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Relevant bibliographies by topics / Tradeoff model

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Academic literature on the topic 'Tradeoff model'

Author: Grafiati

Published: 8 September 2021

Last updated: 10 February 2022

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Journal articles on the topic "Tradeoff model"

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Cheng, Longsheng, Ching-Shih Tsou, Ming-Chang Lee, Li-Hua Huang, Dingwei Song, and Wei-Shan Teng. "Tradeoff Analysis for Optimal Multiobjective Inventory Model." Journal of Applied Mathematics 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/619898.

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Deterministic inventory model, the economic order quantity (EOQ), reveals that carrying inventory or ordering frequency follows a relation of tradeoff. For probabilistic demand, the tradeoff surface among annual order, expected inventory and shortage are useful because they quantify what the firm must pay in terms of ordering workload and inventory investment to meet the customer service desired. Based on a triobjective inventory model, this paper employs the successive approximation to obtain efficient control policies outlining tradeoffs among conflicting objectives. The nondominated solutio

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Leightner, Jonathan E. "Estimates of the Inflation versus Unemployment Tradeoff that are not Model Dependent." Journal of Central Banking Theory and Practice 9, no. 1 (2020): 5–21. http://dx.doi.org/10.2478/jcbtp-2020-0001.

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AbstractFor governments who want to improve their economies via fiscal, monetary, trade or exchange rate policies, the tradeoff between the inflation rate and the unemployment rate is extremely important. This tradeoff has become known as the Phillips curve. Among economists there is no consensus on how to model and estimate the Phillips curve. Ideally, all the factors that could affect the Aggregate Supply and Aggregate Demand curves should be included in the model including exchange rates, transportation costs, infrastructure, weather, income distribution, etc. No researcher has created a mo

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Fu, Bin, and Naiwen Li. "Tradeoff between Hydropower and River Visual Landscape Services in Mountainous Areas." Sustainability 11, no. 19 (2019): 5509. http://dx.doi.org/10.3390/su11195509.

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Water retention is one of the important services provided by ecosystems. Water retention is also the basis for multiple other services, such as hydropower development, river continuity, and biodiversity. However, there are clear tradeoffs among these services. Tradeoffs are already a hot topic in ecosystem services research, but the tradeoff between hydropower and river visual landscape services (RVLS) has not yet been investigated. In this study, we used the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) hydropower model for spatial mapping of watershed services. The propo

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Ock, Jisoo, and Frederick L. Oswald. "The Utility of Personnel Selection Decisions." Journal of Personnel Psychology 17, no. 4 (2018): 172–82. http://dx.doi.org/10.1027/1866-5888/a000205.

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Abstract. Compensatory selection is generally more reliable than multiple-hurdle selection. Yet, practitioners may lean toward multiple-hurdle models, because administering an entire predictor battery to every applicant can be time-consuming, labor-intensive, and costly. Using Monte Carlo simulation, we considered some specific cases to illustrate, in terms of selection utility and the cost-reliability tradeoff between compensatory and multiple-hurdle selection models. Results showed that compensatory model selection produced a higher level of expected criterion performance in the selected app

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Chen, Li. "TRADEOFF COORDINATION AND ITS AUTOMATION IN ROBUST DESIGN." Transactions of the Canadian Society for Mechanical Engineering 27, no. 3 (2003): 223–57. http://dx.doi.org/10.1139/tcsme-2003-0013.

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A formal coordination-based method is presented to systematically deal with the subjective tradeoff between “performance precision” and “performance accuracy” in robust design, where the coordination of tradeoff is treated as analogous to the control of a physical process. A two-objective optimization model that minimizes design variability and maximizes design functionality is formulated to characterize design robustness. By treating coordination as a control process, a fuzzy control approach is suggested to express and configure the coordination mechanism based on fuzzy logic by which design

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Wanyama, Tom, and Behrouz Homayoun Far. "A Qualitative Reasoning Model for Tradeoff Analysis in Multiple Objective Decision Making." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 1 (2007): 11–20. http://dx.doi.org/10.20965/jaciii.2007.p0011.

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In Multi-Criteria Decision Making problems such as choosing a development policy, selecting software products, or searching for commodities to purchase, it is often necessary to evaluate solution options in respect of multiple objectives. The solution alternative that performs best in all the objectives is the dominant solution, and it should be selected to solve the problem. However, usually the selection objectives are incomparable and conflicting, making it impossible to have a dominant solution among the alternatives. In such cases, tradeoff analysis is required to identify the objectives

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Tikhonov, Mikhail, Shamit Kachru, and Daniel S. Fisher. "A model for the interplay between plastic tradeoffs and evolution in changing environments." Proceedings of the National Academy of Sciences 117, no. 16 (2020): 8934–40. http://dx.doi.org/10.1073/pnas.1915537117.

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Performance tradeoffs are ubiquitous in both ecological and evolutionary modeling, yet they are usually postulated and built into fitness and ecological landscapes. However, tradeoffs depend on genetic background and evolutionary history and can themselves evolve. We present a simple model capable of capturing the key feedback loop: evolutionary history shapes tradeoff strength, which, in turn, shapes evolutionary future. One consequence of this feedback is that genomes with identical fitness can have different evolutionary properties shaped by prior environmental exposure. Another is that, ge

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Moussourakis, John, and Cengiz Haksever. "Flexible Model for Time/Cost Tradeoff Problem." Journal of Construction Engineering and Management 130, no. 3 (2004): 307–14. http://dx.doi.org/10.1061/(asce)0733-9364(2004)130:3(307).

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Wargo, Andrew R., Gael Kurath, Robert J. Scott, and Benjamin Kerr. "Virus shedding kinetics and unconventional virulence tradeoffs." PLOS Pathogens 17, no. 5 (2021): e1009528. http://dx.doi.org/10.1371/journal.ppat.1009528.

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Tradeoff theory, which postulates that virulence provides both transmission costs and benefits for pathogens, has become widely adopted by the scientific community. Although theoretical literature exploring virulence-tradeoffs is vast, empirical studies validating various assumptions still remain sparse. In particular, truncation of transmission duration as a cost of virulence has been difficult to quantify with robust controlled in vivo studies. We sought to fill this knowledge gap by investigating how transmission rate and duration were associated with virulence for infectious hematopoietic

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Krabbe, Paul F. M., and Gouke J. Bonsel. "Sequence Effects, Health Profiles, and the QALY Model." Medical Decision Making 18, no. 2 (1998): 178–86. http://dx.doi.org/10.1177/0272989x9801800207.

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The authors conducted an experiment to determine whether the sequence of presentation of states in a health profile would affect the valuations assigned to them. The empirical task was part of a large standardized experiment involving 104 students. Thirteen health states were valued using two variations of the time-tradeoff method. At the group level, a small but distinct overall effect of the sequence of the tradeoffs was detected after accounting for discounting effects. The respondents were not preference-indifferent concerning the sequence of health states presented. Detailed analysis at t

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Dissertations / Theses on the topic "Tradeoff model"

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Bush, Ronald S. Cimiluca Arthur E. "Tradeoff analysis model for arsenal ship survivability and sustainability /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA286917.

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Thesis (M.S. in Operations Research) Naval Postgraduate School, September 1996.<br>Thesis advisor(s): W.P. Hughes. "September 1996." Includes bibliographical references (p. 73-74). Also available online.

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Bush, Ronald S., and Arthur E. Jr Cimiluca. "Tradeoff analysis model for arsenal ship survivability and sustainability." Thesis, Monterey, California. Naval Postgraduate School, 1996. http://hdl.handle.net/10945/31169.

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Approved for public release; distribution is unlimited.<br>The arsenal ship program is unique and requires examining the possible features of a paradigm shift in ship design. This thesis presents a user-friendly model with which a decision maker can perform tradeoff analyses between adding specific systems and technologies to the arsenal ship or adding the escort services of combatant ships. The goal of the model is to produce configuration alternatives with high arsenal ship survivability subject to a budget constraint. The model also examines operational logistics by predicting the sustainab

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Ismail, Ayman. "A multiobjective tradeoff model for stormwater runoff, flooding and housing return /." Connect to resource, 1998. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1250703411.

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Ayman, Ismail M. "A multiobjective tradeoff model for stormwater runoff, flooding and housing return." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250703411.

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Gori, Julien. "Modeling the speed-accuracy tradeoff using the tools of information theory." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLT022/document.

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La loi de Fitts, qui relie le temps de mouvement MT dans une tache de pointage aux dimensions de la cible visée D et W est usuellement exprimée à partir d’une imitation de la formule de la capacité de Shannon MT = a + b log 2 (1 + D/W). Toutefois, l’analyse actuelle est insatisfaisante: elle provient d’une simple analogie entre la tache de pointage et la transmission d’un signal sur un canal bruité sans qu’il n’y ait de modèle explicite de communication.Je développe d’abord un modèle de transmission pour le pointage, où l’indice de difficulté ID = log 2 (1 + D/W) s’exprime aussi bien comme une

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Colgan, James A. (James Austin). "A business planning model to access the tradeoff between inventory and capacity for a Stage 1 manufacturing process." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11365.

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Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1995, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1995.<br>Includes bibliographical references (p. 83-85).<br>by James A. Colgan.<br>M.S.

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Bye, Robin Trulssen Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "The BUMP model of response planning: a neuroengineering account of speed-accuracy tradeoffs, velocity profiles, and physiological tremor in movement." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/43542.

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Speed-accuracy tradeoffs, velocity profiles, and physiological tremor are fundamental characteristics of human movement. The principles underlying these phenomena have long attracted major interest and controversy. Each is well established experimentally but as yet they have no common theoretical basis. It is proposed that these three phenomena occur as the direct consequence of a movement response planning system that acts as an intermittent optimal controller operating at discrete intervals of ~100 ms. The BUMP model of response planning describes such a system. It forms the kernel of adapti

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Ma, Qi. "Reinforcement in Biology : Stochastic models of group formation and network construction." Doctoral thesis, Uppsala universitet, Analys och tillämpad matematik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-186989.

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Empirical studies show that similar patterns emerge from a large number of different biological systems. For example, the group size distributions of several fish species and house sparrows all follow power law distributions with an exponential truncation. Networks built by ant colonies, slime mold and those are designed by engineers resemble each other in terms of structure and transportation efficiency. Based on the investigation of experimental data, we propose a variety of simple stochastic models to unravel the underlying mechanisms which lead to the collective phenomena in different syst

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Malakhoff, Lev A. "Combat aircraft mission tradeoff models for conceptual design evaluation." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53583.

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A methodology is developed to address the analyses of combat aircraft attrition. The operations of an aircraft carrier task force are modeled using the systems dynamics simulation language DYNAMO. The three mission-roles include: surface attack, lighter escort, and carrier defense. The level of analysis is performed over the entire campaign, going beyond the traditional single·sortie analysis level. These analyses are performed by determining several measures of effectiveness (MOEs) for whatever constraints are applied to the model. The derived MOEs include: Campaign Survivability (CS), Fra

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Cabrera, Antonio Trani. "Combat aircraft scenario tradeoff models for conceptual design evaluation." Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/53920.

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The purpose of this research is to apply engineering-based knowledge to the field of combat aircraft survivability, and to create scenario-specific models in order to estimate the tradeoff between aircraft survivability and lethality metrics at the encounter and sortie levels. The development of scenario-specific models serves to identify and quantify technological changes that have Ieverage on the overall performance of the aircraft from a survivability point of view. Also, the models focus on the fighter aircraft susceptibility assessment and are capable of incorporating outputs from offline

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Books on the topic "Tradeoff model"

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Pendarakis, Dimitrios E. On the tradeoff between transport and signaling in broadband network. Columbia University, 1996.

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Ghysels, Eric. There is a risk-return tradeoff after all. National Bureau of Economic Research, 2004.

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Ghysels, Eric. There is a risk-return tradeoff after all. National Bureau of Economic Research, 2004.

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Razin, Assaf. Can capital controls alter the inflation-unemployment tradeoff? National Bureau of Economic Research, 1995.

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Campbell, John Y. The term structure of the risk-return tradeoff. National Bureau of Economic Research, 2005.

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Pástor, Lubos̆. Estimating the intertemporal risk-return tradeoff using the implied cost of capital. National Bureau of Economic Research, 2006.

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Razin, Assaf. Flattened inflation-output tradeoff and enhanced anti-inflation policy: Outcome of globalization? National Bureau of Economic Research, 2007.

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K, Davis Paul. Formalization of tradeoff rules and other techniques for comprehending complex rule-based models. Rand, 1987.

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R, Bettman James, and Payne John W, eds. Emotional decisions: Tradeoff difficulty and coping in consumer choice. University of Chicago Press, 2001.

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Luce, Mary Frances. Emotional decisions: Tradeoff difficulty and coping in consumer choice. University of Chicago Press, 2001.

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Book chapters on the topic "Tradeoff model"

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Wanyama, Tom, and Behrouz Homayoun Far. "Qualitative Reasoning Model for Tradeoff Analysis." In Modeling Decisions for Artificial Intelligence. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11526018_11.

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Bersini, Hugues, and Nicolas van Zeebroeck. "A Stylized Software Model to Explore the Free Market Equality/Efficiency Tradeoff." In Trends in Practical Applications of Agents and Multiagent Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00563-8_1.

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Bersini, Hugues, and Nicolas van Zeebroeck. "A Stylized Software Model to Explore the Free Market Equality/Efficiency Tradeoff." In Lecture Notes in Economics and Mathematical Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00912-4_3.

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Van Breukelen, Gerard J. P., and Edward E. Ch I. Roskam. "A Rasch Model for the Speed-Accuracy Tradeoff In Time limited Tests." In Recent Research in Psychology. Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4613-9728-1_15.

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Karpowich, Michael F., Thomas R. Sanders, and Robert E. Verge. "An Economic Analysis Model for Determining the Custom versus Commercial Software Tradeoff." In Analytical Methods in Software Engineering Economics. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77795-0_10.

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Veronese, Fabio, Sara Comai, Simone Mangano, Matteo Matteucci, and Fabio Salice. "PIR Probability Model for a Cost/Reliability Tradeoff Unobtrusive Indoor Monitoring System." In Smart Objects and Technologies for Social Good. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61949-1_7.

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Ambore, Bhagyashree, and L. Suresh. "Game-Decision Model for Isolating Intruder and Bridging Tradeoff Between Energy and Security." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19813-8_2.

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Mao, Yilu, Xianglan Chen, Xiaodan Wu, Hao Wu, and Yuchang Gong. "A Dynamic Frequency Governor for Operating System Based on Performance-Energy Tradeoff Model." In Recent Advances in Computer Science and Information Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25766-7_64.

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Wong, Kar-yiu, and Xiaokai Yang. "An Extended Ethier Model with the Tradeoff between Economies of Scale and Transaction Costs." In Increasing Returns and Economic Analysis. Palgrave Macmillan UK, 1998. http://dx.doi.org/10.1007/978-1-349-26255-7_10.

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Chen, Hong-gen. "The Equipment Maintenance Mode Allocated D-Logical Decision Model and Its Economic Tradeoff Strategies." In Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013). Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40060-5_18.

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Conference papers on the topic "Tradeoff model"

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Al-Ekram, Raihan, Ric Holt, and Chris Hobbs. "Applying a Tradeoff Model (TOM) to TACT." In The Second International Conference on Availability, Reliability and Security (ARES'07). IEEE, 2007. http://dx.doi.org/10.1109/ares.2007.42.

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Nwakanma, Cosmas Ifeanyi, Williams-Paul Nwadiugwu, Jae-Min Lee, and Dong-Seong Kim. "Image Similarity Index Tradeoff Model for Industrial Network." In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2019. http://dx.doi.org/10.1109/etfa.2019.8869538.

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Price, Henry. "A Parabolic Trough Solar Power Plant Simulation Model." In ASME 2003 International Solar Energy Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/isec2003-44241.

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As interest for clean renewable electric power technologies grows, a number of parabolic trough power plants of various configurations are being considered for deployment around the globe. It is essential that plant designs be optimized for each specific application. The optimum design must consider the capital cost, operations and maintenance cost, annual generation, financial requirements, and time-of-use value of the power generated. Developers require the tools for evaluating tradeoffs between these various project elements. This paper provides an overview of a computer model that is being

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Wheaton, Marilee J., and Azad M. Madni. "Model-Based Approach for Resilience and Affordability Tradeoff Analysis." In AIAA Scitech 2019 Forum. American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-0221.

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Malak, Richard J., and Christiaan J. J. Paredis. "Using Parameterized Pareto Sets to Model Design Concepts." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43226.

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Decisions made during conceptual design can have a major impact on the success of a design project, and designers must take care to select a concept that leads to a desirable design solution. However, the inherently imprecise nature of design concepts complicates decision making. A single concept relates to a large set of specific design implementations, each of which has a different level of desirability based on the tradeoffs designers are willing to make. Thus, designers must consider tradeoffs across the many possible implementations of a design concept in order to decide between concepts

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Al-Ekram, Raihan, Ric Holt, Chris Hobbs, and Susan Sim. "Automating service quality with TOMCAD (Tradeoff Model with Capacity and Demand)." In the 2007 workshop. ACM Press, 2007. http://dx.doi.org/10.1145/1314483.1314485.

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Townsend, D., F. Knoefel, and R. Goubran. "Privacy versus autonomy: A tradeoff model for smart home monitoring technologies." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091176.

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Zaneldin, Essam, and Bilal El-Ariss. "A Spreadsheet Model for Time-Cost Tradeoff Analysis and Proect Control." In Research, Development and Practice in Structural Engineering and Construction. Research Publishing Services, 2012. http://dx.doi.org/10.3850/978-981-08-7920-4_c-14-0192.

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Freire, Ana, Craig Macdonald, Nicola Tonellotto, Iadh Ounis, and Fidel Cacheda. "A self-adapting latency/power tradeoff model for replicated search engines." In WSDM 2014: Seventh ACM International Conference on Web Search and Data Mining. ACM, 2014. http://dx.doi.org/10.1145/2556195.2556246.

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Reddy, Sudhakar Y., Kenneth W. Fertig, and David E. Smith. "Constraint Management Methodology for Conceptual Design Tradeoff Studies." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dtm-1499.

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Abstract This paper presents a constraint management methodology, which facilitates tradeoff studies during conceptual design. This approach represents design models as constraints between variables, and uses the resulting constraint network to automatically derive computational procedures for performing user-specified tradeoff studies. By decomposing large constraint networks into smaller pieces that can be solved robustly, this approach can solve extremely large systems of non-linear equations present in practical system models. Design Sheet is a software implementation of this methodology;

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Reports on the topic "Tradeoff model"

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Tvaryanas, Anthony P., Andrea Cooks, Horace Orr, and Lisa Kaminski. Human Systems Integration (HSI) Tradeoff Model. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada602459.

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Mendoza, Enrique, Eugenio Rojas, Linda Tesar, and Jing Zhang. A Macroeconomic Model of Healthcare Saturation, Inequality and the Output-Pandemia Tradeoff. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w28247.

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Mendoza, Enrique G., Eugenio Rojas, Linda L. Tesar, and Jing Zhang. A Macroeconomic Model of Healthcare Saturation, Inequality and the Output-Pandemia Tradeoff. Federal Reserve Bank of Chicago, 2021. http://dx.doi.org/10.21033/wp-2021-02.

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Kowalski, Amanda. Estimating the Tradeoff Between Risk Protection and Moral Hazard with a Nonlinear Budget Set Model of Health Insurance. National Bureau of Economic Research, 2012. http://dx.doi.org/10.3386/w18108.

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Steven J. Piet, Nick R. Soelberg, Samuel E. Bays, et al. The FIT Model - Fuel-cycle Integration and Tradeoffs. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1010680.

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Steven J. Piet, Nick R. Soelberg, Layne F. Pincock, Eric L. Shaber, and Gregory M Teske. The FIT 2.0 Model - Fuel-cycle Integration and Tradeoffs. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1023474.

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Barbacci, M., S. Carriere, T. Longstaff, C. Weinstock, and P. Feiler. Steps in an Architecture Tradeoff Analysis Method: Quality Attribute Models and Analysis. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada343692.

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