Ecological safety evaluation method for plateau characteristic agribusinesses based on knowledge granularity

The ecological safety of plateau-characteristic agribusinesses (PCABs) encompasses not only environmental protection during production but also enhancing output without harming the ecosystem. Objectively evaluating PCABs' ecological safety levels is crucial for making management decisions and promoting local sustainable development. However, existing evaluation methods fail to incorporate expert knowledge structures, leading to limitations in both scientific validity and practical applicability. To address this gap, we propose an ecological safety evaluation method based on knowledge granularity, tailored to PCABs. The evaluation process involves the following steps: first, numerous knowledge points across macro-, meso-, and micro-levels are organized, and a hierarchical knowledge structure is designed for experts to freely select. Second, using belief distribution functions, experts provide evaluation information at varying levels of knowledge granularity. Third, expert weights and reliability parameters are determined through entropy and similarity calculations. Subsequently, the generalized combination rule is applied to progressively integrate multilevel knowledge-granularity evaluation information, from bottom to top and from individual to group, producing high-quality group evaluations. Finally, the method is applied to a typical plateau specialty agribusiness; the results indicate that its ecological safety status is "good." On that basis, we make targeted management recommendations.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-18
DOI
https://doi.org/10.1038/s41598-025-13127-8
Primary Topic
Evaluation and Optimization Models
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ecological safety evaluation method for plateau characteristic agribusinesses based on knowledge granularity

Yangke Shang, Yuan‐Wei Du, Chunhao Li
Scientific Reports
Evaluation and Optimization Models
article

Ecological safety evaluation method for plateau characteristic agribusinesses based on knowledge granularity

Yangke Shang, Yuan‐Wei Du, Chunhao Li
article en

Abstract

The ecological safety of plateau-characteristic agribusinesses (PCABs) encompasses not only environmental protection during production but also enhancing output without harming the ecosystem. Objectively evaluating PCABs' ecological safety levels is crucial for making management decisions and promoting local sustainable development. However, existing evaluation methods fail to incorporate expert knowledge structures, leading to limitations in both scientific validity and practical applicability. To address this gap, we propose an ecological safety evaluation method based on knowledge granularity, tailored to PCABs. The evaluation process involves the following steps: first, numerous knowledge points across macro-, meso-, and micro-levels are organized, and a hierarchical knowledge structure is designed for experts to freely select. Second, using belief distribution functions, experts provide evaluation information at varying levels of knowledge granularity. Third, expert weights and reliability parameters are determined through entropy and similarity calculations. Subsequently, the generalized combination rule is applied to progressively integrate multilevel knowledge-granularity evaluation information, from bottom to top and from individual to group, producing high-quality group evaluations. Finally, the method is applied to a typical plateau specialty agribusiness; the results indicate that its ecological safety status is "good." On that basis, we make targeted management recommendations.

Scientific ReportsVol. 15(1)
Yunnan University (CN), Jilin University (CN), Changchun University (CN)
National Natural Science Foundation of China, Yunnan University
Zero hunger
Openalex Percentile: Top 75%
Evaluation and Optimization Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.