Journal of Resources and Ecology

Digital Intelligence Empowerment for Optimizing Rural Human Settlement Environments: An Ecological Strategy Based on Bionic Design and Fuzzy Semantic Computing

CHEN Liwei, LIN Xiaohong

Journal of Resources and Ecology, 2025, 16(5): 1528-1539. DOI: 10.5814/j.issn.1674-764x.2025.05.023

Model		Sum of squares	df	Mean square	F	P
Morphological difference	Regression	10.336	3	3.445	2.544	0.002
	Residual	717.954	556	1.291
	Total	728.2893	559
Material integration	Regression	23.969	3	7.990	5.617	0.007
	Residual	704.321	556	1.267
	Total	728.289	559
Functional interaction	Regression	35.942	4	8.986	7.286	0.003
	Residual	692.347	555	1.248
	Total	728.289	559

Table 9 ANOVA results for the effects of bionic design features on the emotional resonance and ecological identity of residents

Other figure/table from this article

Figure 1 Diagram of the triangular fuzzy number membership degree
Figure 2 Diagram of the membership degree and fuzzy semantic relationships
Figure 3 Fuzzy semantic relationship model of the impact of bionic design features on the emotional resonance and ecological identity of residents
Table 1 Questionnaire design for bionic design features
Table 2 Questionnaire design for the emotional resonance and ecological identity of residents
Table 3 Demographic descriptive statistics
Table 4 Reliability analysis of bionic design features and the resident perceptions questionnaire
Table 5 Descriptive statistics of bionic design features (N=560)
Table 6 Descriptive statistics of the emotional resonance and ecological identity of residents (N=560)
Figure 4 Membership degree and fuzzy semantic relationships of Q3-8
Figure 5 Membership degree and fuzzy semantic relationships of Q3-10
Table 7 The Chi-square test results for the association between design features and the emotional resonance and ecological identification of residents
Table 8 Regression model fit statistics (N=560)