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Decision analysis

About: Decision analysis is a(n) research topic. Over the lifetime, 14916 publication(s) have been published within this topic receiving 497922 citation(s). The topic is also known as: Decision aids.
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Book
01 Jan 1976-
Abstract: Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives. The theory is illustrated by many real concrete examples taken from a host of disciplinary settings. The standard approach in decision theory or decision analysis specifies a simplified single objective like monetary return to maximise. By generalising from the single objective case to the multiple objective case, this book considerably widens the range of applicability of decision analysis.

8,891 citations


Journal ArticleDOI
TL;DR: This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge discovery from databases, expert systems, decision support systems, inductive reasoning, and pattern recognition.
Abstract: Rough set theory, introduced by Zdzislaw Pawlak in the early 1980s [11, 12], is a new mathematical tool to deal with vagueness and uncertainty. This approach seems to be of fundamental importance to artificial intelligence (AI) and cognitive sciences, especially in the areas of machine learning, knowledge acquisition, decision analysis, knowledge discovery from databases, expert systems, decision support systems, inductive reasoning, and pattern recognition.

7,155 citations


BookDOI
01 Jan 1981-

5,565 citations


Journal ArticleDOI
Abstract: We analyze a sequential decision model in which each decision maker looks at the decisions made by previous decision makers in taking her own decision. This is rational for her because these other decision makers may have some information that is important for her. We then show that the decision rules that are chosen by optimizing individuals will be characterized by herd behavior; i.e., people will be doing what others are doing rather than using their information. We then show that the resulting equilibrium is inefficient.

5,536 citations


Book
01 Jan 1993-
TL;DR: The adaptive decision maker: a look backward and a look forward Appendix Footnotes Bibliography.
Abstract: Preface 1. Adaptive decision behaviour: an introduction 2. Contingencies in decision making 3. Deciding how to decide: an effort/accuracy framework 4. Studying contingent decisions: an integrated methodology 5. Constructive processes in decision making 6. Why may adaptivity fail? 7. Improving decisions and other practical matters 8. The adaptive decision maker: a look backward and a look forward Appendix Footnotes Bibliography.

3,984 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20226
2021179
2020206
2019226
2018242
2017463

Top Attributes

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Topic's top 5 most impactful authors

Ralph L. Keeney

40 papers, 14.9K citations

Love Ekenberg

40 papers, 728 citations

Mats Danielson

37 papers, 771 citations

Raimo P. Hämäläinen

34 papers, 2.3K citations

Igor Linkov

24 papers, 522 citations