Title: Urban public space environment design based on intelligent algorithm and fuzzy control

Authors: Ting Song; Yansong Li

Addresses: Shanghai Business School, College of Art Design, Shanghai 200235, China ' School of Business Administration, Shanghai Urban Construction Vocational College, Shanghai 201415, China; School of Journalism and Communication, Shanghai University, Shanghai 200070, China

Abstract: With the development of urban construction, its spatial evolution is also influenced by behavioural actors such as enterprises, residents, and environmental factors, leading to some decision-making behaviours that are not conducive to urban public space and environmental design. At the same time, some cities are vulnerable to various factors such as distance factors, transportation factors, and human psychological factors during the construction of public areas, resulting in a decline in the quality of urban human settlements. Urban public space is the guarantee of urban life. For this, in order to standardise urban public space and improve the quality of urban living environment, the standardisation of the environment of urban public space is required. The rapid development of intelligent algorithms and fuzzy control provides technical support for the environmental design of urban public spaces. Through the modelling of intelligent algorithms and the construction of fuzzy space, it can meet the diverse.

Keywords: urban public space; environmental design; intelligent algorithm; fuzzy control.

DOI: 10.1504/IJDMB.2024.139447

International Journal of Data Mining and Bioinformatics, 2024 Vol.28 No.3/4, pp.272 - 286

Received: 01 Mar 2023
Accepted: 08 Sep 2023
Published online: 02 Jul 2024 *

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