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Making Better DecisionsDifferent Paradigms of Decision-Making

Making Better Decisions: Different Paradigms of Decision-Making [All students of Decision Analysis and Operations Research have been taught that decision-making is choice-based, in other words it involves making choices. We have been taught that decision-makers compile a list of decision alternatives, which they evaluate with one or several criteria, often subject to uncertain states of nature. Then they choose the best or most preferred alternative from this list, using some appropriate decision rule. In case of uncertainty, the most common decision rule corresponds to maximizing expected utility. Raiffa’s book Decision Analysis is a wonderful example. In case of riskless choice under multiple criteria, the decision rule may simply be a weighted average, where the weights represent the ‘importance’ of the criteria. Students of Decision Analysis are taught that the decision-maker knows all decision alternatives and can quantitatively evaluate them in terms of relevant criteria. Alternatively, one can implicitly define the decision alternatives via a mathematical model. In this case we talk about Multiple Criteria Decision Making or optimization. In either case, the choice from the available decision alternatives is open.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Making Better DecisionsDifferent Paradigms of Decision-Making

Part of the International Series in Operations Research & Management Science Book Series (volume 294)
Korhonen, Pekka J.; Wallenius, Jyrki
Springer Journals — Aug 19, 2020
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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-49457-5
Pages
1 –4
DOI
10.1007/978-3-030-49459-9_1
Publisher site
See Chapter on Publisher Site

Abstract

[All students of Decision Analysis and Operations Research have been taught that decision-making is choice-based, in other words it involves making choices. We have been taught that decision-makers compile a list of decision alternatives, which they evaluate with one or several criteria, often subject to uncertain states of nature. Then they choose the best or most preferred alternative from this list, using some appropriate decision rule. In case of uncertainty, the most common decision rule corresponds to maximizing expected utility. Raiffa’s book Decision Analysis is a wonderful example. In case of riskless choice under multiple criteria, the decision rule may simply be a weighted average, where the weights represent the ‘importance’ of the criteria. Students of Decision Analysis are taught that the decision-maker knows all decision alternatives and can quantitatively evaluate them in terms of relevant criteria. Alternatively, one can implicitly define the decision alternatives via a mathematical model. In this case we talk about Multiple Criteria Decision Making or optimization. In either case, the choice from the available decision alternatives is open.]

Published: Aug 19, 2020

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