Exact(1)
The aim of this paper is to study the integration of multiplicative preference relation as a preference representation structure in fuzzy multipurpose decision-making problems.
Similar(59)
This approach gives rise to a family of preference representation languages, one for each of a range of possible restrictions we can impose on either formulas or weights.
This paper deals with preference representation on combinatorial domains and preference-based recommendation in the context of multicriteria or multiagent decision making.
Format (Table 2): The majority of family physicians identified a preference for the representation of guidelines as summaries, charts or tables.
In Fontaine (2017b), I argue for a preference for polysemy in lexical representation within the SFL framework.
A usability study with teachers and students showed a preference for this type of representation over a cyclic one (Law, [2013]).
In order to get a cardinal (interval-valued) utility representation of a preference ordering i.e., a measure that represents not only how an agent orders the options but also says something about the desirabilistic "distance" between options we need a richer setting; the option set and the corresponding preference ordering will need to have more structure than for an ordinal utility measure.
It has been shown that a preference relation ≽ has an interval representation if and only if it satisfies completeness and the property that for all A,B,C,D: A≻B ∧ C≻D → A≻D ∨ C≻B.
(Hansson 2001) A preference relation has an exact value representation only if it satisfies both completeness and transitivity.
We compute both consensus criteria in the three representation levels of a preference relation and design an automatic feedback mechanism to guide experts in the consensus reaching process.
Savage's representation theorem gives strong results: starting with a preference ordering alone, we can find a single probability function, and a narrow class of utility functions, which represent that preference ordering.
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