A CONTINGENCY APPROACH TO CHOICE

Abstract The moment of choice, when a decision option is identified as being preferred, is a key stage in a decision-making process. Some explicit or implicit mechanism, be it optimising, satisficing or a combination of the two, is required to make a choice. Dependable decision-making requires an appropriate choice mechanism, but the process and criteria by which a choice mechanism is selected are seldom addressed. A contingency approach to choice is proposed in which a choice mechanism is selected according to the characteristics of the information available and the meta-level constraints and objectives of the decision-maker. Information used in the choice is characterised according to the extent and type of uncertainty. The importance in effective decision-making of meta-level requirements, for example for inclusive and transparent mechanisms, is discussed. Normative and fuzzy choice mechanisms are cast within a generic framework of choice mechanisms. A new theory of choice based on interval probabilities is introduced for use in some situations where existing theories of choice are inappropriate.

[1]  Richard Bellman,et al.  Decision-making in fuzzy environment , 2012 .

[2]  David I Blockley Risk based structural safety methods in context , 1999 .

[3]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Paul Krause,et al.  Representing Uncertain Knowledge , 1993, Springer Netherlands.

[5]  Henry Mintzberg,et al.  The Structure of "Unstructured" Decision Processes , 1976 .

[6]  David I Blockley Reliability or responsibility , 1985 .

[7]  D. Schoen,et al.  The Reflective Practitioner: How Professionals Think in Action , 1985 .

[8]  David I Blockley,et al.  The nature of structural design and safety , 1980 .

[9]  H. Simon,et al.  The shape of automation for men and management , 1965 .

[10]  James W. Hall,et al.  Uncertain inference using interval probability theory , 1998, Int. J. Approx. Reason..

[11]  Dean Schuyler,et al.  Making a Decision. , 2004, Primary care companion to the Journal of clinical psychiatry.

[12]  Brian J. Loasby,et al.  Choice, Complexity and Ignorance: An Enquiry into Economic Theory and the Practice of Decision-Making , 1976 .

[13]  Ronald Prescott Loui,et al.  Interval-Based Decisions for Reasoning Systems , 2013, UAI.

[14]  James F. Baldwin,et al.  Combining evidences for evidential reasoning , 1991, Int. J. Intell. Syst..

[15]  H. Jeffreys,et al.  The Theory of Probability , 1896 .

[16]  S. Vajda,et al.  GAMES AND DECISIONS; INTRODUCTION AND CRITICAL SURVEY. , 1958 .

[17]  農林水産奨励会農林水産政策情報センター,et al.  The green book : appraisal and evaluation in central government , 2003 .

[18]  L. M. M.-T. Theory of Probability , 1929, Nature.

[19]  A. Dempster UPPER AND LOWER PROBABILITY INFERENCES FOR FAMILIES OF HYPOTHESES WITH MONOTONE DENSITY RATIOS , 1969 .

[20]  Chengchao Xu,et al.  OPTIMAL DESIGN OF WATER DISTRIBUTION NETWORKS USING FUZZY OPTIMIZATION , 1999 .

[21]  B. D. Finetti La prévision : ses lois logiques, ses sources subjectives , 1937 .

[22]  Robert G. Dyson Maximin Programming, Fuzzy Linear Programming and Multi-Criteria Decision Making , 1980 .

[23]  R. J. Bogumil,et al.  The reflective practitioner: How professionals think in action , 1985, Proceedings of the IEEE.

[24]  D. I. Blockley,et al.  Uncertain Inference in Knowledge‐Based Systems , 1987 .

[25]  H. Simon,et al.  Models of Man. , 1957 .

[26]  J. March Ambiguity and the Engineering of Choice , 1979 .

[27]  David Lindley Scoring rules and the inevitability of probability , 1982 .

[28]  David I Blockley PROCESS MODELLING FROM REFLECTIVE PRACTICE FOR ENGINEERING QUALITY , 1999 .

[29]  James Parkin,et al.  A power model of urban infrastructure decision-making , 1994 .

[30]  Glenn Shafer,et al.  A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.

[31]  W. Cui,et al.  Interval probability theory for evidential support , 1990, Int. J. Intell. Syst..

[32]  Andrew P. Sage,et al.  On the management of information imperfection in knowledge based systems , 1986, IPMU.

[33]  James F. Baldwin,et al.  Evidential support logic programming , 1987 .

[34]  G. Shafer Savage revisited , 1990 .

[35]  H. Simon,et al.  On the concept of organizational goal. , 1964 .

[36]  Ronald R. Yager,et al.  A General Approach to Decision Making with Evidential Knowledge , 1985, UAI.

[37]  D. I. Blockley,et al.  Hazard engineering and the management of risk , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.

[38]  S. Kafandaris Decision Sciences: An Integrative Perspective , 1993 .

[39]  J. Baldwin Support Logic Programming , 1986 .

[40]  F. B. Vernadat,et al.  Decisions with Multiple Objectives: Preferences and Value Tradeoffs , 1994 .

[41]  Dominic A. Clark,et al.  Representing uncertain knowledge - an artificial intelligence approach , 1993 .

[42]  S. French Decision Theory: An Introduction to the Mathematics of Rationality , 1986 .