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Titlebook: Aiding Decisions with Multiple Criteria; Essays in Honor of B Denis Bouyssou,Eric Jacquet-Lagrèze,Philippe Vinck Book 2002 Springer Science

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https://doi.org/10.1007/978-3-642-51373-2onceived in a constructivist perspective. After a brief presentation of a philosophical framework, that of Habermas’s theory of orders of validity, which enables us to talk of the “true” and the “good” by defining procedural-type criteria of validity, we attempt to situate decision-aid within this p
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,Projektübergreifende Co-Creation Tools,iple is grounded by strong evidence from real life decision situations, the way in which it has been implemented in existing MCDA methods allows only for its partial and limited use. Indeed, the principle lacks a theoretical frame enabling a more general use in decision analysis. The paper presents
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Theorie und Sachlogik als Ausgangspunkt, two decades several non-parametric approaches have been developed to address the classification problem, originating from several scientific fields. Among these approaches, multicriteria decision aid (MCDA) has several attractive features, involving its decision support orientation. This paper is f
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https://doi.org/10.1007/978-3-8350-9235-8oblems. The numerical function is a general non-additive and non-transitive model of conjoint measurement. The decision rules concern pairs of actions and conclude either presence or absence of a comprehensive preference relation; conditions for the presence are expressed in “at least” terms, and fo
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Research in Management Accounting & Controlch functions directly. In this paper, we relate three different ways of specifying preferences, namely by means of a set of particular types of constraints on the utility function, by means of an ordered set of prioritized goals expressed by logical propositions, and by means of an ordered set of su
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Ergebnisse der empirischen Untersuchung,erms of the ability of the techniques to reproduce indifference between two-criteria outcomes previously judged to be indifferent. To compare the performance before and after gaining familiarity with the techniques, we use data obtained both at the beginning and at the end of the interview sessions.
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