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{{Short description|Decision-making strategy}} ...mes that [[compromise]] is acceptable for conflict resolution and that the decision maker wants a solution that is the closest to the ideal, so the alternative ...

...s and products a consumer initially thinks of when faced with a purchasing decision.<ref>{{Cite web|url=https://www.monash.edu/business/marketing/marketing-dic ...ot Too Much and Not Too Little: Information Processing for a Good Purchase Decision|first1=Claudia|last1=Vogrincic-Haselbacher|first2=Joachim I.|last2=Krueger| ...

...terest of aggregating fuzzy sets rather than crisp values in soft decision making and data mining. ...tain information with uncertain weights via OWA mechanism in soft decision making and data mining, where these uncertain objects are modelled by [[fuzzy set] ...

'''Single-peaked preferences''' are a class of [[preference relation]]s. A group has single-peaked preferences over a set of outcomes if the outcomes can be ...lack|first=Duncan|date=1948-02-01|title=On the Rationale of Group Decision-making|url=https://www.journals.uchicago.edu/doi/abs/10.1086/256633|journal=Journa ...

...to solve [[Multiple-criteria decision analysis|multiple criteria decision-making problems]]. Here, <math>\xi \left(j\right)\in (0,1]</math> denotes the Dyna ...ing grey system theory e.g., International Association of Grey Systems and Decision Sciences (IAGSUA), Chinese Grey System Association (CGSA), Grey Systems Soc ...

=== General decision-making === RSD can be defined for the more general setting in which the group has to select a single alternative from a set of alternatives. In this sett ...

...book|last = Doumpos|first = M.|author2=Zopounidis, C|title = Multicriteria Decision Aid Classification Methods|publisher = Kluwer|location = Heidelberg|year = ...gories is adjusted over time to take into consideration the changes in the decision environment. ...

...e random dot kinetogram task, in which a participant must decide whether a group of moving dots are predominately moving "left" or "right". The results of t }}</ref> A 2AFC task has also been designed to test [[decision making]] and the interaction of reward and probability learning in monkeys.<ref na ...

...ORGC>{{cite arXiv |last=Toren |first=Yizhar |date=2011 |title=Ordinal Risk-Group Classification |class=stat.ML |eprint=1012.5487}} ...assification and regression tree|CART]], which can provide a simple set of decision rules and calculations but cannot ensure the monotonicity of the scale acro ...

...ihang Lin, Dengyong Zhou; 16(Jan):1−46, 2015.</ref>''' is a smart decision-making strategy developed by [[Xi Chen]], Qihang Lin and Dengyong Zhou in 2013 to ...www.eecs.umich.edu/~baveja/Papers/Thesis.ps.gz Learning to Solve Markovian Decision Processes] by [http://www.eecs.umich.edu/~baveja/ Satinder P. Singh]</ref>( ...

...and question answering. In all these cases, it is natural to formulate the decision problem as a constrained optimization problem, with an objective function t ...ency between these models is considered only at decision time via a global decision process. The advantages of each approach are discussed in <ref>Vasin Punyak ...

...hod for Real Option Valuation | journal=Journal of Applied Mathematics and Decision Sciences | volume=2009 | pages= 1–14 | doi= 10.1155/2009/238196 | doi-acces ...ng three or four cash-flow scenarios (most often created by an expert or a group of experts). The pay-off distribution is created simply by assigning each o ...

...sses are predicted for a single sample.<ref name="bishop" />{{rp|182}}<ref group=note>In [[multi-label classification]], OvR is known as ''binary relevance' Making decisions means applying all classifiers to an unseen sample {{mvar|x}} and ...

{{Short description|Method for group decision-making}} ...an voting rule''' or '''median mechanism''' is a rule for [[group decision-making]] along a one-dimensional domain. Each person votes by writing down his/her ...

...sing,<ref name="ref9"/> and accelerated learning in decentralized decision making.<ref name="ref8"/> A Double Thompson Sampling (D-TS)<ref name="Wu2016DTS" / Probability matching is a decision strategy in which predictions of class membership are proportional to the c ...

{{Short description|Multiple-criteria decision analysis method}} ...teria decision analysis]] method that aids in solving the [[group decision-making]] problems based on [[preference relation]]s. ...

...rences, then society must adopt a [[utilitarian rule]] for social decision making. ...bility theorem |url=https://doi.org/10.1007/BF00126382 |journal=Theory and Decision |language=en |volume=11 |issue=3 |pages=289–317 |doi=10.1007/BF00126382 |is ...

...}</math> should be represented, and on the y-axis, the risk in the treated group <math>\scriptstyle{(Rt)}</math><ref>L’Abbe, K. A.; Detsky, A. S.; O’Rourke, ...ontier) has the advantage of leading directly to an individual prediction, making personalized medicine a practical reality. The <math>\scriptstyle{X}</math> ...

...t serves as a formal argument for the idea of [[wisdom of the crowd]], for decision of [[Question of fact|questions of fact]] by [[jury trial]], and for [[demo ...d when the group size tends to infinity, the probability that the majority decision is correct tends to 1. ...

...</ref> as part of the Distributed (Deep) Machine Learning Community (DMLC) group. Initially, it began as a terminal application which could be configured us It was soon integrated with a number of other packages making it easier to use in their respective communities. It has now been integrate ...