A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment

Hua Bai; Lixin Gao

doi:10.1007/978-3-540-87442-3_112

A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment

Hua Bai^*
, Lixin Gao

^*Corresponding author for this work

School of Architecture and Design

School of Mechatronics Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The hierarchical synthetic evaluation algorithm for health condition assessment of buried water pipeline is studied. Usually, the deterioration of buried pipeline is influenced by many uncertainty factors, such as material, surrounding environment, etc. It is essential to properly represent and use multi-source information to conduct rational health condition evaluation analysis. By the use of a hierarchical framework, a vague sets based synthetic evaluation algorithm has been developed for supporting such evaluation analysis, the kernel of which organizes data, measures similarity and evaluates the result on the basis of the vague sets. Compared with the existing fuzzy comprehensive evaluation method, this method is more powerful and efficient to deal with conflicting information as well as partial ignorance.

Original language	English
Title of host publication	Advanced Intelligent Computing Theories and Applications
Subtitle of host publication	With Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings
Pages	912-920
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-540-87442-3_112
State	Published - 2008
Event	4th International Conference on Intelligent Computing, ICIC 2008 - Shanghai, China Duration: 15 Sep 2008 → 18 Sep 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5226 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Intelligent Computing, ICIC 2008
Country/Territory	China
City	Shanghai
Period	15/09/08 → 18/09/08

Keywords

Health condition
Hierarchical synthetic evaluation algorithm
Multi-source information fusion
Vague sets

Access to Document

10.1007/978-3-540-87442-3_112

Cite this

Bai, H., & Gao, L. (2008). A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment. In Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings (pp. 912-920). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5226 LNCS). https://doi.org/10.1007/978-3-540-87442-3_112

Bai, Hua ; Gao, Lixin. / A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment. Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. 2008. pp. 912-920 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d7e6dbc9308f441c9553d2a4425d1970,

title = "A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment",

abstract = "The hierarchical synthetic evaluation algorithm for health condition assessment of buried water pipeline is studied. Usually, the deterioration of buried pipeline is influenced by many uncertainty factors, such as material, surrounding environment, etc. It is essential to properly represent and use multi-source information to conduct rational health condition evaluation analysis. By the use of a hierarchical framework, a vague sets based synthetic evaluation algorithm has been developed for supporting such evaluation analysis, the kernel of which organizes data, measures similarity and evaluates the result on the basis of the vague sets. Compared with the existing fuzzy comprehensive evaluation method, this method is more powerful and efficient to deal with conflicting information as well as partial ignorance.",

keywords = "Health condition, Hierarchical synthetic evaluation algorithm, Multi-source information fusion, Vague sets",

author = "Hua Bai and Lixin Gao",

year = "2008",

doi = "10.1007/978-3-540-87442-3\_112",

language = "英语",

isbn = "3540874402",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "912--920",

booktitle = "Advanced Intelligent Computing Theories and Applications",

note = "4th International Conference on Intelligent Computing, ICIC 2008 ; Conference date: 15-09-2008 Through 18-09-2008",

}

Bai, H & Gao, L 2008, A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment. in Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5226 LNCS, pp. 912-920, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, 15/09/08. https://doi.org/10.1007/978-3-540-87442-3_112

A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment. / Bai, Hua; Gao, Lixin.
Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. 2008. p. 912-920 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5226 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment

AU - Bai, Hua

AU - Gao, Lixin

PY - 2008

Y1 - 2008

N2 - The hierarchical synthetic evaluation algorithm for health condition assessment of buried water pipeline is studied. Usually, the deterioration of buried pipeline is influenced by many uncertainty factors, such as material, surrounding environment, etc. It is essential to properly represent and use multi-source information to conduct rational health condition evaluation analysis. By the use of a hierarchical framework, a vague sets based synthetic evaluation algorithm has been developed for supporting such evaluation analysis, the kernel of which organizes data, measures similarity and evaluates the result on the basis of the vague sets. Compared with the existing fuzzy comprehensive evaluation method, this method is more powerful and efficient to deal with conflicting information as well as partial ignorance.

AB - The hierarchical synthetic evaluation algorithm for health condition assessment of buried water pipeline is studied. Usually, the deterioration of buried pipeline is influenced by many uncertainty factors, such as material, surrounding environment, etc. It is essential to properly represent and use multi-source information to conduct rational health condition evaluation analysis. By the use of a hierarchical framework, a vague sets based synthetic evaluation algorithm has been developed for supporting such evaluation analysis, the kernel of which organizes data, measures similarity and evaluates the result on the basis of the vague sets. Compared with the existing fuzzy comprehensive evaluation method, this method is more powerful and efficient to deal with conflicting information as well as partial ignorance.

KW - Health condition

KW - Hierarchical synthetic evaluation algorithm

KW - Multi-source information fusion

KW - Vague sets

UR - https://www.scopus.com/pages/publications/56549088790

U2 - 10.1007/978-3-540-87442-3_112

DO - 10.1007/978-3-540-87442-3_112

M3 - 会议稿件

AN - SCOPUS:56549088790

SN - 3540874402

SN - 9783540874409

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 912

EP - 920

BT - Advanced Intelligent Computing Theories and Applications

T2 - 4th International Conference on Intelligent Computing, ICIC 2008

Y2 - 15 September 2008 through 18 September 2008

ER -

Bai H, Gao L. A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment. In Advanced Intelligent Computing Theories and Applications: With Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. 2008. p. 912-920. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-87442-3_112

A vague sets based hierarchical synthetic evaluation algorithm for health condition assessment

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this