Abstract
Decision-making is above all a human activity in which value judgments about the attractiveness of options play a key role. The integration of technology and human decisions by means of the design and use of tools for the representation of value judgments that are simultaneously semantically meaningful, practically operational (user-friendly) and theoretically well founded is therefore an important research challenge. The macbeth approach (Measuring Attractiveness by a Categorical Based Evaluation Technique) overviewed in this paper is a contribution in that direction. macbeth is an approach designed for building a cardinal scale measuring the attractiveness of options, throughout a learning process supported by a visual interactive software. This is interesting for decision-making when one wants to measure by how much an option is better than another one. Moreover, cardinal preference information is required to meaningfully perform operations with numerical scales, such as comparison of average sums, as required by multi-attribute value theory.
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e Costa, C.A.B., Vansnick, JC. (2000). Cardinal Value Measurement with Macbeth. In: Zanakis, S.H., Doukidis, G., Zopounidis, C. (eds) Decision Making: Recent Developments and Worldwide Applications. Applied Optimization, vol 45. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-4919-9_21
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DOI: https://doi.org/10.1007/978-1-4757-4919-9_21
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