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Volumn 48, Issue 1, 2009, Pages 257-266

Efficiency of influence diagram models with continuous decision variables

Author keywords

Accuracy; Complexity; Continuous variable; Decision analysis; Decision variable; Efficiency; Graphical model; Influence diagram; Mixtures of truncated exponentials; Probability

Indexed keywords

ACCURACY; COMPLEXITY; CONTINUOUS VARIABLE; DECISION ANALYSIS; DECISION VARIABLE; GRAPHICAL MODEL; INFLUENCE DIAGRAM; MIXTURES OF TRUNCATED EXPONENTIALS;

EID: 70350566069     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2009.08.004     Document Type: Article
Times cited : (5)

References (31)
  • 1
    • 0023382999 scopus 로고
    • Consistent weights for judgment matrices of the relative importance of alternatives
    • Barzilai J., Cook W.D., and Golani B. Consistent weights for judgment matrices of the relative importance of alternatives. Operations Research Letters 6 (1987) 131-141
    • (1987) Operations Research Letters , vol.6 , pp. 131-141
    • Barzilai, J.1    Cook, W.D.2    Golani, B.3
  • 3
    • 36249026459 scopus 로고    scopus 로고
    • Explaining clinical decisions by extracting regularity patterns
    • Bielza C., and Fernández del Pozo J.A. Explaining clinical decisions by extracting regularity patterns. Decision Support Systems 44 2 (2008) 397-408
    • (2008) Decision Support Systems , vol.44 , Issue.2 , pp. 397-408
    • Bielza, C.1    Fernández del Pozo, J.A.2
  • 4
    • 84901938139 scopus 로고    scopus 로고
    • Modeling challenges with influence diagrams: representation issues
    • University of Kansas, School of Business, Lawrence, KS
    • Bielza C., Gómez M., and Shenoy P.P. Modeling challenges with influence diagrams: representation issues. Working Paper (2009), University of Kansas, School of Business, Lawrence, KS
    • (2009) Working Paper
    • Bielza, C.1    Gómez, M.2    Shenoy, P.P.3
  • 5
    • 34547670586 scopus 로고    scopus 로고
    • Using AI and games for decision support in command and control
    • Brynielsson J. Using AI and games for decision support in command and control. Decision Support Systems 43 4 (2007) 1454-1463
    • (2007) Decision Support Systems , vol.43 , Issue.4 , pp. 1454-1463
    • Brynielsson, J.1
  • 7
    • 70350564931 scopus 로고    scopus 로고
    • Influence diagrams with continuous decision variables and non-Gaussian uncertainties
    • Cobb B.R. Influence diagrams with continuous decision variables and non-Gaussian uncertainties. Decision Analysis 4 3 (2007) 136-155
    • (2007) Decision Analysis , vol.4 , Issue.3 , pp. 136-155
    • Cobb, B.R.1
  • 8
    • 33644863766 scopus 로고    scopus 로고
    • Inference in hybrid Bayesian networks using mixtures of truncated exponentials
    • Cobb B.R., and Shenoy P.P. Inference in hybrid Bayesian networks using mixtures of truncated exponentials. International Journal of Approximate Reasoning 41 3 (2006) 257-286
    • (2006) International Journal of Approximate Reasoning , vol.41 , Issue.3 , pp. 257-286
    • Cobb, B.R.1    Shenoy, P.P.2
  • 9
    • 35349010084 scopus 로고    scopus 로고
    • Decision making with hybrid influence diagrams using mixtures of truncated exponentials
    • Cobb B.R., and Shenoy P.P. Decision making with hybrid influence diagrams using mixtures of truncated exponentials. European Journal of Operational Research 186 1 (2008) 261-275
    • (2008) European Journal of Operational Research , vol.186 , Issue.1 , pp. 261-275
    • Cobb, B.R.1    Shenoy, P.P.2
  • 10
    • 33745634852 scopus 로고    scopus 로고
    • Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials
    • Cobb B.R., Shenoy P.P., and Rumí R. Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials. Statistics and Computing 16 3 (2006) 293-308
    • (2006) Statistics and Computing , vol.16 , Issue.3 , pp. 293-308
    • Cobb, B.R.1    Shenoy, P.P.2    Rumí, R.3
  • 11
    • 62949099411 scopus 로고    scopus 로고
    • McAllester D.A., and Myllymäki P. (Eds), AUAI Press, Corvallis, OR
    • de Campos C.P., and Ji Q. In: McAllester D.A., and Myllymäki P. (Eds). Strategy Selection in Influence Diagrams using Imprecise Probabilities. Uncertainty in Artificial Intelligence vol. 24 (2008), AUAI Press, Corvallis, OR 121-128
    • (2008) Uncertainty in Artificial Intelligence , vol.24 , pp. 121-128
    • de Campos, C.P.1    Ji, Q.2
  • 13
    • 0029369863 scopus 로고
    • Intelligent inference systems based on influence diagrams
    • Gottinger H.W., and Weimann H.P. Intelligent inference systems based on influence diagrams. Decision Support Systems 15 1 (1995) 27-43
    • (1995) Decision Support Systems , vol.15 , Issue.1 , pp. 27-43
    • Gottinger, H.W.1    Weimann, H.P.2
  • 14
    • 25944456532 scopus 로고    scopus 로고
    • Capacity planning and pricing under uncertainty
    • Göx R.F. Capacity planning and pricing under uncertainty. Journal of Management Accounting Research 14 1 (2002) 59-78
    • (2002) Journal of Management Accounting Research , vol.14 , Issue.1 , pp. 59-78
    • Göx, R.F.1
  • 15
    • 0000086731 scopus 로고
    • Howard R.A., and Matheson J.E. (Eds), Strategic Decisions Group, Menlo Park, CA [Reprinted in Decision Analysis 2(3) (2005) 127-143]
    • Howard R.A., and Matheson J.F. In: Howard R.A., and Matheson J.E. (Eds). Influence Diagrams. Readings on the Principles and Applications of Decision Analysis vol. 2 (1984), Strategic Decisions Group, Menlo Park, CA 719-762 [Reprinted in Decision Analysis 2(3) (2005) 127-143]
    • (1984) Readings on the Principles and Applications of Decision Analysis , vol.2 , pp. 719-762
    • Howard, R.A.1    Matheson, J.F.2
  • 17
    • 0035466786 scopus 로고    scopus 로고
    • Representing and solving decision problems with limited information
    • Lauritzen S.L., and Nilsson D. Representing and solving decision problems with limited information. Management Science 47 9 (2001) 1238-1251
    • (2001) Management Science , vol.47 , Issue.9 , pp. 1238-1251
    • Lauritzen, S.L.1    Nilsson, D.2
  • 21
    • 10844270316 scopus 로고    scopus 로고
    • Solving linear-quadratic conditional Gaussian influence diagrams
    • Madsen A.L., and Jensen F. Solving linear-quadratic conditional Gaussian influence diagrams. International Journal of Approximate Reasoning 38 3 (2005) 263-282
    • (2005) International Journal of Approximate Reasoning , vol.38 , Issue.3 , pp. 263-282
    • Madsen, A.L.1    Jensen, F.2
  • 25
    • 21244504129 scopus 로고
    • Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties
    • Heckerman D., and Mamdani E.H. (Eds), Morgan Kaufmann, San Francisco, CA
    • Poland W.B., and Shachter R.D. Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties. In: Heckerman D., and Mamdani E.H. (Eds). Uncertainty in Artificial Intelligence vol. 9 (1993), Morgan Kaufmann, San Francisco, CA 183-190
    • (1993) Uncertainty in Artificial Intelligence , vol.9 , pp. 183-190
    • Poland, W.B.1    Shachter, R.D.2
  • 26
    • 0022818911 scopus 로고
    • Evaluating influence diagrams
    • Shachter R.D. Evaluating influence diagrams. Operations Research 34 6 (1986) 871-882
    • (1986) Operations Research , vol.34 , Issue.6 , pp. 871-882
    • Shachter, R.D.1
  • 27
  • 28
    • 0011915858 scopus 로고
    • A new method for representing and solving Bayesian decision problems
    • Hand D.J. (Ed), Chapman and Hall, London
    • Shenoy P.P. A new method for representing and solving Bayesian decision problems. In: Hand D.J. (Ed). Artificial Intelligence Frontiers in Statistics: AI and Statistics III (1993), Chapman and Hall, London 119-138
    • (1993) Artificial Intelligence Frontiers in Statistics: AI and Statistics III , pp. 119-138
    • Shenoy, P.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.