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...techniques for [[Multi-criteria decision analysis|multi-attribute decision making]]. The method was developed in 1972 by P. Brown and D. Gibson.<ref>{{cite j ...science)|objective]] and [[subjectivity|subjective]] factors in [[decision making]]. ...

{{Short description|Form of decision making in machine learning}} The '''multi-surface method''' (MSM) is a form of decision making using the concept of piecewise-linear separability of datasets to categoriz ...

...between taking some specific action or not taking it.<ref>{{citation|title=Making Critical Decisions: A Practical Guide for Nonprofit Organizations|first1=Ro *[[Decision tree]]s and [[binary decision diagram]]s, representations for sequences of binary decisions.<ref>{{citati ...

...Yao|first=Y.Y.|author2=Wong, S.K.M. |author3=Lingras, P.|year=1990|title=A decision-theoretic rough set model|journal=Methodologies for Intelligent Systems, 5, The following contains the basic principles of decision-theoretic rough sets. ...

In the mathematical subjects of [[information theory]] and [[decision theory]], '''Blackwell's informativeness theorem''' is an important result ...rmation structure <math>\sigma </math> over <math>\sigma '</math>, for any decision problem. The result was first proven by [[David Blackwell]] in 1951, and ge ...

{{Short description|Model for decision analysis}} In [[decision theory]], the '''weighted sum model''' ('''WSM'''),<ref> ...

...nd examine decision makers’ concepts, as well as a tool for refining their decision knowledge and facilitating knowledge sharing in a scalable manner. ...=1970}}</ref> Following the de facto international standard (CSA, 1970), a decision table contains three building blocks: the conditions, the actions (or decis ...

{{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 ...

'''The decentralized partially observable Markov decision process (Dec-POMDP)'''<ref>{{Cite journal | title=The Complexity of Decentralized Control of Markov Decision Processes ...

{{Short description|Faced by a decision-maker considering present, future}} ...mization|constraint]] faced by a [[decision theory|decision maker]] who is making choices for both the present and the future. The term intertemporal is used ...

...ti-criteria decision analysis]] (MCDA)&nbsp;/&nbsp;multi-criteria decision making (MCDM) method. It is similar to the [[weighted sum model]] (WSM) in that i ...s compared with the others by multiplying a number of ratios, one for each decision criterion. Each ratio is raised to the power equivalent to the relative we ...

{{Short description|School of thought within decision theory}} ...st=Arif |author-link=Arif Ahmed (philosopher) |date=2021 |title=Evidential Decision Theory |publisher=Cambridge University Press |isbn=9781108607865}}</ref>{{r ...

* Resources or time are limited, making extensive data collection impractical. * An acceptable level of accuracy is sufficient for decision-making or trend prediction. ...

...many possible future possibilities and using the results to guide decision-making. ...earch iteratively builds a search tree T representing the state space of a decision problem. Each node s in T represents a state, with child nodes representing ...

...ics|prescribes]] the process of making decisions in a context in which the decision-maker is faced with [[random variable]]s whose realizations cannot be known ...sion model is that of [[modern portfolio theory]], which gives rise to the decision portion of the [[Capital Asset Pricing Model]]; these employ '''mean-varian ...

{{Short description|Non-probabilistic decision-making model}} ...t bad outcome. It is one of the most important models in [[robust decision making]] in general and [[robust optimization]] in particular. ...

'''Decision curve analysis''' evaluates a predictor for an event as a probability thres ...cal decisions like performing biopsy will provide benefit over alternative decision criteria, given a specified threshold probability. ...

...arginal utilities]] are diminishing across the ranges relevant to decision-making. ...

{{Short description|Multi-criteria decision analysis method}} ...st3=Liu |first3=T.Y. |title=A new approach for multiple objective decision making |journal=Computers and Operational Research |year=1993 |volume=20 |issue=8 ...

...set'' which is the [[convex hull]] of the risk points of the nonrandomised decision rules. A statistical test making use of a randomized decision rule is called a '''randomized test'''. ...