Balanced Fuzzy Petri Nets

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Parallel Processing Letters Pub Date : 2023-11-07 DOI:10.1142/s0129626423400133

Barbara Fryc, Zofia Matusiewicz

引用次数: 0

Abstract

The paper presents a new Petri Net model: BFPN. Balanced Fuzzy Petri Nets make it possible to model processes that consider gain and loss calculations at the same time. Many business processes need to consider the ability to model a scarcity or loss situation. Balanced fuzzy sets and relations allow a complete visualization and interpretation of the processes.

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平衡模糊Petri网

本文提出了一种新的Petri网模型:BFPN。平衡模糊Petri网使得同时考虑增益和损失计算的过程建模成为可能。许多业务流程需要考虑对稀缺或损失情况建模的能力。平衡的模糊集和关系允许对过程进行完整的可视化和解释。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

0.90

自引率

25.00%

发文量

期刊介绍： Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits