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Aug, 2023
一般粗糙集合中合格聚合的代数模型与推理偏差发现
Algebraic Models for Qualified Aggregation in General Rough Sets, and Reasoning Bias Discovery
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TL;DR
在广义粗糙集中,将两个事物结合形成另一个事物并不简单。本研究创造了结合事物的代数模型,用于研究人类推理中的怀疑主义或悲观主义聚合以及可能性聚合,并且选择的运算受到了视角的限制。该模型还适用于研究人类推理中的歧视性/有害行为以及学习此类行为的机器学习算法。
Abstract
In the context of general
rough sets
, the act of combining two things to form another is not straightforward. The situation is similar for other theories that concern
uncertainty
and
→