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Volumn , Issue , 2001, Pages

Mathematical representation of uncertainty

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMICS; ESTIMATION; RISK ASSESSMENT; RISK PERCEPTION;

EID: 85014687366     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2001-1645     Document Type: Conference Paper
Times cited : (179)

References (108)
  • 1
    • 0003673417 scopus 로고
    • Reactor Safety Study: An Assessment of Accident Risks in U.S. Commercial Nuclear Power Plants
    • Washington, DC: US Nuclear Regulatory Commission
    • Rasmussen, N.C. and et al. 1975. Reactor Safety Study: An Assessment of Accident Risks in U.S. Commercial Nuclear Power Plants, NUREG-75/014, WASH-1400. Washington, DC: US Nuclear Regulatory Commission.
    • (1975) NUREG-75/014, WASH-1400
    • Rasmussen, N.C.1
  • 4
    • 0033212848 scopus 로고    scopus 로고
    • Historical Relationship Between Performance Assessment for Radioactive Waste Disposal and Other Types of Risk Assessment
    • Rechard, R.P. 1999. Historical Relationship Between Performance Assessment for Radioactive Waste Disposal and Other Types of Risk Assessment, Risk Analysis. Vol. 19, no. 5, pp. 763-807.
    • (1999) Risk Analysis , vol.19 , Issue.5 , pp. 763-807
    • Rechard, R.P.1
  • 5
    • 0003539707 scopus 로고
    • NRC, NUREG-1150. Washington, DC: U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Division of Systems Research
    • NRC. 1990. Severe Accident Risks: An Assessment for Five U.S. Nuclear Power Plants, NUREG-1150. Washington, DC: U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Division of Systems Research.
    • (1990) Severe Accident Risks: An Assessment For Five U.S. Nuclear Power Plants
  • 7
    • 0038668436 scopus 로고
    • Analysis of the LaSalle Unit 2 Nuclear Power Plant: Risk Methods Integration and Evaluation Program (RMIEP). Summary
    • Albuquerque, NM: Sandia National Laboratories
    • Payne, A.C., Jr. 1992. Analysis of the LaSalle Unit 2 Nuclear Power Plant: Risk Methods Integration and Evaluation Program (RMIEP). Summary, NUREG/CR-4832, SAND92-0537. Albuquerque, NM: Sandia National Laboratories.
    • (1992) NUREG/CR-4832, SAND92-0537
    • Payne Jr., A.C.1
  • 10
    • 0028556028 scopus 로고
    • Important Issues Using PS A Technology for Design of New Systems and Plants
    • Kafka, P. 1994. Important Issues Using PS A Technology for Design of New Systems and Plants, Reliability Engineering and System Safety. Vol. 45, no. 1-2, pp. 205-213.
    • (1994) Reliability Engineering and System Safety , vol.45 , Issue.1-2 , pp. 205-213
    • Kafka, P.1
  • 12
    • 0027810117 scopus 로고
    • Uncertainty and Sensitivity Analysis Techniques for Use in Performance Assessment for Radioactive Waste Disposal
    • Helton, J.C. 1993. Uncertainty and Sensitivity Analysis Techniques for Use in Performance Assessment for Radioactive Waste Disposal, Reliability Engineering and System Safety. Vol. 42, pp. 327-367.
    • (1993) Reliability Engineering and System Safety , vol.42 , pp. 327-367
    • Helton, J.C.1
  • 14
    • 0343473731 scopus 로고    scopus 로고
    • Conditional Uncertainty Analysis and Implications for Decision Making: The Case of WIPP
    • Pate-Cornell, M.E. 1999. Conditional Uncertainty Analysis and Implications for Decision Making: The Case of WIPP, Risk Analysis. Vol. 19, no. 5, pp. 1003-1016.
    • (1999) Risk Analysis , vol.19 , Issue.5 , pp. 1003-1016
    • Pate-Cornell, M.E.1
  • 15
    • 0001079329 scopus 로고    scopus 로고
    • Uncertainty and Sensitivity Analysis in Performance Assessment for the Waste Isolation Pilot Plant
    • Helton, J.C. 1999. Uncertainty and Sensitivity Analysis in Performance Assessment for the Waste Isolation Pilot Plant, Computer Physics Communications. Vol. 117, pp. 156-180.
    • (1999) Computer Physics Communications , vol.117 , pp. 156-180
    • Helton, J.C.1
  • 17
    • 0028131950 scopus 로고
    • Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability
    • Hoffman, P.O. and J.S. Hammonds. 1994. Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability, Risk Analysis.Vol. 14, no. 5, pp. 707-712.
    • (1994) Risk Analysis , vol.14 , Issue.5 , pp. 707-712
    • Hoffman, P.O.1    Hammonds, J.S.2
  • 18
    • 0028148543 scopus 로고
    • Understanding Uncertainty
    • Rowe, W.D. 1994. Understanding Uncertainty, Risk Analysis. Vol. 14, no. 5, pp. 743-750.
    • (1994) Risk Analysis , vol.14 , Issue.5 , pp. 743-750
    • Rowe, W.D.1
  • 19
    • 0028131261 scopus 로고
    • Treatment of Uncertainty in Performance Assessments for Complex Systems
    • Helton, J.C. 1994. Treatment of Uncertainty in Performance Assessments for Complex Systems, Risk Analysis. Vol. 14, no. 4, pp. 483-511.
    • (1994) Risk Analysis , vol.14 , Issue.4 , pp. 483-511
    • Helton, J.C.1
  • 21
    • 0030284123 scopus 로고    scopus 로고
    • Aleatory and Epistemic Uncertainty in Probability Elicitation with an Example from Hazardous Waste Management
    • Hora, S.C. 1996. Aleatory and Epistemic Uncertainty in Probability Elicitation with an Example from Hazardous Waste Management, Reliability Engineering and System Safety. Vol.54, pp. 217-223.
    • (1996) Reliability Engineering and System Safety , vol.54 , pp. 217-223
    • Hora, S.C.1
  • 22
    • 21444446390 scopus 로고    scopus 로고
    • Characterizing, Simulating, and Analyzing Variability and Uncertainty: An Illustration of Methods Using an Air Toxics Emissions Example
    • Frey, H.C. and D.S. Rhodes. 1996. Characterizing, Simulating, and Analyzing Variability and Uncertainty: An Illustration of Methods Using an Air Toxics Emissions Example, Human and Ecological Risk Assessment. Vol. 2, no. 4, pp.762-797.
    • (1996) Human and Ecological Risk Assessment , vol.2 , Issue.4 , pp. 762-797
    • Frey, H.C.1    Rhodes, D.S.2
  • 23
    • 0030289763 scopus 로고    scopus 로고
    • Different Methods Are Needed To Propagate Ignorance and Variability
    • Person, S. and L.R. Ginzburg. 1996. Different Methods Are Needed To Propagate Ignorance and Variability, Reliability Engineering and System Safety. Vol. 54, pp. 133-144.
    • (1996) Reliability Engineering and System Safety , vol.54 , pp. 133-144
    • Person, S.1    Ginzburg, L.R.2
  • 24
    • 21444434190 scopus 로고    scopus 로고
    • What Monte Carlo Methods Cannot Do
    • Person, S. 1996. What Monte Carlo Methods Cannot Do, Human and Ecological Risk Assessment. Vol. 2, no. 4, pp. 990-1007.
    • (1996) Human and Ecological Risk Assessment , vol.2 , Issue.4 , pp. 990-1007
    • Person, S.1
  • 25
    • 21444437807 scopus 로고    scopus 로고
    • A General Framework for the Analysis of Uncertainty and Variability in Risk Assessment
    • Rai, S.N., D. Krewski, and S. Bartlett. 1996. A General Framework for the Analysis of Uncertainty and Variability in Risk Assessment, Human and Ecological Risk Assessment. Vol. 2, no. 4, pp. 972-989.
    • (1996) Human and Ecological Risk Assessment , vol.2 , Issue.4 , pp. 972-989
    • Rai, S.N.1    Krewski, D.2    Bartlett, S.3
  • 26
    • 0030290227 scopus 로고    scopus 로고
    • The Characterization of Uncertainty in Probabilistic Risk Assessments of Complex Systems
    • Parry, G.W. 1996. The Characterization of Uncertainty in Probabilistic Risk Assessments of Complex Systems, Reliability Engineering and System Safety. Vol. 54, pp. 119-126.
    • (1996) Reliability Engineering and System Safety , vol.54 , pp. 119-126
    • Parry, G.W.1
  • 27
    • 0031376522 scopus 로고    scopus 로고
    • Uncertainty and Sensitivity Analysis in the Presence of Stochastic and Subjective Uncertainty
    • Helton, J.C. 1997. Uncertainty and Sensitivity Analysis in the Presence of Stochastic and Subjective Uncertainty, Journal of Statistical Computation and Simulation. Vol. 57, pp. 3-76.
    • (1997) Journal of Statistical Computation and Simulation , vol.57 , pp. 3-76
    • Helton, J.C.1
  • 28
    • 0030286892 scopus 로고    scopus 로고
    • Uncertainties in Risk Analysis: Six Levels of Treatment
    • Pate-Cornell, M.E. 1996. Uncertainties in Risk Analysis: Six Levels of Treatment, Reliability Engineering and System Safety. Vol. 54, pp. 95-111.
    • (1996) Reliability Engineering and System Safety , vol.54 , pp. 95-111
    • Pate-Cornell, M.E.1
  • 31
    • 0033313502 scopus 로고    scopus 로고
    • Treatment of Uncertainties in Space Nuclear Risk Assessment with Examples from Cassini Mission Applications
    • Frank, M.V. 1999. Treatment of Uncertainties in Space Nuclear Risk Assessment with Examples from Cassini Mission Applications, Reliability Engineering and System Safety. Vol. 66,pp. 203-221.
    • (1999) Reliability Engineering and System Safety , vol.66 , pp. 203-221
    • Frank, M.V.1
  • 32
    • 0003471985 scopus 로고    scopus 로고
    • Estimation of Total Uncertainty in Computational Simulation
    • Albuquerque, NM: Sandia National Laboratories
    • Oberkampf, W.L., S.M. DeLand, B.M. Rutherford, K.V. Diegert, and K.F. Alvin. 2000. Estimation of Total Uncertainty in Computational Simulation. SAND2000-0824. Albuquerque, NM: Sandia National Laboratories.
    • (2000) SAND2000-0824
    • Oberkampf, W.L.1    Deland, S.M.2    Rutherford, B.M.3    Diegert, K.V.4    Alvin, K.F.5
  • 38
    • 84894466275 scopus 로고
    • A Personal View of the Bayesian Controversy in Reliability and Statistics
    • Easterling, R.G. 1972. A Personal View of the Bayesian Controversy in Reliability and Statistics, IEEE Transactions on Reliability. Vol. R-21, no. 3, pp. 186-194.
    • (1972) IEEE Transactions On Reliability , vol.R-21 , Issue.3 , pp. 186-194
    • Easterling, R.G.1
  • 39
    • 0002917149 scopus 로고
    • in Robustness in Bayesian Statistics, J. Kadane, ed, North-Holland: Amsterdam
    • Berger, J.O. 1984. The Robust Bayesian Viewpoint, in Robustness in Bayesian Statistics, J. Kadane, ed. North-Holland: Amsterdam.
    • (1984) The Robust Bayesian Viewpoint
    • Berger, J.O.1
  • 40
    • 38249019651 scopus 로고
    • Robust Bayesian Analysis: Sensitivity to the Prior
    • Berger, J.O. 1990. Robust Bayesian Analysis: Sensitivity to the Prior, Journal of Statistical Planning and Inference. Vol. 25, no. 3, pp. 303-328.
    • (1990) Journal of Statistical Planning and Inference , vol.25 , Issue.3 , pp. 303-328
    • Berger, J.O.1
  • 42
    • 84894503648 scopus 로고    scopus 로고
    • Quality Assurance for Probabilistic Safety Assessments
    • LaGrangePark, Illinois: American Nuclear Society
    • Person, S. 1999. Quality Assurance for Probabilistic Safety Assessments, Proceedings of Probabilistic Safety Assessment 1999. LaGrangePark, Illinois: American Nuclear Society, pp.1284-1288.
    • (1999) Proceedings of Probabilistic Safety Assessment 1999 , pp. 1284-1288
    • Person, S.1
  • 43
    • 34248666540 scopus 로고
    • Fuzzy Sets
    • Zadeh, L.A. 1965. Fuzzy Sets, Information and Control. Vol. 8, no. 3, pp. 338-353.
    • (1965) Information and Control , vol.8 , Issue.3 , pp. 338-353
    • Zadeh, L.A.1
  • 51
    • 0035640594 scopus 로고    scopus 로고
    • On Measuring Uncertainty and Uncertainty-Based Information: Recent Developments
    • (accepted for publication)
    • Klir, GJ. and R.M. Smith. 2001. On Measuring Uncertainty and Uncertainty-Based Information: Recent Developments, Annals of Mathematics, (accepted for publication)
    • (2001) Annals of Mathematics
    • Klir, G.J.1    Smith, R.M.2
  • 56
    • 84894441122 scopus 로고    scopus 로고
    • Solar Array Problems Mobilize NASA/Contractor ISS Team
    • Covault, C. 2000. Solar Array Problems Mobilize NASA/Contractor ISS Team, Aviation Week & Space Technology, pp. 44-46.
    • (2000) Aviation Week & Space Technology , pp. 44-46
    • Covault, C.1
  • 57
    • 35648934882 scopus 로고    scopus 로고
    • Guide for the Verification and Validation of Computational Fluid Dynamics Simulations
    • AIAA, Reston, VA: American Institute of Aeronautics and Astronautics
    • AIAA. 1998. Guide for the Verification and Validation of Computational Fluid Dynamics Simulations, AIAA-G-077-1998. Reston, VA: American Institute of Aeronautics and Astronautics.
    • (1998) AIAA-G-077-1998
  • 58
    • 0003447196 scopus 로고    scopus 로고
    • Statistical Validation of Engineering and Scientific Models: Background
    • Albuquerque,NM: Sandia National Laboratories
    • Hills, R.G. and T.G. Trucano. 1999. Statistical Validation of Engineering and Scientific Models: Background. SAND99-1256. Albuquerque,NM: Sandia National Laboratories.
    • (1999) SAND99-1256
    • Hills, R.G.1    Trucano, T.G.2
  • 59
    • 85065572743 scopus 로고    scopus 로고
    • Validation Methodology in Computational Fluid Dynamics
    • Denver, CO: American Institute of Aeronautics and Astronautics
    • Oberkampf, W.L. and T.G. Trucano. 2000. Validation Methodology in Computational Fluid Dynamics, Fluids 2000 Conference. Denver, CO: American Institute of Aeronautics and Astronautics.
    • (2000) Fluids 2000 Conference
    • Oberkampf, W.L.1    Trucano, T.G.2
  • 60
    • 0347859272 scopus 로고    scopus 로고
    • Measuring the Predictive Capability of Computational Models: Principles and Methods, Issues and Illustrations
    • Albuquerque, NM: SandiaNational Laboratories
    • Easterling, R.G. 2001. Measuring the Predictive Capability of Computational Models: Principles and Methods, Issues and Illustrations, SAND2001--0243. Albuquerque, NM: SandiaNational Laboratories.
    • (2001) SAND2001--0243
    • Easterling, R.G.1
  • 64
    • 77955199296 scopus 로고    scopus 로고
    • Guidelines on Expert-Opinion Elicitation of Probabilities and Consequences for Corps Facilities
    • Army Corps of Engineers, Institute for Water Resources
    • Ayyub, B.M. 1999. Guidelines on Expert-Opinion Elicitation of Probabilities and Consequences for Corps Facilities, DACW72-94-D-0003. Technical Report. U.S. Army Corps of Engineers, Institute for Water Resources.
    • (1999) DACW72-94-D-0003. Technical Report. U.S
    • Ayyub, B.M.1
  • 69
    • 84894492977 scopus 로고
    • Fuzzy Sets, Uncertainty, and Information
    • Englewood Cliffs, NJ: Prentice Hall
    • Klir, GJ. and T.A. Folger. 1988. Fuzzy Sets, Uncertainty, and Information. 1st ed. Englewood Cliffs, NJ: Prentice Hall.
    • (1988) 1st Ed
    • Klir, G.J.1    Folger, T.A.2
  • 74
    • 0004207439 scopus 로고
    • Princeton,NJ: D. van Nostrand
    • Halmos, P.R. 1950. Measure Theory. Princeton,NJ: D. van Nostrand.
    • (1950) Measure Theory
    • Halmos, P.R.1
  • 76
    • 1842778159 scopus 로고
    • Representing Imprecision in Engineering Design: Comparing Fuzzy and Probability Calculus
    • Wood, K.L., E.K. Antonsson, and J.L. Beck. 1990. Representing Imprecision in Engineering Design: Comparing Fuzzy and Probability Calculus, Research in Engineering Design. Vol. 1, pp. 187-203.
    • (1990) Research In Engineering Design , vol.1 , pp. 187-203
    • Wood, K.L.1    Antonsson, E.K.2    Beck, J.L.3
  • 77
    • 0003300560 scopus 로고
    • Fuzzy Rule-Based Modeling with Applications to Geophysical
    • Boca Raton, FL: CRC Press
    • Bardossy, A. and L. Duckstein. 1995. Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological and Engineering Systems. Boca Raton, FL: CRC Press.
    • (1995) Biological and Engineering Systems
    • Bardossy, A.1    Duckstein, L.2
  • 79
    • 0004065899 scopus 로고    scopus 로고
    • The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using
    • 2nd ed. San Diego, CA: AP Professional, Division of Academic Press
    • Cox, E. 1999. The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems. 2nd ed. San Diego, CA: AP Professional, Division of Academic Press.
    • (1999) And Maintaining Fuzzy Systems
    • Cox, E.1
  • 81
    • 0034211862 scopus 로고    scopus 로고
    • Optimal Redundancy Management in Reconfigurable Control Systems Based on Normalized Nonspecificity
    • Wu, N.E. and GJ. Klir. 2000. Optimal Redundancy Management in Reconfigurable Control Systems Based on Normalized Nonspecificity, International Journal of Systems Science. Vol. 31, no. 6, pp. 797-808.
    • (2000) International Journal of Systems Science , vol.31 , Issue.6 , pp. 797-808
    • Wu, N.E.1    Klir, G.J.2
  • 82
    • 0001513879 scopus 로고    scopus 로고
    • On Fuzzy-Set Interpretation of Possibility Theory
    • Klir, GJ. 1999. On Fuzzy-Set Interpretation of Possibility Theory, Fuzzy Sets and Systems. Vol. 108, no. 3, pp. 263-273.
    • (1999) Fuzzy Sets and Systems , vol.108 , Issue.3 , pp. 263-273
    • Klir, G.J.1
  • 83
    • 84894456614 scopus 로고
    • Possibilistic and Necessistic Reliability Functions: Fundamental Concepts and Theorems to Represent Non-Probabilistic Uncertainty in Reliability Theory, in Uncertainty Modelling and Analysis: Theory and Applications
    • B.M. Ayyub and M.M. Gupta, Eds. Elsevier: New York
    • Cappelle, B. and E.E. Kerre. 1994. Possibilistic and Necessistic Reliability Functions: Fundamental Concepts and Theorems to Represent Non-Probabilistic Uncertainty in Reliability Theory, in Uncertainty Modelling and Analysis: Theory and Applications, B.M. Ayyub and M.M. Gupta, Eds. Elsevier: New York. p. 131-144.
    • (1994) 131-144
    • Cappelle, B.1    Kerre, E.E.2
  • 86
    • 0034322487 scopus 로고    scopus 로고
    • Unified Approach to Probabilistic and Possibilistic Analysis of Uncertain Systems
    • Langley, R.S. 2000. Unified Approach to Probabilistic and Possibilistic Analysis of Uncertain Systems, Journal of Engineering Mechanics, pp. 1163-1172.
    • (2000) Journal of Engineering Mechanics , pp. 1163-1172
    • Langley, R.S.1
  • 89
    • 0022781988 scopus 로고
    • From Uncertainty to Approximate Reasoning: Part 1:Conceptual Models and Engineering Interpretations
    • Dong, W.-M. and F.S. Wong. 1986. From Uncertainty to Approximate Reasoning: Part 1:Conceptual Models and Engineering Interpretations, Civil Engineering Systems. Vol. 3, pp.143-154.
    • (1986) Civil Engineering Systems , vol.3 , pp. 143-154
    • Dong, W.-M.1    Wong, F.S.2
  • 90
    • 0041626669 scopus 로고
    • From Uncertainty to Approximate Reasoning: Part 3: Reasoning with Conditional Rules
    • Dong, W.-M. and F.S. Wong. 1987. From Uncertainty to Approximate Reasoning: Part 3: Reasoning with Conditional Rules, Civil Engineering Systems. Vol. 4, no. 1, pp. 45-53.
    • (1987) Civil Engineering Systems , vol.4 , Issue.1 , pp. 45-53
    • Dong, W.-M.1    Wong, F.S.2
  • 91
    • 0023596816 scopus 로고
    • Shafer-Dempster Reasoning with Applications to Multisensor Target Identification Systems
    • Bogler, P.L. 1987. Shafer-Dempster Reasoning with Applications to Multisensor Target Identification Systems, IEEE Transactions on Systems, Man, and Cybernetics. Vol. SMC-17,no. 6, pp. 968-977.
    • (1987) IEEE Transactions On Systems, Man, and Cybernetics , vol.SMC-17 , Issue.6 , pp. 968-977
    • Bogler, P.L.1
  • 92
    • 0042127632 scopus 로고
    • Generalized Uncertainty in Structural Reliability Assessment
    • Lai, K.-L. and B.M. Ayyub. 1994. Generalized Uncertainty in Structural Reliability Assessment, Civil Engineering Systems. Vol. 11, pp. 81-110.
    • (1994) Civil Engineering Systems , vol.11 , pp. 81-110
    • Lai, K.-L.1    Ayyub, B.M.2
  • 94
    • 0030931744 scopus 로고    scopus 로고
    • Using Dempster-Shafer Theory to Represent Climate Change Uncertainties
    • Luo, W.B. and W. Caselton. 1997. Using Dempster-Shafer Theory to Represent Climate Change Uncertainties, Journal of Environmental Management. Vol. 49, no. 1, pp. 73-93.
    • (1997) Journal of Environmental Management , vol.49 , Issue.1 , pp. 73-93
    • Luo, W.B.1    Caselton, W.2
  • 95
    • 0031189743 scopus 로고    scopus 로고
    • Analysis of Evidence-Theoretic Decision Rules for Pattern Classification
    • Denoeux, T. 1997. Analysis of Evidence-Theoretic Decision Rules for Pattern Classification, Pattern Recognition. Vol. 30, no. 7, pp. 1095-1107.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1095-1107
    • Denoeux, T.1
  • 96
    • 17544395348 scopus 로고    scopus 로고
    • Reasoning with Imprecise Belief Structures
    • Denoeux, T. 1999. Reasoning with Imprecise Belief Structures, International Journal of Ap- 103. proximate Reasoning. Vol. 20, no. 1, pp. 79-111.
    • (1999) International Journal of Approximate Reasoning , vol.20 , Issue.1 , pp. 79-111
    • Denoeux, T.1
  • 97
    • 0032670545 scopus 로고    scopus 로고
    • A design condition for incorporating human judgement into monitoring systems, Reliability Engineering and System Safety
    • Tanaka, K. and GJ. Klir. 1999. A design condition for incorporating human judgement into monitoring systems, Reliability Engineering and System Safety. Vol. 65, no. 3, pp. 251-258
    • (1999) , vol.65 , Issue.3 , pp. 251-258
    • Tanaka, K.1    Klir, G.J.2
  • 99
    • 0033413697 scopus 로고    scopus 로고
    • Conceptual Foundations of Quantum Mechanics: The Role of Evidence Theory, Quantum Sets, and Modal Logic
    • Resconi, G., GJ. Klir, and E. Pessa. 1999. Conceptual Foundations of Quantum Mechanics: The Role of Evidence Theory, Quantum Sets, and Modal Logic, International Journal of 107. Modern PhysicsC. Vol. 10, no. 1, pp. 29-62.
    • (1999) International Journal of 107. Modern PhysicsC , vol.10 , Issue.1 , pp. 29-62
    • Resconi, G.1    Klir, G.J.2    Pessa, E.3
  • 100
    • 0041626668 scopus 로고    scopus 로고
    • Applications of Possibility and Evidence Theory in Civil Engineering
    • Fetz, T., M. Oberguggenberger, and S. Pittschmann. 2000. Applications of Possibility and Evidence Theory in Civil Engineering, International Journal of Uncertainty. Vol. 8, no. 108. 3, pp. 295-309.
    • (2000) International Journal of Uncertainty , vol.8 , Issue.3 , pp. 295-309
    • Fetz, T.1    Oberguggenberger, M.2    Pittschmann, S.3
  • 101
    • 0034190746 scopus 로고    scopus 로고
    • Towards a Unified Theory of Imprecise Probability
    • Walley, P. 2000. Towards a Unified Theory of Imprecise Probability, International Journal of Approximate Reasoning. Vol. 24, no. 2-3, pp. 125-148.
    • (2000) International Journal of Approximate Reasoning , vol.24 , Issue.2-3 , pp. 125-148
    • Walley, P.1
  • 102
    • 0023314059 scopus 로고
    • Bayesian and Non-Bayesian Evidential Updating
    • Kyburg, H.E. 1987. Bayesian and Non-Bayesian Evidential Updating, Artificial Intelligence. Vol. 31, pp. 271-293.
    • (1987) Artificial Intelligence , vol.31 , pp. 271-293
    • Kyburg, H.E.1
  • 103
    • 0030146168 scopus 로고    scopus 로고
    • Measures of uncertainty in expert systems
    • Walley, P. 1996. Measures of uncertainty in expert systems, Artificial Intelligence. Vol. 83, no. 1, pp. 1-58.
    • (1996) Artificial Intelligence , vol.83 , Issue.1 , pp. 1-58
    • Walley, P.1
  • 105
    • 0013340796 scopus 로고    scopus 로고
    • Bayesian Inference Based on Interval-Valued Prior Distributions and Likelihoods
    • Pan, Y. and GJ. Klir. 1997. Bayesian Inference Based on Interval-Valued Prior Distributions and Likelihoods, Journal of Intelligent and Fuzzy Systems. Vol. 5, no. 3, pp. 193-203.
    • (1997) Journal of Intelligent and Fuzzy Systems , vol.5 , Issue.3 , pp. 193-203
    • Pan, Y.1    Klir, G.J.2
  • 106
    • 0026852552 scopus 로고
    • Two Views of Belief: Belief as Generalized Probability and Belief as Evidence
    • Halpern, J.Y. and R. Fagin. 1992. Two Views of Belief: Belief as Generalized Probability and Belief as Evidence, Artifical Intelligence. Vol. 54, no. 3, pp. 275-317.
    • (1992) Artifical Intelligence , vol.54 , Issue.3 , pp. 275-317
    • Halpern, J.Y.1    Fagin, R.2
  • 107
    • 0025028516 scopus 로고
    • Uncertainties in System Analysis: Probabilistic versus Nonprobabilistic Theories
    • Wu, J.S., G.E. Apostolakis, and D. Okrent. 1990. Uncertainties in System Analysis: Probabilistic versus Nonprobabilistic Theories, Reliability Engineering and System Safety. Vol. 30, pp. 163-181.
    • (1990) Reliability Engineering and System Safety , vol.30 , pp. 163-181
    • Wu, J.S.1    Apostolakis, G.E.2    Okrent, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.