多业务通信网络可持续运行决策过程建模

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. Muradova
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引用次数: 8

摘要

本文利用模糊逻辑模型的数学装置,对保证多业务通信网络稳定运行的决策过程进行了建模。对影响MCN稳定性的主要因素进行了分类。影响MCN结构稳定性的主要因素有外部因素、内部因素、能量因素和维护因素。选择了一种决策策略(DM)。影响MCN功能稳定性的主要因素具有异质性。因此,DM确保MCN功能稳定性的任务被简化为产生以下相关任务的顺序解决方案:通过系统分析影响MCN稳定性的主要因素来识别MCN,对MCN的状态进行排序,并定义决策标准。第一点是在综合模糊集合论原理的基础上,建立了MCN的复杂模型。选择合理备选方案的一种很有前途的方法是非支配备选方案法(MNDA),该方法基于模糊信息的集合,根据某些标准来表征备选方案之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling of Decision-making Processes to Ensure Sustainable Operation of Multiservice Communication Network
This paper shows the modeling of decision-making processes to ensure stable operation of multiservice communication networks (MCNs) using the mathematical apparatus of fuzzy logic models. A classification of the main factors affecting the stability of an MCN is given. The main factors affecting the structural stability of MCNs are external factors, internal factors, energy factors, and maintenance factors. A decision-making strategy (DM) was chosen. The main factors that affect the stability of the functioning of an MCN are characterized by heterogeneity. Therefore, the task of the DM to ensure stability of the functioning of the MCN was reduced to producing a sequential solution of the following interrelated tasks: identification of the MCN by a systematic analysis of the main factors affecting the stability of the MCN, ranking the states of the MCN, and definition of the decision-making criteria. The first point is implemented by setting up a complex model of the MCN based on integration of the principles of fuzzy set theory (FST). A promising method for choosing a rational alternative is the method of non-dominated alternatives (MNDA), based on the aggregation of fuzzy information to characterize the relationship between the alternatives according to certain criteria.
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来源期刊
Journal of ICT Research and Applications
Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.60
自引率
0.00%
发文量
13
审稿时长
24 weeks
期刊介绍: Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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