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QUANTITATIVE MEASURES FOR CHARACTERISTICS OF A STATE‐DEPENDENT ASSIGNMENT POLICY
Author(s) -
Halpern Jonathan,
Wand Yair
Publication year - 1980
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1980.tb01131.x
Subject(s) - computer science , task (project management) , implementation , preference , state (computer science) , function (biology) , measure (data warehouse) , operations research , data mining , algorithm , microeconomics , mathematics , programming language , economics , management , evolutionary biology , biology
The paper presents an analytical description of a state‐dependent assignment policy, where different assignments of attributes to objects are employed under different states. Various considerations, other than optimizing an objective function, present themselves for such cases—for example, the existence of groups of assignees with certain levels of intragroup assignment uniformity, the stability of the policy over states, the presence of a revealed preference ordering of the assignments, and others. An approach towards a quantitative treatment of such features of a state‐dependent assignment policy is discussed, and in particular a uniformity measure is defined and its properties are investigated. Potential uses of the model are suggested for urban emergency services, questionnaire analysis, task allocation, medical diagnosis, and dynamic computer program behavior. Three implementations for questionnaire analysis are reported.