One-shot decisions under Linear Partial Information

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One-shot decisions under Linear Partial Information. / Kofler, Edward; Zweifel, Peter.
In: Theory and Decision, Vol. 34, No. 1, 01.01.1993, p. 1-20.

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Kofler E, Zweifel P. One-shot decisions under Linear Partial Information. Theory and Decision. 1993 Jan 1;34(1):1-20. doi: 10.1007/BF01076102

Bibtex

@article{43d3367437bf432f994809ad91b19f38,
title = "One-shot decisions under Linear Partial Information",
abstract = "This paper purports to make a contribution to the analysis of a class of decisions that has received little attention in the literature, although it appears to be of considerable importance. Certain decisions cannot be repeated but must be made under fuzziness in the sense that state probabilities are not exactly known (LPI-fuzziness). The analysis of Linear Partial Information is applied to the principle of neglecting small probabilities found by Allais (1953), enabling the decision maker to break away from the maxmin criterion. By systematic exploitation of the fuzzy information available, strategies are shown to exist that provide payoffs whose lower bound exceeds the maxmin benchmark with sufficiently high probability. The same methodology is shown to be useful for dealing with the case of only ordinal preference orderings that are so typical of those crucial decisions that may be made only once in a lifetime.",
keywords = "Economics, One-shot decision, linear partial information, preference ordering",
author = "Edward Kofler and Peter Zweifel",
year = "1993",
month = jan,
day = "1",
doi = "10.1007/BF01076102",
language = "English",
volume = "34",
pages = "1--20",
journal = "Theory and Decision",
issn = "0040-5833",
publisher = "Springer New York LLC",
number = "1",

}

RIS

TY - JOUR

T1 - One-shot decisions under Linear Partial Information

AU - Kofler, Edward

AU - Zweifel, Peter

PY - 1993/1/1

Y1 - 1993/1/1

N2 - This paper purports to make a contribution to the analysis of a class of decisions that has received little attention in the literature, although it appears to be of considerable importance. Certain decisions cannot be repeated but must be made under fuzziness in the sense that state probabilities are not exactly known (LPI-fuzziness). The analysis of Linear Partial Information is applied to the principle of neglecting small probabilities found by Allais (1953), enabling the decision maker to break away from the maxmin criterion. By systematic exploitation of the fuzzy information available, strategies are shown to exist that provide payoffs whose lower bound exceeds the maxmin benchmark with sufficiently high probability. The same methodology is shown to be useful for dealing with the case of only ordinal preference orderings that are so typical of those crucial decisions that may be made only once in a lifetime.

AB - This paper purports to make a contribution to the analysis of a class of decisions that has received little attention in the literature, although it appears to be of considerable importance. Certain decisions cannot be repeated but must be made under fuzziness in the sense that state probabilities are not exactly known (LPI-fuzziness). The analysis of Linear Partial Information is applied to the principle of neglecting small probabilities found by Allais (1953), enabling the decision maker to break away from the maxmin criterion. By systematic exploitation of the fuzzy information available, strategies are shown to exist that provide payoffs whose lower bound exceeds the maxmin benchmark with sufficiently high probability. The same methodology is shown to be useful for dealing with the case of only ordinal preference orderings that are so typical of those crucial decisions that may be made only once in a lifetime.

KW - Economics

KW - One-shot decision

KW - linear partial information

KW - preference ordering

UR - http://www.scopus.com/inward/record.url?scp=0343794025&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/b995ad96-49f9-3237-872b-bc97047a43c1/

U2 - 10.1007/BF01076102

DO - 10.1007/BF01076102

M3 - Journal articles

AN - SCOPUS:0343794025

VL - 34

SP - 1

EP - 20

JO - Theory and Decision

JF - Theory and Decision

SN - 0040-5833

IS - 1

ER -

DOI