標題: Titlebook: Elicitation; The Science and Art Luis C. Dias,Alec Morton,John Quigley Book 2018 Springer International Publishing AG 2018 Preference Elic [打印本頁] 作者: Falter 時間: 2025-3-21 17:13
書目名稱Elicitation影響因子(影響力)
書目名稱Elicitation影響因子(影響力)學科排名
書目名稱Elicitation網絡公開度
書目名稱Elicitation網絡公開度學科排名
書目名稱Elicitation被引頻次
書目名稱Elicitation被引頻次學科排名
書目名稱Elicitation年度引用
書目名稱Elicitation年度引用學科排名
書目名稱Elicitation讀者反饋
書目名稱Elicitation讀者反饋學科排名
作者: TERRA 時間: 2025-3-21 21:15 作者: 上漲 時間: 2025-3-22 03:58 作者: Aids209 時間: 2025-3-22 05:21
American Sea Fiction: Cooper, Poe, Dana, aiding conclusions. An application example on job evaluation is elaborated as an educative example, while other potential areas for future use applications of the methodological framework are listed. The chapter concludes with several promising directions for future research.作者: machination 時間: 2025-3-22 12:40 作者: figure 時間: 2025-3-22 16:33 作者: figure 時間: 2025-3-22 19:18 作者: 注意力集中 時間: 2025-3-22 23:42 作者: MIRTH 時間: 2025-3-23 04:03 作者: 制造 時間: 2025-3-23 05:56
https://doi.org/10.1007/978-3-319-55099-2pters in the book, which, we argue, shows that there is a huge body of knowledge and expertise about how to elicit both probabilities and preferences in important social problems, and conclude with future trends that make the subject of this book (in our view) particularly timely.作者: Abrade 時間: 2025-3-23 13:23 作者: 溫和女孩 時間: 2025-3-23 15:11
María Manzano,Manuel Crescencio Morenoety Authority have provided the most detailed and thorough prescription of the procedures and processes needed to conduct an expert judgement study. We critically review this from a Bayesian perspective, asking how it might need modifying if Bayesian models are included to analyse and aggregate the expert judgements.作者: nugatory 時間: 2025-3-23 20:49
Elias Karakitsos,Lambros Varnavidesmethods for arriving at the partial values and weighting them to arrive at an overall value score, including both traditional methods relying on cardinal assessment, and the MACBETH approach which uses qualitative difference judgements. A running example of a house choice problem is used to illustrate the different elicitation approaches.作者: 壓迫 時間: 2025-3-24 01:49 作者: outskirts 時間: 2025-3-24 05:25
Elicitation: State of the Art and Science,pters in the book, which, we argue, shows that there is a huge body of knowledge and expertise about how to elicit both probabilities and preferences in important social problems, and conclude with future trends that make the subject of this book (in our view) particularly timely.作者: 心痛 時間: 2025-3-24 06:54 作者: 后退 時間: 2025-3-24 14:11
Elicitation and Calibration: A Bayesian Perspective,ety Authority have provided the most detailed and thorough prescription of the procedures and processes needed to conduct an expert judgement study. We critically review this from a Bayesian perspective, asking how it might need modifying if Bayesian models are included to analyse and aggregate the expert judgements.作者: CRATE 時間: 2025-3-24 18:10
Multiattribute Value Elicitation,methods for arriving at the partial values and weighting them to arrive at an overall value score, including both traditional methods relying on cardinal assessment, and the MACBETH approach which uses qualitative difference judgements. A running example of a house choice problem is used to illustrate the different elicitation approaches.作者: enlist 時間: 2025-3-24 19:45
Eliciting Multi-Criteria Preferences: ELECTRE Models,d by the decision maker. In this chapter we discuss the elicitation of an outranking-based preference model, focusing on the valued outranking relation used in the ELECTRE III and ELECTRE TRI methods.作者: 節(jié)約 時間: 2025-3-25 01:18
Expert Judgment Based Nuclear Threat Assessment for Vessels Arriving in the US,edictive probability model using log-linear regression. Results are based on a proof-of-concept questionnaire completed by eight experts in port security. The model and parameter estimates obtained are used to demonstrate the type of predictions that can be obtained.作者: 朝圣者 時間: 2025-3-25 05:27 作者: 空中 時間: 2025-3-25 08:57
Maritime Governance and Policy-Makingments as inputs to a decision or risk analysis model, because they can degrade the quality of the analysis. This chapter identifies individual and group biases relevant for decision and risk analysis and suggests tools for debiasing judgements for each type of bias.作者: 發(fā)現 時間: 2025-3-25 12:19 作者: 婚姻生活 時間: 2025-3-25 19:12
Collin McFadyean,Lennart Hagberg (advokat)edictive probability model using log-linear regression. Results are based on a proof-of-concept questionnaire completed by eight experts in port security. The model and parameter estimates obtained are used to demonstrate the type of predictions that can be obtained.作者: AWL 時間: 2025-3-25 21:31 作者: finale 時間: 2025-3-26 02:36 作者: anaerobic 時間: 2025-3-26 05:56 作者: 緊張過度 時間: 2025-3-26 10:10
Kota Sobha,Devarai Santhosh Kumarquestions under uncertainty. Individual expert performance is assessed against a set of seed questions, items from their field, for which the analyst knows or will know the true values, but the experts do not; the experts are, however, expected to provide accurate and informative distributional judg作者: ARK 時間: 2025-3-26 13:31 作者: 機密 時間: 2025-3-26 19:50
Stanislav A. Ermakov,Sergei V. Kijashkoert knowledge elicitation exercises to give a transparent and reliable way of collecting expert opinions. The framework is based on the principles of behavioural aggregation where a facilitator-guided group interact and share information to arrive at a consensus. It was originally designed for helpi作者: Myelin 時間: 2025-3-26 21:29
https://doi.org/10.1007/978-981-10-0141-3t. The two key mechanisms by which judgements may be pooled across experts are through striving for consensus, via behavioural aggregation, where experts share and discuss information, and via mathematical methods, where judgements are combined using a mechanistic rule. Mixed approaches combine elem作者: collateral 時間: 2025-3-27 03:46
María Manzano,Manuel Crescencio Morenodgement studies. The few that exist emphasise different aggregation models, but none build a full Bayesian model to combine the judgements of multiple experts into the posterior distribution for a decision maker. Historically, Bayesian concepts have identified issues with current modelling approache作者: 繁榮中國 時間: 2025-3-27 08:02
https://doi.org/10.1007/978-94-010-2484-6her upon other features of the problem to which an expert can relate her experience. By mapping the quantity of interest to an expert’s experience we can use available empirical data about associated events to support the quantification of uncertainty. Our rationale contrasts with other approaches t作者: 骨 時間: 2025-3-27 10:06
Models of Container Port Security,allenge is that uncertainties are typically not isolated but interlinked which introduces complex (and often unexpected) effects on the model output. Therefore, dependence needs to be taken into account and modelled appropriately if simplifying assumptions, such as independence, are not sensible. Si作者: grotto 時間: 2025-3-27 15:25
Varianzuntersuchungen am Bewertungsmodell,ng subject to the same biases consistently, different experts being subject to the same biases or experts sharing backgrounds and experience. In this chapter we consider the implications of these correlations for both mathematical and behavioural approaches to expert judgement aggregation. We introd作者: 馬具 時間: 2025-3-27 18:26
https://doi.org/10.1007/978-3-031-39936-7 This shifts the focus of utility assessment to the identification of the benchmark and the sources of uncertainty in that benchmark. Identification of the benchmark is often easy when the benchmark is based on a status quo outcome, a preferred outcome or an undesirable outcome. Benchmarks are gener作者: 皺痕 時間: 2025-3-27 23:35
Elias Karakitsos,Lambros Varnavides. They are employ a divide-and-conquer modelling strategy in which the value of an option is conceptualised as a function (typically the sum) of the scores associated with the performance of the option on different attributes. This chapter outlines the concept of preferential independence, which has作者: 面包屑 時間: 2025-3-28 05:11 作者: frugal 時間: 2025-3-28 06:18
https://doi.org/10.1007/978-3-319-21747-5 invalidating, for any pair of alternatives (.,?.), the assertion “.”. This comparison is grounded on the evaluation vectors of both alternatives, and on additional information concerning the decision maker’s preferences, typically accounting for two conditions: concordance and non-discordance. In d作者: 會犯錯誤 時間: 2025-3-28 10:50
Maritime Governance and Policy-Makingvidual biases can be either cognitive, such as overconfidence, or motivational, such as wishful thinking. In addition, when making judgements in groups, decision makers and experts might be affected by group-level biases. These biases can create serious challenges to decision analysts, who need judg作者: 鞠躬 時間: 2025-3-28 15:42 作者: Phagocytes 時間: 2025-3-28 22:33 作者: savage 時間: 2025-3-28 23:54 作者: 調整 時間: 2025-3-29 06:12 作者: 鞭子 時間: 2025-3-29 09:42
https://doi.org/10.1007/978-1-4615-2081-8ical validation. Using data in which experts quantify uncertainty on variables from their fields whose true values are known post hoc, this chapter explains how validation is performed in the Classical Model for structured expert judgment and reviews results for different combination methods.作者: 易受騙 時間: 2025-3-29 14:26
Validation in the Classical Model,ical validation. Using data in which experts quantify uncertainty on variables from their fields whose true values are known post hoc, this chapter explains how validation is performed in the Classical Model for structured expert judgment and reviews results for different combination methods.作者: galley 時間: 2025-3-29 17:25
Maritime Cross-Border InsolvencyThis chapter introduces key concepts in modelling preferences under uncertainty, focusing on utility elicitation, both in single and multiple attribute problems. We also discuss issues in relation with adversarial preference assessment. We illustrate all concepts with a case combining aspects of energy and homeland security.作者: 河流 時間: 2025-3-29 21:52
Utility Elicitation,This chapter introduces key concepts in modelling preferences under uncertainty, focusing on utility elicitation, both in single and multiple attribute problems. We also discuss issues in relation with adversarial preference assessment. We illustrate all concepts with a case combining aspects of energy and homeland security.作者: 哎呦 時間: 2025-3-30 00:03
https://doi.org/10.1007/978-3-319-65052-4Preference Elicitation; Expert Judgment; Multi Criteria Decision Analysis; Decision Analysis; Cooke Meth作者: 膝蓋 時間: 2025-3-30 04:21 作者: incision 時間: 2025-3-30 10:25 作者: Pericarditis 時間: 2025-3-30 14:09 作者: conjunctiva 時間: 2025-3-30 19:23 作者: 壯觀的游行 時間: 2025-3-30 23:34
Elicitation: State of the Art and Science,from human health (swine flu); provision of public services (airport location); natural hazards (assessment of the risk of earthquakes) and environmental protection (in the case of radioactive waste) where elicitation was or could have been profitably used to inform decisions. It is often argued tha作者: 人造 時間: 2025-3-31 02:15 作者: Dealing 時間: 2025-3-31 06:20
Validation in the Classical Model,ical validation. Using data in which experts quantify uncertainty on variables from their fields whose true values are known post hoc, this chapter explains how validation is performed in the Classical Model for structured expert judgment and reviews results for different combination methods.作者: 推遲 時間: 2025-3-31 12:15
SHELF: The Sheffield Elicitation Framework,ert knowledge elicitation exercises to give a transparent and reliable way of collecting expert opinions. The framework is based on the principles of behavioural aggregation where a facilitator-guided group interact and share information to arrive at a consensus. It was originally designed for helpi作者: 紳士 時間: 2025-3-31 14:22
IDEA for Uncertainty Quantification,t. The two key mechanisms by which judgements may be pooled across experts are through striving for consensus, via behavioural aggregation, where experts share and discuss information, and via mathematical methods, where judgements are combined using a mechanistic rule. Mixed approaches combine elem作者: Libido 時間: 2025-3-31 20:20
Elicitation and Calibration: A Bayesian Perspective,dgement studies. The few that exist emphasise different aggregation models, but none build a full Bayesian model to combine the judgements of multiple experts into the posterior distribution for a decision maker. Historically, Bayesian concepts have identified issues with current modelling approache作者: 在前面 時間: 2025-4-1 00:45 作者: Insulin 時間: 2025-4-1 03:27 作者: Migratory 時間: 2025-4-1 08:10 作者: 疏遠天際 時間: 2025-4-1 11:00
Elicitation in Target-Oriented Utility, This shifts the focus of utility assessment to the identification of the benchmark and the sources of uncertainty in that benchmark. Identification of the benchmark is often easy when the benchmark is based on a status quo outcome, a preferred outcome or an undesirable outcome. Benchmarks are gener作者: 剛毅 時間: 2025-4-1 15:53
