense that there is one-to-one correspondence between the plotted surfaces and the density matrix. Three examples of nuclear spin dynamics in two-spin systems are visualized: (i) a zero- to ultralow-field (ZULF) nuclear magnetic resonance (NMR) experiment in the presence of a magnetic field applied perpendicularly to the sensitive axis of the detector, (ii) interplay between chemical exchange and spin dynamics during high-field signal amplification by reversible exchange (SABRE), and (iii) a high-field spin-lock-induced crossing (SLIC) sequence, with the initial state being the singlet state between two spins. The presented visualization technique facilitates intuitive understanding of spin dynamics during complex experiments as exemplified here by the considered cases. Temporal sequences (“the movies”) of such surfaces show phenomena like interconversion of spin order between the coupled spins and are particularly relevant in ZULF NMR.

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Heckman, James J., and Salvador Navarro. "Dynamic discrete choice and dynamic treatment effects." Journal of Econometrics 136, no. 2 (February 2007): 341–96. http://dx.doi.org/10.1016/j.jeconom.2005.11.002.

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Huseynzade, Sh S. "MODELING OF INTELLECTUAL CONTROL SYSTEMS WITH APPLICATION OF MODIFIED FUZZY COLORED PETRI NETS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 196 (October 2020): 30–37. http://dx.doi.org/10.14489/vkit.2020.10.pp.030-037.

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A modification of the Petri nets is proposed  a Fuzzy Colored Petri Net (FCPN), leading to the integration of Fuzzy Petri Nets (FPN) and Colored Petri Nets (CPN). Separately, the shortcomings of FPN and CPN and the advantages the developed FCPN for modeling intelligent control systems are identified and justified. In the developed modified FCPN the membership functions of the terms of a linguistic variable are applied to markers of the CPN as color and fuzzy existence conditions are assigned to arcs depending on the values of the linguistic variable. As a result, FCPN with enhanced capabilities was obtained, which eliminates the shortcomings of CPN and FPN. The FCPN and a simulation approach are defined, which includes a reasoning algorithm, as well as a detailed procedure for modeling and analysis of nonlinear discrete objects. The structure is organized in the CPN Tools system with the synchronization of the CPN ML (Markup Language) language with the MatLab package. The choice of membership function and fuzzification of term values is performed in the Fuzzy Toolbox application of the MatLab system. The proposed approach is illustrated by simple example, including the control of water pumps, to maintain the required water level in the pumping well. A model is developed for the automation of adaptive fuzzy control of water pumps based on modified FCPN. Based on the criteria for the operation of water pumps according to the water levels in the pumping well, many positions and transitions of the FCPN are formed. Describing the necessary behavior of the system by the relations between the positions and transitions of the FCPN using the logic “If ... Then ...” an adaptation algorithm is developed. Based on the algorithm, the matrices of input and output incidents are determined. The graph model of the FCPN is developed. Visualization of the model is implemented in the CPN Tools system. The computer simulations and net analysis experiments demonstrate the convenience of the developed approach when modeling the intelligent control of dynamic systems.

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Huseynzade, Sh S. "MODELING OF INTELLECTUAL CONTROL SYSTEMS WITH APPLICATION OF MODIFIED FUZZY COLORED PETRI NETS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 196 (October 2020): 30–37. http://dx.doi.org/10.14489/vkit.2020.10.pp.030-037.

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A modification of the Petri nets is proposed  a Fuzzy Colored Petri Net (FCPN), leading to the integration of Fuzzy Petri Nets (FPN) and Colored Petri Nets (CPN). Separately, the shortcomings of FPN and CPN and the advantages the developed FCPN for modeling intelligent control systems are identified and justified. In the developed modified FCPN the membership functions of the terms of a linguistic variable are applied to markers of the CPN as color and fuzzy existence conditions are assigned to arcs depending on the values of the linguistic variable. As a result, FCPN with enhanced capabilities was obtained, which eliminates the shortcomings of CPN and FPN. The FCPN and a simulation approach are defined, which includes a reasoning algorithm, as well as a detailed procedure for modeling and analysis of nonlinear discrete objects. The structure is organized in the CPN Tools system with the synchronization of the CPN ML (Markup Language) language with the MatLab package. The choice of membership function and fuzzification of term values is performed in the Fuzzy Toolbox application of the MatLab system. The proposed approach is illustrated by simple example, including the control of water pumps, to maintain the required water level in the pumping well. A model is developed for the automation of adaptive fuzzy control of water pumps based on modified FCPN. Based on the criteria for the operation of water pumps according to the water levels in the pumping well, many positions and transitions of the FCPN are formed. Describing the necessary behavior of the system by the relations between the positions and transitions of the FCPN using the logic “If ... Then ...” an adaptation algorithm is developed. Based on the algorithm, the matrices of input and output incidents are determined. The graph model of the FCPN is developed. Visualization of the model is implemented in the CPN Tools system. The computer simulations and net analysis experiments demonstrate the convenience of the developed approach when modeling the intelligent control of dynamic systems.

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Coast, Joanna, Terry N. Flynn, Chris Salisbury, Jordan Louviere, and Tim J. Peters. "Maximising Responses to Discrete Choice Experiments." Applied Health Economics and Health Policy 5, no. 4 (2006): 249–60. http://dx.doi.org/10.2165/00148365-200605040-00006.

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23

Mazzanti, Massimiliano. "Discrete choice models and valuation experiments." Journal of Economic Studies 30, no. 6 (December 2003): 584–604. http://dx.doi.org/10.1108/01443580310504453.

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24

Ryan, Mandy. "Discrete choice experiments in health care." BMJ 328, no. 7436 (February 12, 2004): 360–61. http://dx.doi.org/10.1136/bmj.328.7436.360.

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25

Rungie, Cam M., Leonard V. Coote, and Jordan J. Louviere. "Latent variables in discrete choice experiments." Journal of Choice Modelling 5, no. 3 (December 2012): 145–56. http://dx.doi.org/10.1016/j.jocm.2013.03.002.

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26

Graßhoff, Ulrike, Heiko Großmann, Heinz Holling, and Rainer Schwabe. "Optimal design for discrete choice experiments." Journal of Statistical Planning and Inference 143, no. 1 (January 2013): 167–75. http://dx.doi.org/10.1016/j.jspi.2012.06.019.

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27

Das, Ashish, and Rakhi Singh. "Discrete choice experiments—A unified approach." Journal of Statistical Planning and Inference 205 (March 2020): 193–202. http://dx.doi.org/10.1016/j.jspi.2019.07.003.

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28

Bech, Mickael, and Dorte Gyrd-Hansen. "Effects coding in discrete choice experiments." Health Economics 14, no. 10 (2005): 1079–83. http://dx.doi.org/10.1002/hec.984.

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29

Bryan, Stirling, and Paul Dolan. "Discrete choice experiments in health economics." European Journal of Health Economics, formerly: HEPAC 5, no. 3 (September 2004): 199–202. http://dx.doi.org/10.1007/s10198-004-0241-6.

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30

Lancsar, Emily, and Cam Donaldson. "Discrete choice experiments in health economics." European Journal of Health Economics 6, no. 4 (December 2005): 314–16. http://dx.doi.org/10.1007/s10198-005-0304-3.

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31

Browning, Martin, and Jesus M. Carro. "Heterogeneity in dynamic discrete choice models." Econometrics Journal 13, no. 1 (February 1, 2010): 1–39. http://dx.doi.org/10.1111/j.1368-423x.2009.00301.x.

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32

Abbring, Jaap H. "Identification of Dynamic Discrete Choice Models." Annual Review of Economics 2, no. 1 (September 4, 2010): 367–94. http://dx.doi.org/10.1146/annurev.economics.102308.124349.

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33

Chiong, Khai Xiang, Alfred Galichon, and Matt Shum. "Duality in dynamic discrete-choice models." Quantitative Economics 7, no. 1 (March 2016): 83–115. http://dx.doi.org/10.3982/qe436.

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34

Cirillo, Cinzia, and Renting Xu. "Dynamic Discrete Choice Models for Transportation." Transport Reviews 31, no. 4 (July 2011): 473–94. http://dx.doi.org/10.1080/01441647.2010.533393.

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35

Rigby, Dan, Michael Burton, and Jo Pluske. "Preference Stability and Choice Consistency in Discrete Choice Experiments." Environmental and Resource Economics 65, no. 2 (May 22, 2015): 441–61. http://dx.doi.org/10.1007/s10640-015-9913-1.

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36

Mattmann, Matteo, Ivana Logar, and Roy Brouwer. "Choice certainty, consistency, and monotonicity in discrete choice experiments." Journal of Environmental Economics and Policy 8, no. 2 (September 5, 2018): 109–27. http://dx.doi.org/10.1080/21606544.2018.1515118.

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37

Weissler, E., MJ Wallace, JC Yang, LE Brotzman, MA Corriere, EA Secemsky, J. Sutphin, et al. "PCR84 Risk Communication for Discrete Choice Experiments." Value in Health 25, no. 7 (July 2022): S556. http://dx.doi.org/10.1016/j.jval.2022.04.1427.

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38

Jaynes, Jessica, Hongquan Xu, and Weng Kee Wong. "Minimum aberration designs for discrete choice experiments." Journal of Statistical Theory and Practice 11, no. 2 (March 8, 2017): 339–60. http://dx.doi.org/10.1080/15598608.2017.1299055.

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39

Palma, Marco A., Bridget K. Behe, Charles R. Hall, Patricia T. Huddleston, and Tom Fernandez. "Tracking position premiums in discrete choice experiments." Applied Economics Letters 23, no. 18 (February 26, 2016): 1269–73. http://dx.doi.org/10.1080/13504851.2016.1150941.

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40

Louviere, Jordan J., Terry N. Flynn, and Richard T. Carson. "Discrete Choice Experiments Are Not Conjoint Analysis." Journal of Choice Modelling 3, no. 3 (2010): 57–72. http://dx.doi.org/10.1016/s1755-5345(13)70014-9.

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41

Goossens, LM, MF Jonker, MP Rutten-van Mölken, MR Boland, AH Slok, PL Salomé, OC Van Schayck, JC In 't Veen, EA Stolk, and B. Donkers. "Reducing Cognitive Burden In Discrete Choice Experiments." Value in Health 20, no. 9 (October 2017): A762. http://dx.doi.org/10.1016/j.jval.2017.08.2162.

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42

Menapace, Luisa, and Roberta Raffaelli. "Unraveling hypothetical bias in discrete choice experiments." Journal of Economic Behavior & Organization 176 (August 2020): 416–30. http://dx.doi.org/10.1016/j.jebo.2020.04.020.

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43

Schaafsma, Marije, and Roy Brouwer. "Substitution Effects in Spatial Discrete Choice Experiments." Environmental and Resource Economics 75, no. 2 (August 24, 2019): 323–49. http://dx.doi.org/10.1007/s10640-019-00368-1.

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44

Reader, S. "Unobserved Heterogeneity in Dynamic Discrete Choice Models." Environment and Planning A: Economy and Space 25, no. 4 (April 1993): 495–519. http://dx.doi.org/10.1068/a250495.

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Abstract:

Monte Carlo simulation methods are used to confirm the identifiability of discrete choice models in which unobserved heterogeneity is specified as a random effect and modelled using the nonparametric mass-points approach. This simulation analysis is also used to examine alternative strategies for the estimation of such models by using a quasi-Newton maximum-likelihood estimation procedure, given the apparent sensitivity of model identification to choice of starting values. A mass-point model approach is then applied to a dataset of repeated choice involving household shopping trips between three types of retail centre, and the results from this approach are compared with those obtained from a conventional cross-sectional multinomial logit choice model as well as to results from a model in which a parametric distribution (the Dirichlet) is used to model the unobserved heterogeneity.

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45

Kasahara, Hiroyuki, and Katsumi Shimotsu. "Estimation of Discrete Choice Dynamic Programming Models." Japanese Economic Review 69, no. 1 (December 1, 2017): 28–58. http://dx.doi.org/10.1111/jere.12169.

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46

Fischer, Manfred M., and Peter Nijkamp. "From static towards dynamic discrete choice modelling." Regional Science and Urban Economics 17, no. 1 (February 1987): 3–27. http://dx.doi.org/10.1016/0166-0462(87)90066-4.

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47

Aguirregabiria, Victor, and Pedro Mira. "Dynamic discrete choice structural models: A survey." Journal of Econometrics 156, no. 1 (May 2010): 38–67. http://dx.doi.org/10.1016/j.jeconom.2009.09.007.

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48

O’Hara, Nathan N. "Eliciting Health Care Preferences With Discrete Choice Experiments." JAMA Network Open 5, no. 4 (April 25, 2022): e228794. http://dx.doi.org/10.1001/jamanetworkopen.2022.8794.

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49

O’Hara, Nathan N. "Eliciting Health Care Preferences With Discrete Choice Experiments." JAMA Network Open 5, no. 4 (April 25, 2022): e228794. http://dx.doi.org/10.1001/jamanetworkopen.2022.8794.

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50

Ryan, M., A. Bate, C. J. Eastmond, and A. Ludbrook. "Use of discrete choice experiments to elicit preferences." Quality and Safety in Health Care 10, Supplement 1 (September 1, 2001): i55—i60. http://dx.doi.org/10.1136/qhc.0100055.

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