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- W2040793836 abstract "Abstract This paper describes a method for selecting an optimal set of attributes for use in identification schemes and diagnoses. The problem is formulated as a single-objective (or multiobjective) least-cost (or efficient, Pareto-optimal) set-covering program, in which the constraints are based on the information contained within a zero-one array, each of whose rows refers to a distinct pair of objects, and whose columns refer to the attributes; an element of this array is unity if the row pair are distinguishable by the attribute, and is zero otherwise. Intrinsic costs are based on the logical interrelationships in this array; extrinsic costs are obtained from external properties of the attributes. Numerical examples illustrate the procedures. A simulated annealing algorithm for use in the solution of nonlinear and multiobjective set-covering problems is proposed, but not explored in depth." @default.
- W2040793836 created "2016-06-24" @default.
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- W2040793836 date "1987-05-01" @default.
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- W2040793836 title "Optimal attribute sets for identifications and diagnoses" @default.
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- W2040793836 doi "https://doi.org/10.1016/0025-5564(87)90043-5" @default.
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