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Agent Preference Relations: Strict, Indifferent and Incomparable

机译:业务代表偏好关系:严格,冷漠和无与伦比

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摘要

In traditional preference modeling approaches, agents can express preferences among a pair of alternatives in three distinct ways: either an agent has a strict preference of one alternative compared to the other, or is indifferent between both alternatives, or considers the two alternatives as incomparable. These three preference relations are disjunct, and take the crisp binary values of 0 and 1 only. We propose in this paper a fuzzy preference model to relax these dichotomous conditions: an agent can have at the same time a degree of preference, indifference and incomparability among any pair of alternatives, taking values in the interval. This increased preference modeling flexibility allows for a far more detailed analysis of the agents' (partial) preference orderings, which can now be analyzed at different degrees of precision. We illustrate how this analysis can be performed on the preference relations of an individual agent, as well as in the case of two interacting agents. While incomparabilities are inherent to our preference model, it may be useful to resolve these incomparabilities to transform the partial orderings into linear orders. We therefore also present a model of reasoning for the resolution of such incomparabilities by an agent who forms beliefs over the expected orderings.
机译:在传统的偏好建模方法中,代理可以以三种不同的方式在一对替代方案之间表达偏好:一个代理相对于另一个替代方案具有严格的优先选择,或者两个替代方案之间无差异,或者认为这两个替代方案不可比。这三个优先关系是分离的,并且仅采用清晰的二进制值0和1。在本文中,我们提出了一种模糊偏好模型来缓解这些二分条件:代理可以同时具有任意程度的偏好,冷漠和不可比性,取其对值作为区间。这种增加的偏好建模灵活性可以对代理(部分)偏好排序进行更详细的分析,现在可以以不同的精确度对其进行分析。我们说明了如何在单个代理的偏好关系上以及在两个交互代理的情况下执行此分析。虽然不相容性是我们偏好模型固有的,但解决这些不相容性以将部分顺序转换为线性顺序可能很有用。因此,我们还提出了一种推理模型,该模型为对预期订购形成信念的代理商解决了此类不兼容问题。

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