Evidential reasoning approach for bridge condition assessment

被引:76
作者
Wang, Ying-Ming [1 ]
Elhag, Taha M. S.
机构
[1] Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R China
[2] Univ Manchester, Manchester Business Sch, Manchester M15 6PB, Lancs, England
[3] Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M60 1QD, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
bridge condition rating; evidential reasoning approach; belief degree; uncertainty;
D O I
10.1016/j.eswa.2006.10.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Bridge condition assessment is usually conducted by bridge inspectors on the basis of visual inspections. This inevitably involves human being's subjective judgments and uncertainties. In order to model uncertainties associated with subjective assessments, this paper presents an evidential reasoning (ER) approach for bridge condition assessment. The ER approach has the following advantages over other approaches for bridge condition rating: (1) the relative importance of different bridge components and elements is incorporated into the model; (2) bridge condition ratings are treated as assessment grades rather than precise numerical values, which is more logical; (3) bridge element can be assessed to two adjacent assessment grades at the same time if it cannot be precisely assessed to only one assessment grade, each with a belief degree (probability, confidence) to show to what extent the element is assessed to the two different grades, respectively; (4) the overall assessment of a bridge is a distributed assessment, which provides a panoramic view about the bridge condition. A case study is provided to illustrate the implementation process of the ER approach for bridge condition assessment. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:689 / 699
页数:11
相关论文
共 30 条
[21]  
Saaty T.L., 1998, The analytic hierarchy process
[22]   MARKOVIAN MODELS FOR BRIDGE MAINTENANCE MANAGEMENT [J].
SCHERER, WT ;
GLAGOLA, DM .
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1994, 120 (01) :37-51
[23]  
Shafer G., 1976, A mathematical theory of evidence, V76
[24]   Bridge maintenance level assessment [J].
Testa, RB ;
Yanev, BS .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2002, 17 (05) :358-367
[25]  
Xu DL, 2003, J MULTICRITERIA DECI, V12, P43, DOI DOI 10.1002/MEDIA.343
[26]   The management of bridges in New York City [J].
Yanev, B .
ENGINEERING STRUCTURES, 1998, 20 (11) :1020-1026
[27]   Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty [J].
Yang, JB ;
Xu, DL .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2002, 32 (03) :376-393
[28]   AN EVIDENTIAL REASONING APPROACH FOR MULTIPLE-ATTRIBUTE DECISION-MAKING WITH UNCERTAINTY [J].
YANG, JB ;
SINGH, MG .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1994, 24 (01) :1-18
[29]   Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties [J].
Yang, JB .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 131 (01) :31-61
[30]   On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty [J].
Yang, JB ;
Xu, DL .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2002, 32 (03) :289-304