首页> 外文会议>IEEE International Conference on Fuzzy Systems >Exploring Subsethood to Determine Firing Strength in Non-Singleton Fuzzy Logic Systems
【24h】

Exploring Subsethood to Determine Firing Strength in Non-Singleton Fuzzy Logic Systems

机译:探索upbethood以确定非单片机模糊逻辑系统中的射击力量

获取原文

摘要

Real world environments face a wide range of sources of noise and uncertainty. Thus, the ability to handle various uncertainties, including noise, becomes an indispensable element of automated decision making. Non-Singleton Fuzzy Logic Systems (NSFLSs) have the potential to tackle uncertainty within the design of fuzzy systems. The firing strength has a significant role in the accuracy of FLSs, being based on the interaction of the input and antecedent fuzzy sets. Recent studies have shown that the standard technique for determining firing strengths risks substantial information loss in terms of the interaction of the input and antecedents. Recently, this issue has been addressed through exploration of alternative approaches which employ the centroid of the intersection (cen-NS) and the similarity (sim-NS) between input and antecedent fuzzy sets. This paper identifies potential shortcomings in respect to the previously introduced similarity-based NSFLSs in which firing strength is defined as the similarity between an input FS and an antecedent. To address these shortcomings, this paper explores the potential of the subsethood measure to generate a more suitable firing level (sub-NS) in NSFLSs featuring various noise levels. In the experiment, the basic waiter tipping fuzzy logic system is used to examine the behaviour of sub-NS in comparison with the current approaches. Analysis of the results shows that the sub-NS approach can lead to more stable behaviour in real world applications.
机译:真实世界的环境面临各种各样的噪声和不确定性的来源。因此,为了处理各种不确定因素,包括噪声的能力,变得自动化决策的不可缺少的元素。非单点模糊逻辑系统(NSFLSs)有模糊系统的设计中解决不确定性的潜力。烧制强度在FLSS的准确性显著的作用,是基于输入和先行模糊集的互动。最近的研究表明,用于确定烧制强度的标准技术在输入和前所未有的相互作用方面风险大量信息损失。最近,这个问题一直是通过其采用的交集(CEN-NS)和输入和先行模糊集之间的相似性(SIM-NS)的重心替代方法探索解决。在相对于所述先前引入的基于相似性的NSFLSs本文识别潜在的缺陷,其中击发强度被定义为输入FS和先行词之间的相似性。为了克服这些缺点,本文探讨的子集度的措施,以产生NSFLSs均设有不同的噪音水平更合适的射击水平(子NS)的潜力。在实验中,基本服务员倾翻模糊逻辑系统被用于检查与当前的方法相比,子NS的行为。结果显示分析,该子NS方法会导致在实际应用中更稳定的表现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号