福利经济的信仰数据挖掘——粗糙集理论方法

T. Matsuhisa
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引用次数: 1

摘要

本文从数据库理论的逻辑角度考察了不确定条件下的纯交换经济;假设交易者具有多模态的信念逻辑,并在粗糙集表示的不确定性下进行决策。我们提出了经济中期望均衡的一个广义概念,并证明了基本福利定理:经济中的分配是事前帕累托最优的当且仅当它是相对于某个价格系统的某个初始禀赋的信念期望均衡分配。
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Welfare economy on belief in data mining - a rough set theoretical approach
We investigate a pure exchange economy under uncertainty with emphasis on the logical point of view from data base theory; the traders are assumed to have a multi-modal logic of belief and to make their decision under uncertainty represented by rough sets. We propose a generalized notion of expectations equilibrium for the economy, and we show the fundamental welfare theorem: An allocation in the economy is ex-ante Pareto optimal if and only if it is an expectations equilibrium allocation in belief for some initial endowment with respect to some price system.
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