Abstract
The assessment of value functions requires a specially-designed process in which the value system of the assessor is revealed and represented analytically. In practical situations this process is directed by an analyst and follows a pre-structured scheme11 (cf. Bogetoft, 1986). The assessment aims at establishing the appropriate form for the value function model (additive, multiplicative, and so on) and at estimating the marginal value functions and weights which represent the preferences of the assessor.
“Both the model form and the model parameters are only approximations to those actually contained in the minds of our evaluators” (Huber, 1974).
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The assessor can be the decision maker, an expert, a stakeholder or a group of people providing collective answers to the questions posed by the analyst. The analyst can be a single person, a computerised system or a combination of the two in which the interaction between assessor and computer is guided by an intermediator. The assessor is referred to as masculine. As usual, no conclusions can be drawn from this.
Several other terms are used to distinguish between decomposed and holistic scaling. Zeleny (1982) distinguishes between direct and indirect interrogation; Shoemaker and Waid (1982) between subjective and statistical; Currim and Sarin (1984) between analytic and statistical; Horsky and Rao (1984) between direct and estimated-parameter assessment; Huber (1974) between two-stage-rating (rating of values and of weights) and regression-like procedures; Barron and Person (1979) between direct and holistic assessment; Jacquet-Lagrèze (1990) between aggregation and disaggregation. In Green and Srinivassan (1990) the decomposed scaling approach is called self-explication modelling, while the holistic scaling is (unfortunately) called decompositional modelling.
The subscript i in xi*, xi’and so on is omitted to simplify the notation.
See Green and Srinivassan (1990), Equation 1, for an analytical relationship between the number of estimated parameters (point estimates of value functions and weights), the number of profiles evaluated and the expected mean square error of the model prediction.
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© 1997 Springer Science+Business Media Dordrecht
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Beinat, E. (1997). Assessment techniques for multiattribute value functions. In: Value Functions for Environmental Management. Environment & Management, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8885-0_3
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DOI: https://doi.org/10.1007/978-94-015-8885-0_3
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