Making Better Decisions

Editora:

Springer Nature B.V.

Código:

491_9783030494575

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This book offers a comprehensive introduction to decision-making in an MCDM framework. Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information. This includes the concept of nondominance, Simons bounded rationality, Tversky and Kahnemans prospect theory, and the concepts of behavioral vs. mathematical convergence and premature stopping put forward by Korhonen, Moskowitz and Wallenius. The book concludes with a non-technical review of many popular decision algorithms, including the Analytic Hierarchy Process (AHP), VIMDA, and a number of classic interactive man-machine algorithms. In essence, the book is a one-stop source on everything you need to know about managerial decision-making in the multiple-criteria setting.

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