2022
DOI: 10.1155/2022/9382277
|View full text |Cite
|
Sign up to set email alerts
|

Application of the Cloud Model Synthesis Method in Ecological Evaluation of Waterways

Abstract: The cloud model synthesis method based on the membership cloud theory combines the fuzziness and randomness of uncertain problems in reality and is a model that can realize the transformation between qualitative concepts and quantitative data compared with the traditional fuzzy theory system. The theory and method are relatively lacking in the research work of waterway ecological evaluation. In view of the abovementioned characteristics and the advantages of wide applications of the membership cloud model, thi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 12 publications
(15 reference statements)
0
1
0
Order By: Relevance
“…According to references, the stability of goafs in metal underground mines is divided into four grades: I, II, III, and IV. Level II indicates poor stability of goafs; Level III indicates that goafs are more stable; and Level IV indicates 2 Advances in Civil Engineering greater goaf stability [19][20][21][22]. Tables 1 and 2 show the corresponding standards of indicators for the different goaf stability levels.…”
Section: Construction Of Evaluation Indexmentioning
confidence: 99%
“…According to references, the stability of goafs in metal underground mines is divided into four grades: I, II, III, and IV. Level II indicates poor stability of goafs; Level III indicates that goafs are more stable; and Level IV indicates 2 Advances in Civil Engineering greater goaf stability [19][20][21][22]. Tables 1 and 2 show the corresponding standards of indicators for the different goaf stability levels.…”
Section: Construction Of Evaluation Indexmentioning
confidence: 99%