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Volumn 148, Issue 1-2, 2003, Pages 1-9

Fuzzy set and possibility theory-based methods in artificial intelligence

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; KNOWLEDGE REPRESENTATION; MATHEMATICAL MODELS; PATTERN RECOGNITION;

EID: 0042129930     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0004-3702(03)00118-8     Document Type: Short Survey
Times cited : (44)

References (68)
  • 2
    • 0035575486 scopus 로고    scopus 로고
    • Recognition of gestures in Arabic sign language using neuro-fuzzy systems
    • Al-Jarrah O., Halawani A. Recognition of gestures in Arabic sign language using neuro-fuzzy systems. Artificial Intelligence. 133:2001;117-138.
    • (2001) Artificial Intelligence , vol.133 , pp. 117-138
    • Al-Jarrah, O.1    Halawani, A.2
  • 4
    • 0036467535 scopus 로고    scopus 로고
    • On the transformation between possibilistic logic bases and possibilistic causal networks
    • Benferhat S., Dubois D., Garcia L., Prade H. On the transformation between possibilistic logic bases and possibilistic causal networks. Internat. J. Approx. Reason. 29:(2):2002;135-173.
    • (2002) Internat. J. Approx. Reason. , vol.29 , Issue.2 , pp. 135-173
    • Benferhat, S.1    Dubois, D.2    Garcia, L.3    Prade, H.4
  • 5
    • 0031145253 scopus 로고    scopus 로고
    • Nonmonotonic reasoning, conditional objects and possibility theory
    • Benferhat S., Dubois D., Prade H. Nonmonotonic reasoning, conditional objects and possibility theory. Artificial Intelligence. 92:1997;259-276.
    • (1997) Artificial Intelligence , vol.92 , pp. 259-276
    • Benferhat, S.1    Dubois, D.2    Prade, H.3
  • 6
  • 9
    • 0036680316 scopus 로고    scopus 로고
    • Abstracting soft constraints: Framework, properties, examples
    • Bistarelli S., Codognet P., Rossi F. Abstracting soft constraints: Framework, properties, examples. Artificial Intelligence. 139:2002;175-211.
    • (2002) Artificial Intelligence , vol.139 , pp. 175-211
    • Bistarelli, S.1    Codognet, P.2    Rossi, F.3
  • 10
    • 0030652237 scopus 로고    scopus 로고
    • Financial applications of fuzzy case-based reasoning to residential property valuation
    • Barcelona, Spain
    • Bonissone P., Cheetham W. Financial applications of fuzzy case-based reasoning to residential property valuation. Proc. 6th IEEE Conf. on Fuzzy Systems (FUZZ-IEEE'97), Barcelona, Spain. 1997;37-44.
    • (1997) Proc. 6th IEEE Conf. on Fuzzy Systems (FUZZ-IEEE'97) , pp. 37-44
    • Bonissone, P.1    Cheetham, W.2
  • 11
    • 0010729966 scopus 로고    scopus 로고
    • Learning fuzzy decision rules
    • J.C. et al. Bezdek. Fuzzy Sets in Approximate Reasoning and Information Systems, Dordrecht: Kluwer Academic
    • Bouchon-Meunier B., Marsala C. Learning fuzzy decision rules. Bezdek J.C., et al. Fuzzy Sets in Approximate Reasoning and Information Systems. The Handbooks of Fuzzy Sets Series. 1999;279-304 Kluwer Academic, Dordrecht.
    • (1999) The Handbooks of Fuzzy Sets Series , pp. 279-304
    • Bouchon-Meunier, B.1    Marsala, C.2
  • 12
    • 0026998656 scopus 로고
    • Lexical imprecision in fuzzy constraints networks
    • San Jose, CA
    • Bowen J., Lai R., Bahler D. Lexical imprecision in fuzzy constraints networks. Proc. AAAI-92, San Jose, CA. 1992;616-620.
    • (1992) Proc. AAAI-92 , pp. 616-620
    • Bowen, J.1    Lai, R.2    Bahler, D.3
  • 13
    • 0043145764 scopus 로고    scopus 로고
    • A unified compilation style labelled deductive system for modal, substructural and fuzzy logic
    • V. Novak, & I. Perfilieva. Berlin: Springer
    • Broda K., Gabbay D.M., Russo A. A unified compilation style labelled deductive system for modal, substructural and fuzzy logic. Novak V., Perfilieva I. Discovering the World with Fuzzy Logic. 2000;495-548 Springer, Berlin.
    • (2000) Discovering the World with Fuzzy Logic , pp. 495-548
    • Broda, K.1    Gabbay, D.M.2    Russo, A.3
  • 16
    • 0030263061 scopus 로고    scopus 로고
    • Possibility theory in constraint satisfaction problems: Handling priority, preference and uncertainty
    • Dubois D., Fargier H., Prade H. Possibility theory in constraint satisfaction problems: Handling priority, preference and uncertainty. Appl. Intelligence. 6:1996;287-309.
    • (1996) Appl. Intelligence , vol.6 , pp. 287-309
    • Dubois, D.1    Fargier, H.2    Prade, H.3
  • 18
    • 0001245395 scopus 로고
    • Possibilistic logic
    • D.M. Gabbay, C.J. Hogger, J.A. Robinson, & D. Nute. Oxford: Oxford University Press
    • Dubois D., Lang J., Prade H. Possibilistic logic. Gabbay D.M., Hogger C.J., Robinson J.A., Nute D. Handbook of Logic in Artificial Intelligence Logic Programming, Vol. 3. 1994;439-513 Oxford University Press, Oxford.
    • (1994) Handbook of Logic in Artificial Intelligence Logic Programming , vol.3 , pp. 439-513
    • Dubois, D.1    Lang, J.2    Prade, H.3
  • 19
    • 0026187870 scopus 로고
    • Epistemic entrenchment and possibilistic logic
    • Dubois D., Prade H. Epistemic entrenchment and possibilistic logic. Artificial Intelligence. 50:1991;223-239.
    • (1991) Artificial Intelligence , vol.50 , pp. 223-239
    • Dubois, D.1    Prade, H.2
  • 20
    • 0001397001 scopus 로고    scopus 로고
    • The three semantics of fuzzy sets
    • Dubois D., Prade H. The three semantics of fuzzy sets. Fuzzy Sets and Systems. 90:1997;141-150.
    • (1997) Fuzzy Sets and Systems , vol.90 , pp. 141-150
    • Dubois, D.1    Prade, H.2
  • 22
    • 0002571253 scopus 로고    scopus 로고
    • Possibility theory: Qualitative and quantitative aspects
    • Quantified Representation of Uncertainty and Imprecision, D.M. Gabbay, Smets Ph. Dordrecht: Kluwer Academic
    • Dubois D., Prade H. Possibility theory: Qualitative and quantitative aspects. Quantified Representation of Uncertainty and Imprecision. Gabbay D.M., Smets Ph. Handbook of Defeasible Reasoning and Uncertainty Management Systems. 1:1998;169-226 Kluwer Academic, Dordrecht.
    • (1998) Handbook of Defeasible Reasoning and Uncertainty Management Systems , vol.1 , pp. 169-226
    • Dubois, D.1    Prade, H.2
  • 24
    • 0041642962 scopus 로고    scopus 로고
    • An overview of ordinal and numerical approaches to causal diagnostic problem solving
    • J. Gebhardt, & R. Kruse. Abductive Reasoning and Learning, D.M. Gabbay, & P. Smets
    • Dubois D., Prade H. An overview of ordinal and numerical approaches to causal diagnostic problem solving. Gebhardt J., Kruse R. Abductive Reasoning and Learning. Gabbay D.M., Smets P. Handbook of Defeasible Reasoning and Uncertainty Management Systems. 4:2000;231-280.
    • (2000) Handbook of Defeasible Reasoning and Uncertainty Management Systems , vol.4 , pp. 231-280
    • Dubois, D.1    Prade, H.2
  • 25
    • 0035618193 scopus 로고    scopus 로고
    • Possibility theory, probability theory and multiple-valued logics: A clarification
    • Dubois D., Prade H. Possibility theory, probability theory and multiple-valued logics: A clarification. Ann. Math. Artificial Intelligence. 32:2001;35-66.
    • (2001) Ann. Math. Artificial Intelligence , vol.32 , pp. 35-66
    • Dubois, D.1    Prade, H.2
  • 26
    • 13944263120 scopus 로고    scopus 로고
    • Fuzzy sets, logics and reasoning about knowledge
    • Dordrecht: Kluwer Academic
    • Dubois D., Prade H., Klement E.P. Fuzzy Sets, Logics and Reasoning about Knowledge. Applied Logic Series. 15:1999;Kluwer Academic, Dordrecht.
    • (1999) Applied Logic Series , vol.15
    • Dubois, D.1    Prade, H.2    Klement, E.P.3
  • 27
    • 0035254924 scopus 로고    scopus 로고
    • Decision theoretic foundations of qualitative possibility theory
    • Dubois D., Prade H., Sabbadin R. Decision theoretic foundations of qualitative possibility theory. Eur. J. Oper. Res. 128:2001;459-478.
    • (2001) Eur. J. Oper. Res. , vol.128 , pp. 459-478
    • Dubois, D.1    Prade, H.2    Sabbadin, R.3
  • 28
    • 84937434134 scopus 로고    scopus 로고
    • New semantics for quantitative possibility theory
    • Symbolic and Quantitative Approach to Reasoning under Uncertainty, Proc. 6th Europ. Conf. (ECSQARU 2001), Toulouse, Berlin: Springer
    • Dubois D., Prade H., Smets Ph. New semantics for quantitative possibility theory. Symbolic and Quantitative Approach to Reasoning under Uncertainty, Proc. 6th Europ. Conf. (ECSQARU 2001), Toulouse. Lecture Notes in Artificial Intelligence. 2143:2001;410-421 Springer, Berlin.
    • (2001) Lecture Notes in Artificial Intelligence , vol.2143 , pp. 410-421
    • Dubois, D.1    Prade, H.2    Smets, Ph.3
  • 29
    • 0035900852 scopus 로고    scopus 로고
    • Monoidal t-norm based logic: Towards a logic for left-continuous t-norms
    • Esteva F., Godo L. Monoidal t-norm based logic: Towards a logic for left-continuous t-norms. Fuzzy Sets and Systems. 124:(3):2001;271-288.
    • (2001) Fuzzy Sets and Systems , vol.124 , Issue.3 , pp. 271-288
    • Esteva, F.1    Godo, L.2
  • 30
    • 0042644865 scopus 로고    scopus 로고
    • Plausibility measures and default reasoning
    • Friedman N., Halpern J.Y. Plausibility measures and default reasoning. J. ACM. 48:(4):2001;648-685.
    • (2001) J. ACM , vol.48 , Issue.4 , pp. 648-685
    • Friedman, N.1    Halpern, J.Y.2
  • 31
    • 0042644860 scopus 로고    scopus 로고
    • How to make your logic fuzzy: Fibred semantics and the weaving of logics
    • D. Dubois, H. Prade, & E.P. Klement. Dordrecht: Kluwer Academic
    • Gabbay D.M. How to make your logic fuzzy: Fibred semantics and the weaving of logics. Dubois D., Prade H., Klement E.P. Fuzzy Sets, Logics and Reasoning about Knowledge. 1999;51-84 Kluwer Academic, Dordrecht.
    • (1999) Fuzzy Sets, Logics and Reasoning about Knowledge , pp. 51-84
    • Gabbay, D.M.1
  • 33
  • 34
    • 0037331431 scopus 로고    scopus 로고
    • Qualitative reasoning based on fuzzy relative orders of magnitude
    • Hadj-Ali A., Dubois D., Prade H. Qualitative reasoning based on fuzzy relative orders of magnitude. IEEE Trans. Fuzzy Systems. 11:(1):2003;9-23.
    • (2003) IEEE Trans. Fuzzy Systems , vol.11 , Issue.1 , pp. 9-23
    • Hadj-Ali, A.1    Dubois, D.2    Prade, H.3
  • 36
    • 0000673538 scopus 로고    scopus 로고
    • Basic fuzzy logic and BL-algebras
    • Hajek P. Basic fuzzy logic and BL-algebras. Soft Comput. 2:(3):1998;124-128.
    • (1998) Soft Comput. , vol.2 , Issue.3 , pp. 124-128
    • Hajek, P.1
  • 37
    • 0043145761 scopus 로고    scopus 로고
    • Fuzzy e-negotiation agents
    • Kowalczyk R. Fuzzy e-negotiation agents. Soft Comput. 6:2002;337-347.
    • (2002) Soft Comput. , vol.6 , pp. 337-347
    • Kowalczyk, R.1
  • 39
    • 0030389007 scopus 로고    scopus 로고
    • Possibilistic reasoning - A mini-survey and uniform semantics
    • Liau C.-J., Lin B.I.-P. Possibilistic reasoning - A mini-survey and uniform semantics. Artificial Intelligence. 88:(1-2):1996;163-193.
    • (1996) Artificial Intelligence , vol.88 , Issue.1-2 , pp. 163-193
    • Liau, C.-J.1    Lin, B.I.-P.2
  • 40
    • 0026867827 scopus 로고
    • What does a conditional knowledge base entail?
    • Lehmann D., Magidor M. What does a conditional knowledge base entail? Artificial Intelligence. 55:1992;1-60.
    • (1992) Artificial Intelligence , vol.55 , pp. 1-60
    • Lehmann, D.1    Magidor, M.2
  • 41
    • 0036272295 scopus 로고    scopus 로고
    • Evaluation of two different models of semi-automatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA
    • Leitich H., Adlassnig K.P., Kolarz G. Evaluation of two different models of semi-automatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA. Artificial Intelligence in Medicine. 25:(3):2002;215-225.
    • (2002) Artificial Intelligence in Medicine , vol.25 , Issue.3 , pp. 215-225
    • Leitich, H.1    Adlassnig, K.P.2    Kolarz, G.3
  • 42
    • 0030513644 scopus 로고    scopus 로고
    • Development and evaluation of fuzzy criteria for the diagnosis of rheumathoid arthritis
    • Leitich H., Adlassnig K.P., Kolarz G. Development and evaluation of fuzzy criteria for the diagnosis of rheumathoid arthritis. Methods Inf. Med. 35:1996;334-342.
    • (1996) Methods Inf. Med. , vol.35 , pp. 334-342
    • Leitich, H.1    Adlassnig, K.P.2    Kolarz, G.3
  • 43
    • 0042644861 scopus 로고    scopus 로고
    • Fuzzy logic in artificial intelligence (proc. of selected papers of the IJCAI'95 workshop, Montréal, Quebec, 1995)
    • Berlin: Springer
    • Martin T.P., Ralescu A.L. Fuzzy Logic in Artificial Intelligence (Proc. of selected papers of the IJCAI'95 Workshop, Montréal, Quebec, 1995). Lecture Notes in Artificial Intelligence. 1188:1997;Springer, Berlin.
    • (1997) Lecture Notes in Artificial Intelligence , vol.1188
    • Martin, T.P.1    Ralescu, A.L.2
  • 44
    • 0001944055 scopus 로고    scopus 로고
    • Reasoning on imprecisely defined functions
    • V. Novak, & I. Perfilieva. Discovering the World with Fuzzy Logic, Physica-Verlag, Springer
    • Mundici D. Reasoning on imprecisely defined functions. Novak V., Perfilieva I. Discovering the World with Fuzzy Logic. Studies in Fuzziness and Soft Computing. 57:2000;331-366 Physica-Verlag, Springer.
    • (2000) Studies in Fuzziness and Soft Computing , vol.57 , pp. 331-366
    • Mundici, D.1
  • 45
    • 0012839006 scopus 로고    scopus 로고
    • Neuro-fuzzy methods in fuzzy rule generation
    • J.C. et al. Bezdek. Fuzzy Sets in Approximate Reasoning and Information Systems, Dordrecht: Kluwer Academic
    • Nauck D., Kruse R. Neuro-fuzzy methods in fuzzy rule generation. Bezdek J.C., et al. Fuzzy Sets in Approximate Reasoning and Information Systems. The Handbooks of Fuzzy Sets Series. 1999;305-334 Kluwer Academic, Dordrecht.
    • (1999) The Handbooks of Fuzzy Sets Series , pp. 305-334
    • Nauck, D.1    Kruse, R.2
  • 49
    • 0002634765 scopus 로고
    • System Z: A natural ordering of defaults with tractable applications to default reasoning
    • San Mateo, CA: Morgan Kaufmann
    • Pearl J. System Z: A natural ordering of defaults with tractable applications to default reasoning. Proc. of the 3rd Conf. on Theoretical Aspects of Reasoning about Knowledge (TARK'90). 1990;121-135 Morgan Kaufmann, San Mateo, CA.
    • (1990) Proc. of the 3rd Conf. on Theoretical Aspects of Reasoning about Knowledge (TARK'90) , pp. 121-135
    • Pearl, J.1
  • 50
    • 0041642959 scopus 로고
    • Fuzzy logic in artificial intelligence. Towards intelligent systems
    • Proc. IJCAI-93, Chambéry, France, 1993. Berlin: Springer
    • Ralescu A.L. Fuzzy Logic in Artificial Intelligence. Towards Intelligent Systems, Proc. IJCAI-93, Chambéry, France, 1993. Lecture Notes in Artificial Intelligence. 847:1994;Springer, Berlin.
    • (1994) Lecture Notes in Artificial Intelligence , vol.847
    • Ralescu, A.L.1
  • 51
    • 0043145762 scopus 로고    scopus 로고
    • Fuzzy logic in artificial intelligence (proc. of selected papers of the IJCAI-97 workshop)
    • Berlin: Springer
    • Ralescu A.L., Shanahan J.G. Fuzzy Logic in Artificial Intelligence (Proc. of selected papers of the IJCAI-97 Workshop). Lecture Notes in Artificial Intelligence. 1566:1999;Springer, Berlin.
    • (1999) Lecture Notes in Artificial Intelligence , vol.1566
    • Ralescu, A.L.1    Shanahan, J.G.2
  • 52
    • 0032180536 scopus 로고    scopus 로고
    • Towards qualitative approaches to multi-stage decision making
    • Sabbadin R., Fargier H., Lang J. Towards qualitative approaches to multi-stage decision making. Internat. J. Approx. Reason. 19:(3-4):1998;441-471.
    • (1998) Internat. J. Approx. Reason. , vol.19 , Issue.3-4 , pp. 441-471
    • Sabbadin, R.1    Fargier, H.2    Lang, J.3
  • 54
    • 0031164253 scopus 로고    scopus 로고
    • Dynamic reasoning with qualified syllogisms
    • Schwartz D.G. Dynamic reasoning with qualified syllogisms. Artificial Intelligence. 93:(1-2):1997;103-167.
    • (1997) Artificial Intelligence , vol.93 , Issue.1-2 , pp. 103-167
    • Schwartz, D.G.1
  • 55
    • 0037187409 scopus 로고    scopus 로고
    • Approximate reasoning by similarity-based SLD resolution
    • Sessa M.I. Approximate reasoning by similarity-based SLD resolution. Theoret. Comput. Sci. 275:(1-2):2002;389-426.
    • (2002) Theoret. Comput. Sci. , vol.275 , Issue.1-2 , pp. 389-426
    • Sessa, M.I.1
  • 58
    • 0000731447 scopus 로고
    • Ordinal conditional functions: A dynamic theory of epistemic states
    • W. Harper, & B. Skyrms. Dordrecht: D. Reidel
    • Spohn W. Ordinal conditional functions: A dynamic theory of epistemic states. Harper W., Skyrms B. Causation in Decision, Belief Change and Statistics, Vol. 2. 1988;105-134 D. Reidel, Dordrecht.
    • (1988) Causation in Decision, Belief Change and Statistics , vol.2 , pp. 105-134
    • Spohn, W.1
  • 60
    • 0030146168 scopus 로고    scopus 로고
    • Measures of uncertainty in expert systems
    • Walley P. Measures of uncertainty in expert systems. Artificial Intelligence. 83:1996;1-58.
    • (1996) Artificial Intelligence , vol.83 , pp. 1-58
    • Walley, P.1
  • 63
    • 84943245450 scopus 로고    scopus 로고
    • Possibilistic reasoning for intelligent payment agents
    • R. Kowalczyk, & M. Lee. Proc. 2d Workshop on Artificial Intelligence in Electronic Commerce (AIEC 2000), Melbourne, Australia, Berlin: Springer
    • Wong O., Lau R. Possibilistic reasoning for intelligent payment agents. Kowalczyk R., Lee M. Proc. 2d Workshop on Artificial Intelligence in Electronic Commerce (AIEC 2000), Melbourne, Australia. Lecture Notes in Artificial Intelligence. 2112:2000;170-180 Springer, Berlin.
    • (2000) Lecture Notes in Artificial Intelligence , vol.2112 , pp. 170-180
    • Wong, O.1    Lau, R.2
  • 64
    • 0037121227 scopus 로고    scopus 로고
    • Possibilistic causality consistency problem based on asymmetrically-valued causal model
    • Yamada K. Possibilistic causality consistency problem based on asymmetrically-valued causal model. Fuzzy Sets and Systems. 132:2002;33-48.
    • (2002) Fuzzy Sets and Systems , vol.132 , pp. 33-48
    • Yamada, K.1
  • 66
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • Zadeh L.A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems. 1:1978;3-28.
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 3-28
    • Zadeh, L.A.1
  • 67
    • 0001096516 scopus 로고
    • A theory of approximate reasoning
    • J.E. Hayes, D. Michie, MikulichL.I. New York: Elsevier
    • Zadeh L.A. A theory of approximate reasoning. Hayes J.E., Michie D., Mikulich L.I. Machine Intelligence. 9:1979;149-194 Elsevier, New York.
    • (1979) Machine Intelligence , vol.9 , pp. 149-194
    • Zadeh, L.A.1
  • 68
    • 0035279095 scopus 로고    scopus 로고
    • A new direction in AI: Toward a computational theory of perceptions
    • Zadeh L.A. A new direction in AI: Toward a computational theory of perceptions. AI Magazine. 22:(1):2001;73-84.
    • (2001) AI Magazine , vol.22 , Issue.1 , pp. 73-84
    • Zadeh, L.A.1


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