A decision model in decision theory is the starting point for a decision method within a formal (axiomatic) system. Decision models contain at least one...

the Decision Model and Notation (DMN) is a standard published by the Object Management Group. It is a standard approach for describing and modeling repeatable...

Decision-making as a term is a scientific process when that decision will affect a policy affecting an entity. Decision-making models are used as a method...

computational complexity the decision tree model is the model of computation in which an algorithm is considered to be basically a decision tree, i.e., a sequence...

A decision tree is a decision support hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event...

a Markov decision process (MDP) is a discrete-time stochastic control process. It provides a mathematical framework for modeling decision making in situations...

situation. This model suggests the selection of a leadership style of groups decision-making. The Vroom-Yetton-Jago Normative Decision Model helps to answer...

of conceptual models, under the assumption that those making the decisions are behaving under some consistent rules. Descriptive decision theory: Analyzes...

(problem analysis and decision-making) all over again There are steps that are generally followed that result in a decision model that can be used to determine...

In decision theory, economics, and finance, a two-moment decision model is a model that describes or prescribes the process of making decisions in a context...

leadership and decision-making, developed the normative model of decision-making. Drawing upon literature from the areas of leadership, group decision-making...

Camunda Platform ships with tools for creating workflow and decision models, operating deployed models in production, and allowing users to execute workflow...

classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable...

(EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS) evolved from the single user and model-oriented DSS....

Satisficing is a decision-making strategy or cognitive heuristic that entails searching through the available alternatives until an acceptability threshold...

Weighted product model (WPM) Weighted sum model (WSM) Architecture tradeoff analysis method Decision-making Decision-making software Decision-making paradox...

Business process modeling; they are usually formatted as the transpose of the way they are formatted in Software engineering. Each decision corresponds to...

A decision cycle is said to occur when an explicitly specified decision model is used to guide a decision and then the outcomes of that decision are...

realm—often modeled as mere human behavior—into the realm of the rational choice behavior that is modeled in decision theory. Regret theory is a model in theoretical...

quantitative decision-analysis model, uncertainties are represented through probabilities -- specifically, subjective probabilities. The decision maker's attitude...

Models of judicial decision making are developed by researchers and scholars to provide an explanation for the votes of United States Supreme Court Justices...

developed, addressing case management modeling (Case Management Model and Notation) and decision modeling (Decision Model and Notation). BPMN is constrained...

some model compression techniques allow transforming an XGBoost into a single "born-again" decision tree that approximates the same decision function...

Attribute-Driven Design 3.0 and domain-specific decision guidance models for more examples. This is an example of a decision made, which is formatted according to...

techniques or where traditional models seem to have reached a barrier (e.g., human memory), and modeling preferences in decision theory that seem paradoxical...

make a decision best for survival. The Motivation-Decision Model, suggested by Howard L. Fields, is centered around the concept that decision processes...

chain of cause and effect, and decision modeling is a visual language for representing these chains. A related field, decision engineering, also investigates...

In probability theory, a Markov model is a stochastic model used to model pseudo-randomly changing systems. It is assumed that future states depend only...

The garbage can model (also known as garbage can process, or garbage can theory) describes the chaotic reality of organizational decision making in an organized...

The cost-loss model, also called the cost/loss model or the cost-loss decision model, is a model used to understand how the predicted probability of adverse...