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Knowledge and approximations: A formal study under the perspective of information systems and rough set theory

机译:知识和近似:信息系统和粗糙集理论的角度下的正式研究

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摘要

In this article, we aim to bring together the operators of epistemic logic and approximation operators of rough set theory by combining the ideas from epistemic logic and rough set logics. The possible world semantics of epistemic logic is extended to capture a situation where we have a set of states, each representing a possible state of affairs and carrying information about a set of objects regarding a set of attributes. We propose a logic that can be used to reason about the knowledge operator as well as the approximation operators generated from the constituent information systems relative to different set of attributes. The important issues of the proposed logic viz. sound and complete deductive systems with respect to various classes of models are also addressed. (C) 2020 Elsevier Inc. All rights reserved.
机译:在本文中,我们的目标是通过将认识逻辑和粗糙集合逻辑的思路与概念结合起来,将认知逻辑和近似运营商的认知逻辑和近似运营商的运营商联系在一起。 延长了认知逻辑的可能世界语义,以捕获我们拥有一组状态的情况,每个情况都代表可能的事态和携带关于一组属性的一组对象的信息。 我们提出了一种可以用来推理知识运营商以及从组成信息系统相对于不同的属性集产生的近似运算符的逻辑。 拟议逻辑VIZ的重要问题。 还解决了关于各类模型的声音和完整的演绎系统。 (c)2020 Elsevier Inc.保留所有权利。

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