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CONSTRAINED DECISION CRITERIA 1
Author(s) -
Schenkerman Stanley
Publication year - 1975
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.1540-5915.1975.tb00996.x
Subject(s) - decision maker , optimal decision , computer science , mathematical optimization , weighted sum model , function (biology) , decision analysis , decision theory , linear programming , admissible decision rule , decision rule , decision model , operations research , mathematical economics , mathematics , artificial intelligence , decision tree , machine learning , statistics , evolutionary biology , biology
The choice of a suitable decision criterion is a difficult decision for many decision makers. In general, each criterion selects a different optimal act, each having its own appealing features. This paper proposes an approach allowing the decision maker to incorporate multiple criteria into an easily solved mathematical programming model whose solution is the optimal act. Optimality is defined by the objective function used in the model. The constraints embody the decision maker's anxieties and minimal desires.