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Journal articles on the topic 'Accurance decision-making'

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1

An, Jaehyung, and Mikhail Dorofeev. "Short-term foreign exchange forecasting: decision making based on expert polls." Investment Management and Financial Innovations 16, no. 4 (2019): 215–28. http://dx.doi.org/10.21511/imfi.16(4).2019.19.

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The paper aims to analyze the decision making based on expert polls for short-term foreign exchange (FX) forecasting from the viewpoint of the economic behavior theory. The paper offers the assessment of the problem of decision making for forecasting and investment into foreign currency. This study analyzes the relative accuracy of expert polls and forecasts, based on historical data, in the prediction of the most liquid currency pairs (EUR/USD, USD/JPY, GBP/USD) as well as USD/RUB currency pair on time horizons 1, 2, 6, and 12 months. Observation period lasted from January 2018 to January 201
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Mynhardt, Henry, Inna Makarenko, and Alex Plastun. "Standardization of sustainability reporting: rationale for better investment decision-making." Public and Municipal Finance 6, no. 2 (2017): 7–15. http://dx.doi.org/10.21511/pmf.06(2).2017.01.

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The role of sustainability reporting in investment decision-making is not clear and obvious. Despite the steady increase of such statements in corporate annual reports, the relationship between the sustainability reporting and the financial performance of companies is not always positive. The main problems of sustainability reporting nowadays are insufficient comparability of reporting, accuracy (lack of materiality, reliability and validity of indicators), lack of common approaches for its verification. Synthesis of standardization and regulation features of sustainability reporting, which is
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Henry, Greg J., Brian Dawson, Brendan S. Lay, and Warren B. Young. "Decision-Making Accuracy in Reactive Agility." Journal of Strength and Conditioning Research 27, no. 11 (2013): 3190–96. http://dx.doi.org/10.1519/jsc.0b013e31828b8da4.

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Sumpter, David J. T., and Stephen C. Pratt. "Quorum responses and consensus decision making." Philosophical Transactions of the Royal Society B: Biological Sciences 364, no. 1518 (2008): 743–53. http://dx.doi.org/10.1098/rstb.2008.0204.

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Animal groups are said to make consensus decisions when group members come to agree on the same option. Consensus decisions are taxonomically widespread and potentially offer three key benefits: maintenance of group cohesion, enhancement of decision accuracy compared with lone individuals and improvement in decision speed. In the absence of centralized control, arriving at a consensus depends on local interactions in which each individual's likelihood of choosing an option increases with the number of others already committed to that option. The resulting positive feedback can effectively dire
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Cornell, John. "Diagnostic Test Accuracy and Clinical Decision Making." Annals of Internal Medicine 149, no. 12 (2008): 904. http://dx.doi.org/10.7326/0003-4819-149-12-200812160-00011.

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6

Chittka, Lars, Peter Skorupski, and Nigel E. Raine. "Speed–accuracy tradeoffs in animal decision making." Trends in Ecology & Evolution 24, no. 7 (2009): 400–407. http://dx.doi.org/10.1016/j.tree.2009.02.010.

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7

Andreadakis, S. K., and A. H. Levis. "Accuracy and Timeliness in Decision-making Organization." IFAC Proceedings Volumes 20, no. 5 (1987): 303–7. http://dx.doi.org/10.1016/s1474-6670(17)55163-0.

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8

Franks, Nigel R., Anna Dornhaus, Jon P. Fitzsimmons, and Martin Stevens. "Speed versus accuracy in collective decision making." Proceedings of the Royal Society of London. Series B: Biological Sciences 270, no. 1532 (2003): 2457–63. http://dx.doi.org/10.1098/rspb.2003.2527.

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9

Andrzejewska, Michalina, Dilara Berkay, Sophie Dreesmann, Jonas Haslbeck, Daisy Mechelmans, and Sarah Furlan. "(In)accurate Intuition: Fast Reasoning in Decision Making." Journal of European Psychology Students 4, no. 2 (2013): 9. http://dx.doi.org/10.5334/jeps.bf.

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10

Hintze, John M., Craig S. Wells, Amanda M. Marcotte, and Benjamin G. Solomon. "Decision-Making Accuracy of CBM Progress-Monitoring Data." Journal of Psychoeducational Assessment 36, no. 1 (2017): 74–81. http://dx.doi.org/10.1177/0734282917729263.

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This study examined the diagnostic accuracy associated with decision making as is typically conducted with curriculum-based measurement (CBM) approaches to progress monitoring. Using previously published estimates of the standard errors of estimate associated with CBM, 20,000 progress-monitoring data sets were simulated to model student reading growth of two-word increase per week across 15 consecutive weeks. Results indicated that an unacceptably high proportion of cases were falsely identified as nonresponsive to intervention when a common 4-point decision rule was applied, under the context
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11

Kleinmuntz, Don N. "Effort, Accuracy, and Rational Goal-Directed Decision Making." Contemporary Psychology: A Journal of Reviews 39, no. 9 (1994): 876–77. http://dx.doi.org/10.1037/034623.

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12

Eisenberg, M. J. "Accuracy and predictive values in clinical decision-making." Cleveland Clinic Journal of Medicine 62, no. 5 (1995): 311–16. http://dx.doi.org/10.3949/ccjm.62.5.311.

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13

Mantravadi, Anand V., Bhavna P. Sheth, Russell S. Gonnering, and Douglas J. Covert. "Accuracy of surrogate decision making in elective surgery." Journal of Cataract & Refractive Surgery 33, no. 12 (2007): 2091–97. http://dx.doi.org/10.1016/j.jcrs.2007.07.036.

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14

Hall, Jessica, and Elena Plante. "Data-Informed Guideposts for Decision Making in Enhanced Conversational Recast Treatment." American Journal of Speech-Language Pathology 29, no. 4 (2020): 2068–81. http://dx.doi.org/10.1044/2020_ajslp-20-00017.

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Background To maximize treatment efficiency, it would be useful to determine how long to continue a treatment approach before concluding that it is not effective for a particular client, whether and when generalization of treatment is likely to occur, and at what point to end treatment once a child is approaching mastery. Method We analyzed aggregate data from 117 preschoolers with developmental language disorder from a decade of treatment studies on Enhanced Conversational Recast therapy to determine whether the timing of treatment response impacts its overall effectiveness and whether certai
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15

Cordes, Sean. "Method for decision making in virtual library teams." Library Management 37, no. 1/2 (2016): 55–67. http://dx.doi.org/10.1108/lm-07-2015-0052.

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Purpose – The purpose of this paper is to demonstrate an action process method including coordination, monitoring, and backup response, to improve collaborative decision making in online library work teams. Design/methodology/approach – The method was tested using a single factor experimental design where some groups used an action process intervention developed by the researcher, while others used team designated ad hoc process. Participants comprised 26 four person teams. The experiment was performed in a distributed environment where teams used Google chat communication, and a shared Google
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Yasir Babiker Hamdan and Sathish. "Faultless Decision Making for False Information in Online: A Systematic Approach." December 2020 2, no. 4 (2021): 226–35. http://dx.doi.org/10.36548/jscp.2020.4.004.

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An identifying the news are real or fake instantly with high accuracy is a challenging work. The deep learning algorithm is implementing here to acquire very accurate separation of real and fake news rather than other methods. This research work constructs naïve bayes and CNN classifiers with Q-learning decision making. The two different approaches detect fake news in online and it gives to decision making section which is designed at tail in our research. The deep decision making section compares the input and make the decision wisely and it provides the more accurate output rather than singl
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Šugrova, Michaela, Marek Plachy, Ľudmila Nagyova, and Jozef Šumichrast. "Decision-making process of tomatoes purchase by generation Z: case study in the Slovak Republic." Innovative Marketing 16, no. 1 (2020): 66–78. http://dx.doi.org/10.21511/im.16(1).2020.07.

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The paper aims to investigate and assess the decision-making process of young Slovak consumers – generation Z – in the purchase of tomatoes. The respondents participatet in a questionnaire survey and blind testing of four tomato samples (two samples were Slovak and another two were foreign tomatoes). For a deeper analysis of the collected data, five scientific hypotheses were formulated. The accuracy of provided hypotheses was verified using the following mathematical-statistical methods: Chi-Square test of independence, Mann-Whitney U-test, and as Chi test for equality of proportions between
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18

Shaoibi, Azza, Brian Neelon, and Leslie A. Lenert. "Shared Decision Making: From Decision Science to Data Science." Medical Decision Making 40, no. 3 (2020): 254–65. http://dx.doi.org/10.1177/0272989x20903267.

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Background. Accurate diagnosis of patients’ preferences is central to shared decision making. Missing from clinical practice is an approach that links pretreatment preferences and patient-reported outcomes. Objective. We propose a Bayesian collaborative filtering (CF) algorithm that combines pretreatment preferences and patient-reported outcomes to provide treatment recommendations. Design. We present the methodological details of a Bayesian CF algorithm designed to accomplish 3 tasks: 1) eliciting patient preferences using conjoint analysis surveys, 2) clustering patients into preference phen
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Groccia, Maria Carmela, Rosita Guido, and Domenico Conforti. "Multi-Classifier Approaches for Supporting Clinical Decision Making." Symmetry 12, no. 5 (2020): 699. http://dx.doi.org/10.3390/sym12050699.

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Diagnosis is one of the most important processes in the medical field. Since the knowledge domains of clinical specialties are expanding rapidly in terms of complexity and volume of data, clinicians have, in many cases, difficulties to make an accurate diagnosis. Therefore, intelligent and quantitative support for diagnostic tasks can be effectively exploited for improving the effectiveness of the process and reduce misdiagnosis. In this respect, Multi-Classifier Systems represent one of the most promising approaches within Machine Learning methodologies. This paper proposes a Multi-Classifier
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20

Spieser, Laure, Mathieu Servant, Thierry Hasbroucq, and Borís Burle. "Beyond decision! Motor contribution to speed–accuracy trade-off in decision-making." Psychonomic Bulletin & Review 24, no. 3 (2016): 950–56. http://dx.doi.org/10.3758/s13423-016-1172-9.

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21

Hedlund, Jennifer, Daniel R. Ilgen, and John R. Hollenbeck. "Decision Accuracy in Computer-Mediated versus Face-to-Face Decision-Making Teams." Organizational Behavior and Human Decision Processes 76, no. 1 (1998): 30–47. http://dx.doi.org/10.1006/obhd.1998.2796.

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22

Supiyan, Dede. "Perbandingan Metode SAW, WP Dan Topsis Dalam Penentuan Pembiayaan." Jurnal Ilmiah Informatika 4, no. 2 (2019): 88–94. http://dx.doi.org/10.35316/jimi.v4i2.544.

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Decision support system is the composition of a computer-based information system that functions as a supporter of decision making in an organization or company. Decision making in determining the provision of financing is very important because with the right decision the provision of financing can run well. Decision making method is useful for determining the best alternative from a number of other alternatives based on certain criteria, including the simple additive weighting method, Weighted Product and Technique For Order Preference by Similarity to Ideal Solution. A comparison of the met
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Xu, Liping, Zhaoyue Zhang, Qin Qin, Chi Zhang, and Xinchen Sun. "Assessment of T and N staging with MRI3T in lower and middle rectal cancer and impact on clinical strategy." Journal of International Medical Research 48, no. 6 (2020): 030006052092868. http://dx.doi.org/10.1177/0300060520928685.

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Background To determine the diagnostic accuracy of preoperative T/N stage using MRI in lower and middle rectal cancer patients and the impacts on clinical decision-making. Patients and methods There were 354 patients recruited from May 2017 to February 2019. MRI was performed within 2 weeks before surgery. Histopathologic results were evaluated for the postoperative T/N stage and MRI diagnostic accuracy was assessed based on the postoperative histopathologic results. Accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and Kappa values were used to evaluate
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24

Zhang, Hao, and Jia-Hui Mu. "A Back Propagation Neural Network-Based Method for Intelligent Decision-Making." Complexity 2021 (February 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/6610797.

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A shortage or backlog of inventory can easily occur due to the backward forecasting method typically used, which will affect the normal flow of funds in pharmacies. This paper proposes a replenishment decision model with back propagation neural network multivariate regression analysis methods. With the regular pattern between sales and individual variables, supplemented with the safety stock empirical formula, an accurate replenishment quantity can be obtained. In the case analysis, this paper takes the sales situation of a pharmacy as an example and tests the accuracy and stability of the mod
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Sola, Ermi. "DECISION MAKING: Sebuah Telaah Awal." Idaarah: Jurnal Manajemen Pendidikan 2, no. 2 (2019): 208. http://dx.doi.org/10.24252/idaarah.v2i2.7004.

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AbstractIn general, decision making is a process of choosing alternatives conducted by a certain people in an organization. An accurate decision that solves or answers the problem, needs ...and creativity from the decision makers. The decision makers have to follow any steps of decision making itself. Generally, there many steps in decision making, starting from the clearness of problem it self, develop alternatives, assess the alternatives by determine certain criteria, choose the best alternatives to be a decision, implement it, and control the implementation especially to the decision that
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Porter, David B. "Classroom Teaching, Implicit Learning and the Deleterious Effects of Inappropriate Explication." Proceedings of the Human Factors Society Annual Meeting 31, no. 3 (1987): 289–92. http://dx.doi.org/10.1177/154193128703100304.

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Eighty-five senior cadets participated in a class exercise involving complex decision-making in a natural context. One experimental group was induced to employ explicit decisional processing and another was allowed to simply guess appropriate responses. Decision accuracy was measured at three levels of information availability. Both groups performed significantly above the level of chance when no reliable, objective information was provided. However, neither accurate base rate information nor conditional probabilities increased the decision accuracy of either experimental group. The group allo
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Klatt, Stefanie, and Nicholas J. Smeeton. "Visual and Auditory Information During Decision Making in Sport." Journal of Sport and Exercise Psychology 42, no. 1 (2020): 15–25. http://dx.doi.org/10.1123/jsep.2019-0107.

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In 2 experiments, the authors investigated the effects of bimodal integration in a sport-specific task. Beach volleyball players were required to make a tactical decision, responding either verbally or via a motor response, after being presented with visual, auditory, or both kinds of stimuli in a beach volleyball scenario. In Experiment 1, players made the correct decision in a game situation more often when visual and auditory information were congruent than in trials in which they experienced only one of the modalities or incongruent information. Decision-making accuracy was greater when mo
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Samuel, Roy David, Yair Galily, Or Guy, Elad Sharoni, and Gershon Tenenbaum. "A decision-making simulator for soccer referees." International Journal of Sports Science & Coaching 14, no. 4 (2019): 480–89. http://dx.doi.org/10.1177/1747954119858696.

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Decision-making is a critical aspect of soccer referees’ performance. Yet current training methods that simulate the refereeing task are limited. Skilled soccer referees ( N = 22, M age = 27.14 years, SD = 6.40) were tested on a new decision-making simulator during the active part of the season. They ran on a treadmill for 60 min at varying paces while watching two video sections depicting real matches, in context and in mixed order, and called their match decisions out loud. They completed pre- and post-test assessments of their feelings and perceived exertion, and a post-test assessment of t
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Shkurko, Yulia S. "TIME AND ACCURACY OF SUPERVISORS’ AND EMPLOYEES’ DECISION MAKING." Sibirskiy psikhologicheskiy zhurnal, no. 59 (March 1, 2016): 137–48. http://dx.doi.org/10.17223/17267080/59/9.

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Gamble, Katherine R., Daniel N. Cassenti, and Norbou Buchler. "Effects of information accuracy and volume on decision making." Military Psychology 30, no. 4 (2018): 311–20. http://dx.doi.org/10.1080/08995605.2018.1425586.

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Feltz, Adam, and Taylor Abt. "Claims About Surrogate Decision-Making Accuracy Require Empirical Evidence." American Journal of Bioethics 12, no. 10 (2012): 41–43. http://dx.doi.org/10.1080/15265161.2012.708090.

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Laakasuo, Michael, Jussi Palomäki, and Mikko Salmela. "Emotional and Social Factors influence Poker Decision Making Accuracy." Journal of Gambling Studies 31, no. 3 (2014): 933–47. http://dx.doi.org/10.1007/s10899-014-9454-5.

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Zulkosky, Kristen D., Krista A. White, Amanda L. Price, and Jean E. Pretz. "Effect of Simulation Role on Clinical Decision-Making Accuracy." Clinical Simulation in Nursing 12, no. 3 (2016): 98–106. http://dx.doi.org/10.1016/j.ecns.2016.01.007.

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34

Marshall, James A. R., Anna Dornhaus, Nigel R. Franks, and Tim Kovacs. "Noise, cost and speed-accuracy trade-offs: decision-making in a decentralized system." Journal of The Royal Society Interface 3, no. 7 (2005): 243–54. http://dx.doi.org/10.1098/rsif.2005.0075.

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Many natural and artificial decision-making systems face decision problems where there is an inherent compromise between two or more objectives. One such common compromise is between the speed and accuracy of a decision. The ability to exploit the characteristics of a decision problem in order to vary between the extremes of making maximally rapid, or maximally accurate decisions, is a useful property of such systems. Colonies of the ant Temnothorax albipennis (formerly Leptothorax albipennis ) are a paradigmatic decentralized decision-making system, and have been shown flexibly to compromise
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Eppler, Martin, Roland Pfister, and Sebastian Kernbach. "An experiment on dyadic decision accuracy: Joint annotations as interface for decision making." Academy of Management Proceedings 2017, no. 1 (2017): 12844. http://dx.doi.org/10.5465/ambpp.2017.12844abstract.

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36

Asmussen, Jesper Normann, Jesper Kristensen, and Brian Vejrum Wæhrens. "Cost estimation accuracy in supply chain design." International Journal of Physical Distribution & Logistics Management 48, no. 10 (2018): 995–1019. http://dx.doi.org/10.1108/ijpdlm-07-2018-0268.

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PurposeThe purpose of this paper is to investigate how management attention and supply chain complexity affect the decision-making process and cost estimation accuracy of supply chain design (SCD) decisions.Design/methodology/approachThe research follows an embedded case study design. Through the lens of the behavioural theory of the firm, the SCD decision process and realised outcomes are investigated through longitudinal data collection across ten embedded cases with varying degrees of supply chain decision-making complexity and management attention.FindingsThe findings suggest that as suppl
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Dhas, Edwin Raja, Somasundaram Kumanan, and C. P. Jesuthanam. "Prediction of weld quality using intelligent decision making tools." Artificial Intelligence Research 1, no. 2 (2012): 131. http://dx.doi.org/10.5430/air.v1n2p131.

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Decision-making process in manufacturing environment is increasingly difficult due to the rapid changes in design anddemand of quality products. To make decision making process online, effective and efficient artificial intelligent tools likeneural networks are being attempted. This paper proposes the development of neural network models for prediction ofweld quality in Submerged Arc Welding (SAW). Experiments are designed according to Taguchi’s principles andmathematical equations are developed using multiple regression model. Proposed neural network models are developedusing experimental dat
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Davuluri, Pavani, Jie Wu, Yang Tang, et al. "Hemorrhage Detection and Segmentation in Traumatic Pelvic Injuries." Computational and Mathematical Methods in Medicine 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/898430.

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Automated hemorrhage detection and segmentation in traumatic pelvic injuries is vital for fast and accurate treatment decision making. Hemorrhage is the main cause of deaths in patients within first 24 hours after the injury. It is very time consuming for physicians to analyze all Computed Tomography (CT) images manually. As time is crucial in emergence medicine, analyzing medical images manually delays the decision-making process. Automated hemorrhage detection and segmentation can significantly help physicians to analyze these images and make fast and accurate decisions. Hemorrhage segmentat
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Lane, Daniel E. "Investment Decision Making by Fishermen." Canadian Journal of Fisheries and Aquatic Sciences 45, no. 5 (1988): 782–96. http://dx.doi.org/10.1139/f88-096.

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Individual fishermen make investment decisions in an environment which is competitive and highly variable from season to season. Extensive variability means that economic survival must be a primary consideration in the investment decision process. In this paper, fishermen's investment decisions are modelled as a probabilistic dynamic programming problem in discrete time. Fishermen are assumed to make rational decisions based on income expectations and subject to survivability conditions to maximize the net worth of the fishing enterprise at the end of a finite planning horizon. The formal anal
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Desender, Kobe, Annika Boldt, and Nick Yeung. "Subjective Confidence Predicts Information Seeking in Decision Making." Psychological Science 29, no. 5 (2018): 761–78. http://dx.doi.org/10.1177/0956797617744771.

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There is currently little direct evidence regarding the function of subjective confidence in decision making: The tight correlation between objective accuracy and subjective confidence makes it difficult to distinguish each variable’s unique contribution. Here, we created conditions in a perceptual decision task that were matched in accuracy but differed in subjective evaluation of accuracy by orthogonally varying the strength versus variability of evidence. Confidence was reduced with variable (vs. weak) evidence, even across conditions matched for difficulty. Building on this dissociation, w
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Stroeymeyt, N., C. Jordan, G. Mayer, S. Hovsepian, M. Giurfa, and N. R. Franks. "Seasonality in communication and collective decision-making in ants." Proceedings of the Royal Society B: Biological Sciences 281, no. 1780 (2014): 20133108. http://dx.doi.org/10.1098/rspb.2013.3108.

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The ability of animals to adjust their behaviour according to seasonal changes in their ecology is crucial for their fitness. Eusocial insects display strong collective behavioural seasonality, yet the mechanisms underlying such changes are poorly understood. We show that nest preference by emigrating Temnothorax albipennis ant colonies is influenced by a season-specific modulatory pheromone that may help tune decision-making according to seasonal constraints. The modulatory pheromone triggers aversion towards low-quality nests and enhances colony cohesion in summer and autumn, but not after o
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Lei, Xie, Ding Dali, Wei Zhenglei, Xi Zhifei, and Tang Andi. "Moving Time UCAV Maneuver Decision Based on the Dynamic Relational Weight Algorithm and Trajectory Prediction." Mathematical Problems in Engineering 2021 (March 18, 2021): 1–19. http://dx.doi.org/10.1155/2021/6641567.

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To improve the accuracy and real-time performance of autonomous decision-making by the unmanned combat aerial vehicle (UCAV), a decision-making method combining the dynamic relational weight algorithm and moving time strategy is proposed, and trajectory prediction is added to maneuver decision-making. Considering the lack of continuity and diversity of air combat situation reflected by the constant weight in situation assessment, a dynamic relational weight algorithm is proposed to establish an air combat situation system and adjust the weight according to the current situation. Based on the d
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Barach, P., V. Levashenko, and E. Zaitseva. "Fuzzy Decision Trees in Medical Decision Making Support Systems." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 8, no. 1 (2019): 37–42. http://dx.doi.org/10.1177/2327857919081009.

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Fuzzy decision trees represent classification knowledge more naturally to the way of human thinking and are more robust in tolerating imprecise, conflict, and missing information. Decision Making Support Systems are used widely in clinical medicine because decisions play an important role in diagnostic processes. Decision trees are a very suitable candidate for induction of simple decision-making models with the possibility of automatic learning. The goal of this paper is to demonstrate a new approach for predictive data mining models in clinical medicine. This approach is based on induction o
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Balci, Fuat, Patrick Simen, Ritwik Niyogi, et al. "Acquisition of decision making criteria: reward rate ultimately beats accuracy." Attention, Perception, & Psychophysics 73, no. 2 (2010): 640–57. http://dx.doi.org/10.3758/s13414-010-0049-7.

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Mishra, Prabhaker, Chandra Pandey, Uttam Singh, Sachin Yadav, and Vishal Sharma. "Evaluation and application of diagnostic accuracy in clinical decision-making." International Journal of Medical Science and Public Health 5, no. 10 (2016): 2190. http://dx.doi.org/10.5455/ijmsph.2016.09022016401.

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46

Srivastava, Vaibhav, and Naomi Ehrich Leonard. "Collective Decision-Making in Ideal Networks: The Speed-Accuracy Tradeoff." IEEE Transactions on Control of Network Systems 1, no. 1 (2014): 121–32. http://dx.doi.org/10.1109/tcns.2014.2310271.

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Price, Amanda, Kristen Zulkosky, Krista White, and Jean Pretz. "Accuracy of intuition in clinical decision-making among novice clinicians." Journal of Advanced Nursing 73, no. 5 (2016): 1147–57. http://dx.doi.org/10.1111/jan.13202.

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48

Hollenbeck, John R., Jason A. Colquitt, Daniel R. Ilgen, Jeffrey A. LePine, and Jennifer Hedlund. "Accuracy decomposition and team decision making: Testing theoretical boundary conditions." Journal of Applied Psychology 83, no. 3 (1998): 494–500. http://dx.doi.org/10.1037/0021-9010.83.3.494.

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Kertzman, Semion, Michael Vainder, Tali Vishne, Anat Aizer, Moshe Kotler, and Pinhas N. Dannon. "Speed-Accuracy Tradeoff in Decision-Making Performance among Pathological Gamblers." European Addiction Research 16, no. 1 (2010): 23–30. http://dx.doi.org/10.1159/000253861.

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&NA;. "Patients Want Accurate Information and Some Input in Decision-Making." Back Letter 11, no. 2 (1996): 15. http://dx.doi.org/10.1097/00130561-199602000-00005.

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