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摘要翻译：
本文讨论了决策者对每个属性的偏好以及对准则集合（相互作用准则）的偏好的信息与哪些模型相匹配的问题。我们证明了由这些信息诱导的条件加上一些直观的条件导致了一个唯一的可能的聚集算子：Choquet积分。
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英文标题：
《The Choquet integral for the aggregation of interval scales in
multicriteria decision making》
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作者：
Christophe Labreuche (TRT), Michel Grabisch (LIP6)
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最新提交年份：
2008
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Discrete Mathematics 离散数学
分类描述：Covers combinatorics, graph theory, applications of probability. Roughly includes material in ACM Subject Classes G.2 and G.3.
涵盖组合学，图论，概率论的应用。大致包括ACM学科课程G.2和G.3中的材料。
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一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
This paper addresses the question of which models fit with information concerning the preferences of the decision maker over each attribute, and his preferences about aggregation of criteria (interacting criteria). We show that the conditions induced by these information plus some intuitive conditions lead to a unique possible aggregation operator: the Choquet integral.
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PDF链接：
https://arxiv.org/pdf/0804.1762
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