Fuzzy Graph Cellular Automaton and Its Applications in Parking Recommendations

Autor:	R. Saranya, B. Praba
Rok vydání:	2022
Předmět:	Human-Computer Interaction Computational Mathematics Theoretical computer science Computational Theory and Mathematics Computer science Applied Mathematics Fuzzy graph Cellular automaton Computer Science Applications
Zdroj:	New Mathematics and Natural Computation. 18:147-162
ISSN:	1793-7027 1793-0057
Popis:	The scope of this paper is to make the best use of cellular automaton. It is important that they can simulate not just a discrete model but also used to solve practical problems. To stimulate the research in this field, we define Fuzzy Graph Cellular Automaton (FGCA) and classify the fuzzy rule matrix according to the rules of the cellular automaton. We also provide the details of the generations of FGCA. To cover the defined concept, the parking recommendations have been figured out to show the effective performance of the research. In this proposed model, the fuzzy neighbourhood function represents the possible cell to which the vehicle can moved so that an efficient parking management can be maintained. By using fuzzy graph cellular automaton in parking recommendations, the results are more accurate than the other models. A comparative analysis is also done. In parking recommendations, the possibility of the available parking space can be predicted appropriately using the defined concepts. The results are simulated with [Formula: see text] coding in MATlab.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::259ba34ba1eeb417c5441c3f79680153 https://doi.org/10.1142/s1793005722500089 Zobrazit plný text záznamu