.png){kind=icon}
返回
Simulating continuous fuzzy systems for fuzzy solution surfaces
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-007-0200-0.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Our approach to simulation of a fuzzy ODE system is to evaluate the system with triangular fuzzy parameters, evaluating at the left/vertex/right supports and values in between. Solutions are presented as a graph(s) of the variable(s) of interest, with respect to time. With multiple fuzzy parameters, a solution graph is likely to become overloaded with superfluous information. Because of the cost of processing and plotting the superfluous information, critical support values may be skipped. We implement a reduction algorithm for determining solution boundaries, as trajectories are computed. Keeping aware of membership values, quantization considerations, and solution neighborhoods, we are able to collect a fraction of the data collected by brute force methods, and yet provide better coverage of fuzzy parameters. Three dimensional fuzzy solution trajectories are the second improvement we investigate. By including membership computation in our simulations, we produce fuzzy solution surface boundaries. These surfaces enclose the possible solution space. To make this process manageable, we combine this with boundary determination. In this paper we describe our method and present 3D solutions of two classical systems of ODE.
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
暂无机构信息
引用论文
.png){kind=icon}
Clinical research in Dermatology: resources and activities associated with a higher scientific productivity皮肤病学临床研究：与更高科学生产力相关的资源和活动
PREAI
分享收藏
没有更多内容
没有更多内容