New tools for decision analysts

This paper presents psychological research that can help people make better decisions. Decision analysts typically: 1) elicit outcome probabilities; 2) assess attribute weights; and 3) suggest the option with the highest overall value. Decision analysis can be challenging because of environmental and psychological issues. Fast and frugal methods such as natural frequency formats, frugal multiattribute models, and fast and frugal decision trees can address these issues. Not only are the methods fast and frugal, but they can also produce results that are surprisingly close to or even better than those obtained by more extensive analysis. Apart from raising awareness of these findings among engineers, the authors also call for further research on the application of fast and frugal methods to decision analysis

[1]  David J. Weiss,et al.  How to Use Multiattribute Utility Measurement for Social Decisionmaking , 2008 .

[2]  P. Todd,et al.  Escaping the tyranny of choice: when fewer attributes make choice easier , 2007 .

[3]  K. Fiedler The dependence of the conjunction fallacy on subtle linguistic factors , 1988 .

[4]  Gary L. Brase Which Statistical Formats Facilitate What Decisions? The Perception and Influence of Different Statistical Information Formats , 2002 .

[5]  Kristopher J Preacher,et al.  On the practice of dichotomization of quantitative variables. , 2002, Psychological methods.

[6]  Jonathan J. Koehler,et al.  The Base Rate Fallacy Reconsidered: Normative, Descriptive and Methodological Challenges , 1996 .

[7]  Gerd Gigerenzer,et al.  Communicating Statistical Information , 2000, Science.

[8]  Eric J. Johnson,et al.  The adaptive decision maker , 1993 .

[9]  G. McClelland,et al.  Negative Consequences of Dichotomizing Continuous Predictor Variables , 2003 .

[10]  B. Fasolo,et al.  Decision technology. , 2001, Annual review of psychology.

[11]  G. Gigerenzer,et al.  Representation facilitates reasoning: what natural frequencies are and what they are not , 2002, Cognition.

[12]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[13]  P M Todd,et al.  Précis of Simple heuristics that make us smart , 2000, Behavioral and Brain Sciences.

[14]  Gregory F. Cooper,et al.  The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..

[15]  Juan A. Carrasco,et al.  Cumulative dominance and heuristic performance in binary multi-attribute choice , 2006 .

[16]  G. Gigerenzer,et al.  Simple tools for understanding risks: from innumeracy to insight , 2003, BMJ : British Medical Journal.

[17]  G. Klein,et al.  Decision Making in Action: Models and Methods , 1993 .

[18]  Lawrence D. Phillips,et al.  The ‘true probability’ problem , 1970 .

[19]  W. Edwards How to Use Multi-Attribute Utility Measurement for Social Decision Making , 1976 .

[20]  John W. Payne,et al.  The adaptive decision maker: Name index , 1993 .

[21]  Laura Martignon,et al.  Naive and Yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees , 2003 .

[22]  D. Kuhn,et al.  Judgements under uncertainty: Heuristics and biases , 1984 .

[23]  F. H. Barron,et al.  SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement , 1994 .

[24]  A. Tversky,et al.  Choices, Values, and Frames , 2000 .

[25]  B. Fischhoff,et al.  Training for calibration. , 1980 .

[26]  James Shanteau,et al.  Reducing the influence of irrelevant information on experienced decision makers , 1984 .

[27]  P. A. Mileman Decision making in health care. Theory, psychology, and applications , 2001 .

[28]  Dennis M. Buede,et al.  The Engineering Design of Systems: Models and Methods , 1999 .

[29]  Cari-Axel S Stael von Holstein,et al.  A Manual for Encoding Probability Distributions. , 1978 .

[30]  Silja Renooij,et al.  Probability elicitation for belief networks: issues to consider , 2001, The Knowledge Engineering Review.

[31]  Ralph L. Keeney,et al.  Book Reviews : Scientific Opportunities and Public Needs: Improv ing Priority Setting and Public Input at the National Institutes of Health. Institute of Medicine. Washington, DC: National Academy Press, 1998, 136 pages, $26.00 , 1998 .

[32]  D R Mehr,et al.  What alters physicians' decisions to admit to the coronary care unit? , 1997, The Journal of family practice.

[33]  M. Björkman,et al.  From Dualism to Pluralism: The Third World in Judgment Under Uncertainty , 1984 .

[34]  B. Fischhoff,et al.  Judged frequency of lethal events , 1978 .

[35]  Rakesh K. Sarin,et al.  Measurable Multiattribute Value Functions , 1979, Oper. Res..

[36]  H. Arkes Costs and benefits of judgment errors: Implications for debiasing. , 1991 .

[37]  David J. Weiss,et al.  SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement , 2008 .

[38]  Glyn Elwyn,et al.  Decision analysis in patient care , 2001, The Lancet.

[39]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[40]  Gerd Gigerenzer,et al.  Calculated Risks: How to Know When Numbers Deceive You , 2002 .

[41]  B. Fischhoff,et al.  Judgment under uncertainty: Debiasing , 1982 .

[42]  G. Gigerenzer,et al.  Teaching Bayesian reasoning in less than two hours. , 2001, Journal of experimental psychology. General.

[43]  Robert T. Clemen,et al.  Naturalistic decision making and decision analysis , 2001 .

[44]  S. S. Wilks,et al.  Probability, statistics and truth , 1939 .

[45]  R. Hogarth,et al.  Confidence in judgment: Persistence of the illusion of validity. , 1978 .

[46]  P. Slovic,et al.  Violence Risk Assessment and Risk Communication: The Effects of Using Actual Cases, Providing Instruction, and Employing Probability Versus Frequency Formats , 2000, Law and human behavior.

[47]  Gerd Gigerenzer,et al.  How to Improve Bayesian Reasoning Without Instruction: Frequency Formats , 1995 .

[48]  P. Juslin,et al.  Judgment and decision making: Neo-Brunswikian and process tracing approaches , 1999 .

[49]  Charles Vlek,et al.  Social Decision Methodology for Technological Projects , 1989 .

[50]  U. Hoffrage,et al.  Fast, frugal, and fit: Simple heuristics for paired comparison , 2002 .

[51]  Gerd Gigerenzer,et al.  “A 30% Chance of Rain Tomorrow”: How Does the Public Understand Probabilistic Weather Forecasts? , 2005, Risk analysis : an official publication of the Society for Risk Analysis.

[52]  Ralph L. Keeney,et al.  A Decision Analysis with Multiple Objectives: the Mexico City Airport , 1973 .

[53]  Ward Edwards,et al.  How to Use Multiattribute Utility Measurement for Social Decisionmaking , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[54]  L. Phillips A theory of requisite decision models , 1984 .

[55]  L. Martignon,et al.  Use of simple heuristics to target macrolide prescription in children with community-acquired pneumonia. , 2002, Archives of pediatrics & adolescent medicine.

[56]  G. Gigerenzer On Narrow Norms and Vague Heuristics: A Reply to Kahneman and Tversky (1996) , 1996 .

[57]  Juan A. Carrasco,et al.  Cumulative Dominance and Heuristic Performance in Binary Multiattribute Choice , 2008, Oper. Res..

[58]  Arthur S. Elstein,et al.  Cognitive processes and biases in medical decision making , 2000 .

[59]  G. W. Fischer Range Sensitivity of Attribute Weights in Multiattribute Value Models , 1995 .

[60]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[61]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[62]  Robin M. Hogarth,et al.  Simple Models for Multiattribute Choice with Many Alternatives: When It Does and Does Not Pay to Face Trade-offs with Binary Attributes , 2005, Manag. Sci..

[63]  E. Brunswik Perception and the Representative Design of Psychological Experiments , 1957 .

[64]  L. Cosmides,et al.  Are humans good intuitive statisticians after all? Rethinking some conclusions from the literature on judgment under uncertainty , 1996, Cognition.

[65]  L. Beach,et al.  Do ranks suffice? A comparison of alternative weighting approaches in value elicitation , 1995 .

[66]  D. Warner North,et al.  A Tutorial Introduction to Decision Theory , 1968, IEEE Trans. Syst. Sci. Cybern..

[67]  J. Baron Thinking and Deciding , 2023 .

[68]  Ronald A. Howard,et al.  The Foundations of Decision Analysis , 1968, IEEE Trans. Syst. Sci. Cybern..

[69]  A. Tversky Elimination by aspects: A theory of choice. , 1972 .

[70]  J. Koehler The base rate fallacy reconsidered: Descriptive, normative, and methodological challenges , 1996, Behavioral and Brain Sciences.

[71]  Lawrence D. Phillips,et al.  Requisite Decision Modelling for Technological Projects , 1989 .

[72]  Roberta Calderwood,et al.  Decision models: some lessons from the field , 1991, IEEE Trans. Syst. Man Cybern..

[73]  Lawrence D. Phillips,et al.  Requisite Decision Modelling: A Case Study , 1982 .