Multiattribute Decision Making

H. A. Eiselt and Carl-Louis Sandblom
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H. A. Eiselt: University of New Brunswick
Carl-Louis Sandblom: Dalhousie University

Chapter 11 in Operations Research, 2022, pp 385-399 from Springer

Abstract: Abstract The models and methods in this chapter all consider problems, in which the consequences of a decision are no longer one-dimensional, while, in contrast to the scenario in decision analysis, the outcomes are deterministic. In other words, if we were to, say, change the composition of a soft drink we manufacture or change the features on a cell phone, we do not just deal with profit as a result of this decision, but face changing customer acceptance (and demand) for the product, different costs, changing market share, customer satisfaction, and other factors, all of which will influence short- and long-term viability of the firm. The models discussed in this chapter are similar to those in the chapter on multiobjective optimization, except that the models in this chapter are discrete: we face only a finite (and usually fairly small) number of choices.

Date: 2022
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DOI: 10.1007/978-3-030-97162-5_11

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