decision problem


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decision problem

(theory)
A problem with a yes/no answer. Determining whether some potential solution to a question is actually a solution or not. E.g. "Is 43669" a prime number?". This is in contrast to a "search problem" which must find a solution from scratch, e.g. "What is the millionth prime number?".

See decidability.
References in periodicals archive ?
In the framework phase, he structures and elements of the decision problem are defined: experts, criteria, etc.
Step 1: AHP decomposes a complex decision problem into several sub-problems forming a hierarchy.
The book also mentions that 'the best place to start thinking about a decision problem is with values.
Many researchers used other diverse methods of MCDM to solve the decision problem [2].
Therefore, the multiple attribute decision making problems are more complicated than the single attribute decision problem (Sun et al.
We study the decision problem of the optimal choice between home equity release products from a retired homeowner's perspective in the presence of longevity, long-term care, house price, and interest rate risk.
Hence, the choice of the MCDM method is based, firstly, on the structure of decision problem considered, secondly, on the types of data that can be obtained, and, finally, on the capability to get accurate results.
Reference [13] considers joint pricing and inventory replenishment decision problem over an infinite horizon where sequentially arriving customers are forward-looking to the price of a product sold by a seller.
The term strategy seems to more aptly describe a behavioral plan for solving or deferring a career decision problem.
Mapping the question to the definition requires a careful discussion of units and measurement, as well as the relationship between opportunity cost and the economic decision problem.
According to this author, the search for a good decision needs to involve an efficient characterization of the alternatives related to the decision problem, its consequences, preferences of agents related to the problem and, in uncertain conditions, a complete description of the risks (Howard, 1988; Howard, 2004).
Data becomes information, when it becomes relevant to a decision problem.