Multi-level thinking cellular automata using granular computing title

被引：1

作者：

Hassan, Yasser F. ^{[1
]}

机构：

[1] Alexandria Univ, Dept Math & Comp Sci, Fac Sci, Alexandria, Egypt

来源：

IET INTELLIGENT TRANSPORT SYSTEMS | 2018年 / 12卷 / 06期

关键词：

granular computing; cellular automata; multi level thinking cellular automata; granular cellular automata system; soft computing; TRAFFIC FLOW; MODEL; BEHAVIOR;

D O I：

10.1049/iet-its.2017.0195

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study discusses the use of granular computing for representing multi-thinking cellular automata model. In addition, the learning in cellular automata model is examined from the viewpoint of granular computing. A granular cellular automata system for simulating the changes needed in cases based on assessments of individual and group decision from the viewpoint of soft computing as a new formulation of granular computing and cellular automata is presented here. The architecture of the proposed model and the results of simulation of novel approach are given. Results from the implementation enrich granular computing cellular automata hybrid system and shed a new light on the concept formulation of the model and the learning in it.

引用

页码：440 / 448

页数：9

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