Sentence examples for decision maker variables from inspiring English sources

By [[39], Proposition 5.6], if the functions f and g are fully convex and continuously differentiable and the lower constraint function g does not contain the upper-level decision maker variables and the lower-level value function φ is finite, the condition (4.4) is a sufficient condition for (4.17) holding at point ( x ∗, y ∗, z ∗ ).

This paper examines the role that public transport last mile problems play in mode choice decisions of commuters, while controlling for trip, built environment, and decision maker related variables.

The dashboard serves as a human computer interface and allows a decision maker to adjust decision variables and exchange information with the DSS.

The set (S = S^{1}cap S^{2}cap S^3) is called the relaxed constraint set that every decision maker should select its decision variables from.

In a Markov decision problem with hidden state variables, a decision maker expresses fear that his model is misspecified by surrounding it with a set of alternatives that are nearby as measured by their expected log likelihood ratios (entropies).

These types are differentiated by their objectives, decision makers, factors or variables considered, arena of activity, scale and unit of analysis, handling of an economic dimension, format of results, and method or approach.

Assessing QOL can inform decision makers of the variables that affect QOL most so they can adjust their policies accordingly.

(2004) extended the fuzzy approach of Abo-Sinna (2001) for solving non-linear bi-level and tri-level multiobjective decision making under fuzziness by defining a membership function of each objective function and control variable of each decision maker to formulate a single level programming problem which is simpler to solve than the original problem.

Under the proposed DSS, the decision maker decides on the values of a subset of decision variables.

Robust control theory is a tool for assessing decision rules when a decision maker distrusts either the specification of transition laws or the distribution of hidden state variables or both.

In other words, this variable indicates how much money is at risk when a decision maker tries (unsuccessfully) to reach his maximal possible payoff instead of playing Nash.