Open AccessTaking comfort in decisions: Implications in a pandemic
Author(s) -
Kurt J. Engemann,
Holmes E. Miller
Publication year - 2022
Publication title -
intelligent decision technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.206
H-Index - 13
eISSN - 1875-8843
pISSN - 1872-4981
DOI - 10.3233/idt-210059
Subject(s) - measure (data warehouse) , pandemic , outcome (game theory) , value (mathematics) , risk analysis (engineering) , operations research , sensitivity (control systems) , decision analysis , actuarial science , computer science , management science , psychology , covid-19 , environmental economics , economics , business , microeconomics , engineering , medicine , machine learning , data mining , mathematical economics , disease , pathology , electronic engineering , infectious disease (medical specialty)
A pandemic affects both individuals and groups in various ways, requiring that consequential decisions be satisfactory to multiple constituencies. The ultimate objective is to foster a balanced decision-making environment where, while each constituency might not obtain its optimal outcome, the outcomes are aligned and, in some measure, good enough overall. To determine the value of alternatives, we use the Comfort Decision Model, utilizing attitudinal measures. Sensitivity of the resulting decision is demonstrated and a measure of satisfaction to the implemented alternative is proposed.