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Selecting Attributes to Measure the Achievement of Objectives
Author(s) -
Ralph L. Keeney,
Robin Gregory
Publication year - 2005
Publication title -
operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.797
H-Index - 140
eISSN - 1526-5463
pISSN - 0030-364X
DOI - 10.1287/opre.1040.0158
Subject(s) - measure (data warehouse) , computer science , statement (logic) , proxy (statistics) , foundation (evidence) , meaning (existential) , management science , problem statement , operations research , risk analysis (engineering) , data mining , machine learning , mathematics , business , history , psychology , archaeology , political science , law , economics , psychotherapist
The foundation for any decision is a clear statement of objectives. Attributes clarify the meaning of each objective and are required to measure the consequences of different alternatives. Unfortunately, insufficient thought typically is given to the choice of attributes. This paper addresses this problem by presenting theory and guidelines for identifying appropriate attributes. We define five desirable properties of attributes: they should be unambiguous, comprehensive, direct, operational, and understandable. Each of these properties is discussed and illustrated with examples, including several cases in which one or more of the desirable properties are not met. We also present a decision model for selecting among the different types of natural, proxy, and constructed attributes.

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