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Decision Sciences: An Integrative Perspective, by Paul R. Kleindorfer, Howard G. Kunreuther, Paul J. H. Schoemaker
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This long-awaited textbook provides a unified perspective of a rich and varied field. Using a set of illustrative examples, Decision Sciences synthesizes current research about different types of decision making, including individual, group, organizational, and societal. Special attention is given to the linkage between problem finding and problem solving. The principal message emerging from the book is that decision making entails a complex set of processes that need to be understood in order to develop sound prescriptions or policy advice.
- Sales Rank: #3087564 in Books
- Brand: Brand: Cambridge University Press
- Published on: 1993-08-27
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x 1.06" w x 6.22" l, 1.54 pounds
- Binding: Paperback
- 484 pages
- Used Book in Good Condition
Review
"Decision Sciences offers a broad and deep coverage of decision making; individual, group, organizational, and societal. It stresses the need to understand the decision process and integrates this with descriptive insight and prescriptive guidance to make wise decisions. Decision Sciences has defined the field." Ralph L. Keeney, author of Value-Focused Thinking
Most helpful customer reviews
3 of 12 people found the following review helpful.
Ignores Keynes's contributions to decision science
By Michael Emmett Brady
Kleindorfer(K)does a good job of covering the conventional wisdom of the decision science establishment.Tversky and Kahneman,Hogarth and Einhorn,Slovic and Lichtenstein,Shoemaker,Kunreuther,Ellsberg,etc.,are all covered explicitly or implicitly.Unfortunately,the path breaking and monumental discoveries made by John Maynard Keynes in his 1921 magnum opus,A Treatise on Probability,are completely ignored.This is probably due to the misguided importance attached to two extremely poor and inaccurate book reviews of Frank Ramsey that were published in 1922 and 1926,respectively.Ramsey badly misinterpreted Keynes's definitions of the words nonnumerical and nonmeasurable to mean that numbers could rarely be used to calculate an estimate of probability in Keynes's system.In fact,Keynes's argument was that it took two numbers,not one,to generally make an estimate of probability.Nonnumerical meant not by a single numeral.Keynes is the founder of the interval(set)estimate approach to probability.Keynes also specified an index to measure ambiguity which Keynes called the weight of the evidence,w.It is defined on the unit interval between 0 and 1,0
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