作者: Yasser F. Hassan
DOI: 10.1049/IET-ITS.2017.0195
关键词: Granular computing 、 Cellular automaton 、 Soft computing 、 Group (mathematics) 、 Hybrid system 、 Theoretical computer science 、 Computer science
摘要: This study discusses the use of granular computing for representing multi-thinking cellular automata model. In addition, learning in model is examined from viewpoint computing. A system simulating changes needed cases based on assessments individual and group decision soft as a new formulation presented here. The architecture proposed results simulation novel approach are given. Results implementation enrich hybrid shed light concept it.