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Author Gelman, Irit Askira
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2012
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract This inquiry centers on an asymmetry, or bias, in the accuracy of multi-criteria, conjunctive, and disjunctive decisions, which originates from fundamental properties of the logical conjunction and disjunction operations. A mathematical-statistical analysis indicates that, as we keep adding criteria to a multi-criteria conjunctive or disjunctive decision rule, errors in the data produce decision errors asymmetrically. As a result, in conjunctive decisions, the probability of a false negative increases while the probability of a false positive decreases. In contrast, in disjunctive decisions, as we keep adding criteria, the probability of a false positive increases while that of a false negative decreases. For instance, in a conjunctive business decision rule, the probability of overlooking a bargain can be far greater than the probability of misjudging an unattractive offer to be a good one. A series of Monte Carlo simulations validates the analytical findings and explores the contribution of several additional factors.
ISSN 19361955
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2012-03-02
Publisher Place New York
e-ISSN 19361963
Journal Journal of Data and Information Quality (JDIQ)
Volume Number 2
Issue Number 4
Page Count 24
Starting Page 1
Ending Page 24

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Source: ACM Digital Library