메뉴 건너뛰기




Volumn 16, Issue 1, 2010, Pages 58-65

Methodology for Bayesian belief network development to facilitate compliance with water quality regulations

Author keywords

Bayesian analysis; Decision support systems; Drinking water; Expert systems; Public safety; Remote sensing

Indexed keywords

BAYESIAN ANALYSIS; BAYESIAN BELIEF NETWORKS; DATA CORRUPTION; DRINKING WATER; DRINKING WATER DISTRIBUTION SYSTEM; DRINKING WATER QUALITY; EXPERT JUDGMENT; PUBLIC SAFETY; REAL TIME MONITORING; SYSTEM CHARACTERISTICS;

EID: 77950601355     PISSN: 10760342     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1076-0342(2010)16:1(58)     Document Type: Article
Times cited : (31)

References (20)
  • 1
    • 33646682100 scopus 로고    scopus 로고
    • Delay between sensing and response in water contamination events
    • JITSE4, 1076-0342, 10.1061/(ASCE)1076-0342(2006)12:2(87).
    • Bristow E. Brumbelow K. Delay between sensing and response in water contamination events. J. Infrastruct. Syst. 2006, 12(2):87-95. JITSE4, 1076-0342, 10.1061/(ASCE)1076-0342(2006)12:2(87).
    • (2006) J. Infrastruct. Syst. , vol.12 , Issue.2 , pp. 87-95
    • Bristow, E.1    Brumbelow, K.2
  • 2
    • 0032839653 scopus 로고    scopus 로고
    • Combining probability distributions from experts in risk analysis
    • RIANDF, 0272-4332, 10.1111/j.1539-6924.1999.tb00399.x.
    • Clemen R.T. Winkler R.L. Combining probability distributions from experts in risk analysis. Risk Anal. 1999, 19(2):187-203. RIANDF, 0272-4332, 10.1111/j.1539-6924.1999.tb00399.x.
    • (1999) Risk Anal. , vol.19 , Issue.2 , pp. 187-203
    • Clemen, R.T.1    Winkler, R.L.2
  • 3
    • 69949108171 scopus 로고    scopus 로고
    • Properties of sensitivity analysis of Bayesian belief networks
    • AMAIEC, 1012-2443.
    • Coupé V.M. H. Van Der Gaag L.C. Properties of sensitivity analysis of Bayesian belief networks. Ann. Math. Artif. Intell. 2002, 32(4):232-256. AMAIEC, 1012-2443.
    • (2002) Ann. Math. Artif. Intell. , vol.32 , Issue.4 , pp. 232-256
    • Coupé, V.M.H.1    Van Der Gaag, L.C.2
  • 4
    • 33745286505 scopus 로고    scopus 로고
    • Bayesian belief networks to integrate monitoring evidence of water distribution system contamination
    • 10.1061/(ASCE)0733-9496(2006)132:4(234), 0733-9496.
    • Dawsey W.J. Minsker B.S. Van Blaricum V.L. Bayesian belief networks to integrate monitoring evidence of water distribution system contamination. J. Water Resour. Plan. Manage. 2006, 132(4):234-241. 10.1061/(ASCE)0733-9496(2006)132:4(234), 0733-9496.
    • (2006) J. Water Resour. Plan. Manage. , vol.132 , Issue.4 , pp. 234-241
    • Dawsey, W.J.1    Minsker, B.S.2    Van Blaricum, V.L.3
  • 7
    • 69949108170 scopus 로고    scopus 로고
    • The effectiveness of Bayesian belief networks and real-time monitoring technology in facilitating the implementation of water quality regulations
    • MASc thesis, Univ. of Toronto, Toronto.
    • Joseph S. The effectiveness of Bayesian belief networks and real-time monitoring technology in facilitating the implementation of water quality regulations. 2007, MASc thesis, Univ. of Toronto, Toronto.
    • (2007)
    • Joseph, S.1
  • 8
    • 0026204029 scopus 로고
    • Eliciting probabilities from experts in complex technical problems
    • IEEMA4, 0018-9391, 10.1109/17.83752.
    • Keeney R.L. Von Winterfeld D. Eliciting probabilities from experts in complex technical problems. IEEE Trans. Eng. Manage. 1991, 38(3):191-201. IEEMA4, 0018-9391, 10.1109/17.83752.
    • (1991) IEEE Trans. Eng. Manage. , vol.38 , Issue.3 , pp. 191-201
    • Keeney, R.L.1    Von Winterfeld, D.2
  • 9
    • 0036609837 scopus 로고    scopus 로고
    • Assessing intrusion susceptibility in distribution systems
    • JAWWA5, 0003-150X.
    • Lindley T. Buchberger S. Assessing intrusion susceptibility in distribution systems. J. Am. Water Works Assoc. 2002, 94(6):66-79. JAWWA5, 0003-150X.
    • (2002) J. Am. Water Works Assoc. , vol.94 , Issue.6 , pp. 66-79
    • Lindley, T.1    Buchberger, S.2
  • 10
    • 28844454373 scopus 로고    scopus 로고
    • A relative-risk framework for evaluating transient pathogen intrusion in distribution systems
    • URWAFE, 1462-0758, 10.1080/15730620412331290010.
    • McInnis D. A relative-risk framework for evaluating transient pathogen intrusion in distribution systems. Urban Water 2004, 1(2):113-127. URWAFE, 1462-0758, 10.1080/15730620412331290010.
    • (2004) Urban Water , vol.1 , Issue.2 , pp. 113-127
    • McInnis, D.1
  • 12
    • 0032141735 scopus 로고    scopus 로고
    • Knowledge acquisition from multiple experts: An empirical study
    • MSCIAM, 0025-1909, 10.1287/mnsc.44.8.1049.
    • O'Leary D. Knowledge acquisition from multiple experts: An empirical study. Manage. Sci. 1998, 44:1049-1058. MSCIAM, 0025-1909, 10.1287/mnsc.44.8.1049.
    • (1998) Manage. Sci. , vol.44 , pp. 1049-1058
    • O'Leary, D.1
  • 14
    • 0037871273 scopus 로고    scopus 로고
    • Probability elicitation for belief networks: Issues to consider
    • KEREE3, 0269-8889, 10.1017/S0269888901000145.
    • Renooij S. Probability elicitation for belief networks: Issues to consider. Knowl. Eng. Rev. 2001, 16(3):255-269. KEREE3, 0269-8889, 10.1017/S0269888901000145.
    • (2001) Knowl. Eng. Rev. , vol.16 , Issue.3 , pp. 255-269
    • Renooij, S.1
  • 15
    • 47249119067 scopus 로고    scopus 로고
    • Chapter 6: Monitoring the quality of drinking water during storage and distribution
    • IN WHO, ed., IWA, Cornwall, U.K.
    • Robertson W. Stanfield G. Howard G. Bartram J. Chapter 6: Monitoring the quality of drinking water during storage and distribution. Assessing microbial safety of drinking water 2003, 179-204. IN WHO, ed., IWA, Cornwall, U.K.
    • (2003) Assessing microbial safety of drinking water , pp. 179-204
    • Robertson, W.1    Stanfield, G.2    Howard, G.3    Bartram, J.4
  • 16
    • 11344267615 scopus 로고    scopus 로고
    • Site specific updating and aggregation of Bayesian belief network models for multiple experts
    • RIANDF, 0272-4332, 10.1111/j.0272-4332.2004.00547.x.
    • Stiber N.A. Small M.J. Pantazidou M. Site specific updating and aggregation of Bayesian belief network models for multiple experts. Risk Anal. 2004, 24(6):1529-1538. RIANDF, 0272-4332, 10.1111/j.0272-4332.2004.00547.x.
    • (2004) Risk Anal. , vol.24 , Issue.6 , pp. 1529-1538
    • Stiber, N.A.1    Small, M.J.2    Pantazidou, M.3
  • 17
    • 77950607114 scopus 로고    scopus 로고
    • Escape from Kashechewan
    • Globe and Mail, Oct. 28, 2005.
    • Strauss J. Escape from Kashechewan. 2005, Globe and Mail, Oct. 28, 2005.
    • (2005)
    • Strauss, J.1
  • 18
    • 69949097086 scopus 로고    scopus 로고
    • Developing conditional probability tables from fractional data for Bayesian belief networks in engineering decision making
    • Ph.D. thesis, Univ. of Toronto, Toronto, (Sept. 11, 2006).
    • Tang Z. Developing conditional probability tables from fractional data for Bayesian belief networks in engineering decision making. 2005, Ph.D. thesis, Univ. of Toronto, Toronto, (Sept. 11, 2006)., http://proquest.umi.com/pqdlink?did=1001862061&Fmt=7&clientId=12520&RQT=309&VName=PQD
    • (2005)
    • Tang, Z.1
  • 19
    • 34250654558 scopus 로고    scopus 로고
    • Developing complete conditional probability tables from fractional data for Bayesian belief networks
    • JCCEE5, 0887-3801, 10.1061/(ASCE)0887-3801(2007)21:4(265).
    • Tang Z. McCabe B. Developing complete conditional probability tables from fractional data for Bayesian belief networks. J. Comput. Civ. Eng. 2007, 21(4):265-276. JCCEE5, 0887-3801, 10.1061/(ASCE)0887-3801(2007)21:4(265).
    • (2007) J. Comput. Civ. Eng. , vol.21 , Issue.4 , pp. 265-276
    • Tang, Z.1    McCabe, B.2
  • 20
    • 0016264378 scopus 로고
    • Judgements under uncertainty: Heuristics and biases
    • SCIEAS, 0036-8075, 10.1126/science.185.4157.1124.
    • Tversky A. Kahneman D. Judgements under uncertainty: Heuristics and biases. Science 1974, 185(4157):1124-1131. SCIEAS, 0036-8075, 10.1126/science.185.4157.1124.
    • (1974) Science , vol.185 , Issue.4157 , pp. 1124-1131
    • Tversky, A.1    Kahneman, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.