Fuzzy measures and integrals as aggregation operators: solving the commensurability problem

François Modave, V. Kreinovich
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引用次数: 5

Abstract

The aim of this paper is to shed light on the use of fuzzy measures and integrals as aggregation operators in multicriteria decision making. These techniques have been widely used on an ad hoc basis, but with no axiomatization. It is possible to obtain preference representation theorems in multicriteria decision making problems, relying on a formal parallelism between decision under uncertainty and multicriteria decision making. Though, it raises some commensurability problems. In this paper, we show how to obtain an axiomatization of multicriteria decision making problems, in a very natural way, and we show how to solve the commensurability problem in a particular case.
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作为聚合算子的模糊测度和积分:可通约性问题的求解
本文的目的是阐明模糊测度和积分作为聚合算子在多准则决策中的应用。这些技术已经被广泛地应用于特殊的基础上,但没有公理化。在多准则决策问题中,依赖于不确定性决策与多准则决策之间的形式化并行性,可以得到偏好表示定理。不过,它也提出了一些可通约性问题。在本文中,我们展示了如何以一种非常自然的方式获得多准则决策问题的公理化,并展示了如何解决特定情况下的可通约性问题。
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