Fuzzy-Driven Optimization and Smart Evaluation of Ecological Environment Art Design

Shan Wang and Qiujing Wang
Additional contact information
Shan Wang: Jiaozuo University, China
Qiujing Wang: Jiaozuo University, China

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2025, vol. 16, issue 1, 1-22

Abstract: In the context of increasingly severe ecological and environmental problems, ecological and environmental art design must take into account both aesthetics and sustainable development. This paper constructs an ecological and environmental art design optimization and intelligent evaluation framework based on fuzzy algorithms, adopts a multi-objective optimization method based on fuzzy logic, and works together through fuzzy optimization, intelligent evaluation, and feedback correction modules. The experimental results show that in urban park design, the aesthetics of the fuzzy optimization model is improved from 0.45 to 0.85, the convergence speed is 280 iterations, and the running time is 12.5 seconds. It is superior to traditional algorithms in terms of multi-objective optimization accuracy. The study proves that the model can effectively deal with the uncertainty in the design, achieve multi-objective balanced optimization, and provide a new scientific method for ecological and environmental art design.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 0.4018/IJAEIS.388733 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:16:y:2025:i:1:p:1-22

Access Statistics for this article

International Journal of Agricultural and Environmental Information Systems (IJAEIS) is currently edited by Frederic Andres

More articles in International Journal of Agricultural and Environmental Information Systems (IJAEIS) from IGI Global Scientific Publishing
Bibliographic data for series maintained by Journal Editor ().