Nov 15, 2013 · This paper presents comprehensive methods for handling linear programs with mixed uncertainties which also preserve all details about uncertain ...
This paper presents comprehensive methods for handling linear programs with mixed uncertainties which also preserve all details about uncertain data.
This paper presents comprehensive methods for handling linear programs with mixed uncertainties which also preserve all details about uncertain data as sets ...
Nov 15, 2013 · This paper presents comprehensive methods for handling lin- ear programs with mixed uncertainties which also preserve all details about ...
Bibliographic details on Pessimistic, optimistic, and minimax regret approaches for linear programs under uncertainty.
Uncertain data appearing as parameters in linear programs can be categorized variously. This paper deals with merely probability, belief (necessity), ...
Oct 7, 2012 · The minimax regret strategy is the one that minimises the maximum regret. It is useful for a risk-neutral decision maker. Essentially, this is ...
Let's look at three ways of making business decisions without using probabilities: the optimistic approach, the conservative approach and the minimax approach.
The third classic strategy for decision making under risk is called the minimax regret strategy, and is neither purely optimistic nor conservative. ... It is ...
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Minimax Regret Approach. >Construct a regret (opportunity loss) table. >For ... expected regret under the optimal decision under uncertainty. >D1 was the ...