Comprehensive Assessment of Ecological Environment Based on Market Fuzzy Optimization Model

The proliferation of developmental projects exerts a profound impact on biodiversity and environmental degradation. In pursuit of assessing ecosystem services, this study introduces an innovative combination optimization methodology that melds direct market assessment with mathematical fuzzy analysis. This approach is designed to elucidate the authentic economic repercussions of land utilization endeavors, facilitating a nuanced exploration of the cost-benefit dynamics across projects of varying magnitudes. This research posits that when ecosystem services are factored into the equation, environmental costs augment the conventional cost structures.Employing a combination optimization model, the research delineates the distinct characteristics of assorted environmental costs. The model integrates direct market valuation, conceptualizing environmental remediation expenses as financial detriments ensuing from environmental contamination. Concurrently, it employs mathematical fuzzy algorithms for the appraisal of potential environmental costs. Subsequently, a synthesis of comprehensive evaluation scores across different project phases is conducted.This investigation selected a residential community and a thermal power station to represent small-scale community initiatives and large-scale national projects, respectively. Cost-benefit analyses were executed based on the ratios derived from the combination optimization model. The MATLAB software was utilized to assess the ecological milieu at various temporal junctures. Findings indicate that the cost-benefit ratio for the small-scale community project stood at 1.051, whereas the large-scale national project yielded a ratio of 24.979. In sum, the combination optimization model demonstrated its efficacy in accurately quantifying the cost-benefits associated with the ecological environment, thereby furnishing comprehensive evaluative outcomes.