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Volumn 55, Issue 7, 2014, Pages 1502-1518

Statistical reasoning with set-valued information: Ontic vs. epistemic views

Author keywords

Evidence theory; Fuzzy sets; Imprecise probability; Incomplete information; Possibility theory; Random sets

Indexed keywords

ARTIFICIAL INTELLIGENCE; SOFTWARE ENGINEERING;

EID: 84905124185     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2013.07.002     Document Type: Conference Paper
Times cited : (109)

References (78)
  • 1
    • 34247199459 scopus 로고    scopus 로고
    • Joint propagation of probability and possibility in risk analysis: Towards a formal framework
    • DOI 10.1016/j.ijar.2006.07.001, PII S0888613X06000570
    • C. Baudrit, I. Couso, and D. Dubois Joint propagation of probability and possibility in risk analysis: Towards a formal framework Int. J. Approx. Reason. 45 2007 82 105 (Pubitemid 46617875)
    • (2007) International Journal of Approximate Reasoning , vol.45 , Issue.1 , pp. 82-105
    • Baudrit, C.1    Couso, I.2    Dubois, D.3
  • 3
    • 84897139873 scopus 로고    scopus 로고
    • A distance-based statistical analysis of fuzzy number-valued data
    • A. Blanco-Fernández et al. A distance-based statistical analysis of fuzzy number-valued data Int. J. Approx. Reason. 55 7 2014 1487 1501
    • (2014) Int. J. Approx. Reason. , vol.55 , Issue.7 , pp. 1487-1501
    • Blanco-Fernández, A.1
  • 4
  • 6
    • 84884648457 scopus 로고    scopus 로고
    • Some remarks on fuzzy differential equations via differential inclusions
    • in press
    • Y. Chalco-Cano, and H. Román-Flores Some remarks on fuzzy differential equations via differential inclusions Fuzzy Sets Syst. 2013 http://dx.doi.org/10.1016/j.fss.2013.04.017 in press
    • (2013) Fuzzy Sets Syst.
    • Chalco-Cano, Y.1    Román-Flores, H.2
  • 7
    • 56049120809 scopus 로고    scopus 로고
    • Statistical inference about the means of fuzzy random variables: Applications to the analysis of fuzzy- and real-valued data
    • A. Colubi Statistical inference about the means of fuzzy random variables: Applications to the analysis of fuzzy- and real-valued data Fuzzy Sets and Systems 160 3 2009 344 356
    • (2009) Fuzzy Sets and Systems , vol.160 , Issue.3 , pp. 344-356
    • Colubi, A.1
  • 9
    • 79955551124 scopus 로고    scopus 로고
    • A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
    • O. Cordón A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems Int. J. Approx. Reason. 52 6 2011 894 913
    • (2011) Int. J. Approx. Reason. , vol.52 , Issue.6 , pp. 894-913
    • Cordón, O.1
  • 10
    • 70350047129 scopus 로고    scopus 로고
    • On the variability of the concept of variance for fuzzy random variables
    • I. Couso, and D. Dubois On the variability of the concept of variance for fuzzy random variables IEEE Trans. Fuzzy Syst. 17 2009 1070 1080
    • (2009) IEEE Trans. Fuzzy Syst. , vol.17 , pp. 1070-1080
    • Couso, I.1    Dubois, D.2
  • 11
    • 77955469726 scopus 로고    scopus 로고
    • Independence concepts in evidence theory
    • I. Couso, and S. Moral Independence concepts in evidence theory Int. J. Approx. Reason. 51 2010 748 758
    • (2010) Int. J. Approx. Reason. , vol.51 , pp. 748-758
    • Couso, I.1    Moral, S.2
  • 13
    • 0141586405 scopus 로고    scopus 로고
    • A survey of concepts of independence for imprecise probabilities
    • I. Couso, S. Moral, and P. Walley A survey of concepts of independence for imprecise probabilities Risk Decis. Policy 5 2000 165 181
    • (2000) Risk Decis. Policy , vol.5 , pp. 165-181
    • Couso, I.1    Moral, S.2    Walley, P.3
  • 14
    • 36048943078 scopus 로고    scopus 로고
    • Higher order models for fuzzy random variables
    • DOI 10.1016/j.fss.2007.09.004, PII S0165011407003971
    • I. Couso, and L. Sánchez Higher order models for fuzzy random variables Fuzzy Sets and Systems 159 2008 237 258 (Pubitemid 350086691)
    • (2008) Fuzzy Sets and Systems , vol.159 , Issue.3 , pp. 237-258
    • Couso, I.1    Sanchez, L.2
  • 15
    • 78650814696 scopus 로고    scopus 로고
    • Upper and lower probabilities induced by a fuzzy random variable
    • I. Couso, and L. Sánchez Upper and lower probabilities induced by a fuzzy random variable Fuzzy Sets and Systems 165 2011 1 23
    • (2011) Fuzzy Sets and Systems , vol.165 , pp. 1-23
    • Couso, I.1    Sánchez, L.2
  • 16
    • 78651349058 scopus 로고    scopus 로고
    • Mark-recapture techniques in statistical tests for imprecise data
    • I. Couso, and L. Sánchez Mark-recapture techniques in statistical tests for imprecise data Int. J. Approx. Reason. 52 2011 240 260
    • (2011) Int. J. Approx. Reason. , vol.52 , pp. 240-260
    • Couso, I.1    Sánchez, L.2
  • 18
    • 0036661201 scopus 로고    scopus 로고
    • A possibilistic hierarchical model for behaviour under uncertainty
    • DOI 10.1023/A:1020296514974
    • G. De Cooman, and P. Walley An imprecise hierarchical model for behaviour under uncertainty Theory and Decision 52 2002 327 374 (Pubitemid 35275761)
    • (2002) Theory and Decision , vol.52 , Issue.4 , pp. 327-374
    • De Cooman, G.1    Walley, P.2
  • 19
    • 0000516376 scopus 로고
    • Upper and lower probabilities induced by a multivalued mapping
    • A.P. Dempster Upper and lower probabilities induced by a multivalued mapping Ann. Math. Stat. 38 1967 325 339
    • (1967) Ann. Math. Stat. , vol.38 , pp. 325-339
    • Dempster, A.P.1
  • 20
    • 80052261743 scopus 로고    scopus 로고
    • Maximum likelihood estimation from fuzzy data using the em algorithm
    • T. Denoeux Maximum likelihood estimation from fuzzy data using the EM algorithm Fuzzy Sets and Systems 183 1 2011 72 91
    • (2011) Fuzzy Sets and Systems , vol.183 , Issue.1 , pp. 72-91
    • Denoeux, T.1
  • 21
    • 77949851470 scopus 로고    scopus 로고
    • Representing uncertainty on set-valued variables using belief functions
    • T. Denoeux, Z. Younes, and F. Abdallah Representing uncertainty on set-valued variables using belief functions Artificial Intelligence 174 7-8 2010 479 499
    • (2010) Artificial Intelligence , vol.174 , Issue.78 , pp. 479-499
    • Denoeux, T.1    Younes, Z.2    Abdallah, F.3
  • 22
    • 0000325717 scopus 로고
    • Fuzzy least squares
    • P. Diamond Fuzzy least squares Inform. Sci. 46 1988 141 157
    • (1988) Inform. Sci. , vol.46 , pp. 141-157
    • Diamond, P.1
  • 24
    • 33750284976 scopus 로고    scopus 로고
    • Possibility theory and statistical reasoning
    • DOI 10.1016/j.csda.2006.04.015, PII S0167947306001149
    • D. Dubois Possibility theory and statistical reasoning Comput. Statist. Data Anal. 51 2006 47 69 (Pubitemid 44634800)
    • (2006) Computational Statistics and Data Analysis , vol.51 , Issue.1 , pp. 47-69
    • Dubois, D.1
  • 25
    • 80052970862 scopus 로고    scopus 로고
    • The role of fuzzy sets in decision sciences: Old techniques and new directions
    • D. Dubois The role of fuzzy sets in decision sciences: Old techniques and new directions Fuzzy Sets and Systems 184 2011 3 28
    • (2011) Fuzzy Sets and Systems , vol.184 , pp. 3-28
    • Dubois, D.1
  • 26
    • 84860998817 scopus 로고    scopus 로고
    • Conditioning in Dempster-Shafer theory: Prediction vs revision
    • T. Denoeux, M.-H. Masson, Advances in Soft Computing Springer
    • D. Dubois, and T. Denoeux Conditioning in Dempster-Shafer theory: Prediction vs. revision T. Denoeux, M.-H. Masson, Belief Functions Advances in Soft Computing vol. 164 2012 Springer 385 392
    • (2012) Belief Functions , vol.164 , pp. 385-392
    • Dubois, D.1    Denoeux, T.2
  • 27
    • 3042796443 scopus 로고    scopus 로고
    • Probability-possibility transformations, triangular fuzzy sets, and probabilistic inequalities
    • D. Dubois, L. Foulloy, G. Mauris, and H. Prade Probability-possibility transformations, triangular fuzzy sets, and probabilistic inequalities Reliab. Comput. 10 2004 273 297
    • (2004) Reliab. Comput. , vol.10 , pp. 273-297
    • Dubois, D.1    Foulloy, L.2    Mauris, G.3    Prade, H.4
  • 29
    • 0023830503 scopus 로고
    • Incomplete conjunctive information
    • D. Dubois, and H. Prade Incomplete conjunctive information Comput. Math. Appl. 15 1988 797 810
    • (1988) Comput. Math. Appl. , vol.15 , pp. 797-810
    • Dubois, D.1    Prade, H.2
  • 30
    • 0010965368 scopus 로고
    • When upper probabilities are possibility measures
    • D. Dubois, and H. Prade When upper probabilities are possibility measures Fuzzy Sets and Systems 49 1992 65 74
    • (1992) Fuzzy Sets and Systems , vol.49 , pp. 65-74
    • Dubois, D.1    Prade, H.2
  • 31
    • 0001397001 scopus 로고    scopus 로고
    • The three semantics of fuzzy sets
    • PII S0165011497000808
    • D. Dubois, and H. Prade The three semantics of fuzzy sets Fuzzy Sets and Systems 90 1997 141 150 (Pubitemid 127683684)
    • (1997) Fuzzy Sets and Systems , vol.90 , Issue.2 , pp. 141-150
    • Dubois, D.1    Prade, H.2
  • 33
    • 84856101730 scopus 로고    scopus 로고
    • Gradualness, uncertainty and bipolarity: Making sense of fuzzy sets
    • D. Dubois, and H. Prade Gradualness, uncertainty and bipolarity: Making sense of fuzzy sets Fuzzy Sets and Systems 192 2012 3 24
    • (2012) Fuzzy Sets and Systems , vol.192 , pp. 3-24
    • Dubois, D.1    Prade, H.2
  • 34
    • 0002260209 scopus 로고
    • A new approach to updating beliefs
    • P.P. Bonissone, M. Henrion, L.N. Kanal, J.F. Lemmer, UAI'91 Elsevier Science New York
    • R. Fagin, and J.Y. Halpern A new approach to updating beliefs P.P. Bonissone, M. Henrion, L.N. Kanal, J.F. Lemmer, Uncertainty in Artificial Intelligence UAI'91 1991 Elsevier Science New York 347 374
    • (1991) Uncertainty in Artificial Intelligence , pp. 347-374
    • Fagin, R.1    Halpern, J.Y.2
  • 39
    • 84856734042 scopus 로고    scopus 로고
    • Fuzzy data treated as functional data. A one-way ANOVA test approach
    • G. González-Rodríguez, A. Colubi, and M.A. Gil Fuzzy data treated as functional data. A one-way ANOVA test approach Comput. Stat. Data Anal. 56 4 2012 943 955
    • (2012) Comput. Stat. Data Anal. , vol.56 , Issue.4 , pp. 943-955
    • González-Rodríguez, G.1    Colubi, A.2    Gil, M.A.3
  • 40
    • 0001238592 scopus 로고
    • Bayesian updating and belief functions
    • J.Y. Jaffray Bayesian updating and belief functions IEEE Trans. Syst. Man Cybern. 22 1992 1144 1152
    • (1992) IEEE Trans. Syst. Man Cybern. , vol.22 , pp. 1144-1152
    • Jaffray, J.Y.1
  • 41
    • 0002109629 scopus 로고    scopus 로고
    • On the variance of fuzzy random variables
    • PII S0165011496001698
    • R. Körner On the variance of fuzzy random variables Fuzzy Sets and Systems 92 1997 83 93 (Pubitemid 127683726)
    • (1997) Fuzzy Sets and Systems , vol.92 , Issue.1 , pp. 83-93
    • Korner, R.1
  • 43
    • 84880818961 scopus 로고    scopus 로고
    • Action representation and partially observable planning using epistemic logic
    • IJCAI-03, Acapulco Morgan Kaufmann San Francisco
    • A. Herzig, J. Lang, and P. Marquis Action representation and partially observable planning using epistemic logic Proc. Int. Joint Conf. on Artificial Intelligence IJCAI-03, Acapulco 2003 Morgan Kaufmann San Francisco 1067 1072
    • (2003) Proc. Int. Joint Conf. on Artificial Intelligence , pp. 1067-1072
    • Herzig, A.1    Lang, J.2    Marquis, P.3
  • 44
    • 0002594297 scopus 로고    scopus 로고
    • An approach to modelling and simulation of uncertain dynamical systems
    • E. Huellermeier An approach to modelling and simulation of uncertain dynamical systems Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 5 1997 117 137
    • (1997) Int. J. Uncertain. Fuzziness Knowl.-Based Syst. , vol.5 , pp. 117-137
    • Huellermeier, E.1
  • 45
    • 0002210779 scopus 로고
    • Foundations of a theory of random sets
    • E.F. Harding, D.G. Kendall, Wiley New York
    • D.G. Kendall Foundations of a theory of random sets E.F. Harding, D.G. Kendall, Stochastic Geometry 1974 Wiley New York 322 376
    • (1974) Stochastic Geometry , pp. 322-376
    • Kendall, D.G.1
  • 46
    • 33745356617 scopus 로고    scopus 로고
    • Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms
    • DOI 10.1016/j.ijar.2005.12.001, PII S0888613X05000964
    • V. Kreinovich, G. Xiang, and S. Ferson Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms Int. J. Approx. Reason. 42 3 2006 212 227 (Pubitemid 43947491)
    • (2006) International Journal of Approximate Reasoning , vol.42 , Issue.3 , pp. 212-227
    • Kreinovich, V.1    Xiang, G.2    Ferson, S.3
  • 48
    • 6344232554 scopus 로고
    • Fuzzy random variables - I. Definitions and theorems
    • H. Kwakernaak Fuzzy random variables - I. Definitions and theorems Inform. Sci. 15 1978 1 29
    • (1978) Inform. Sci. , vol.15 , pp. 1-29
    • Kwakernaak, H.1
  • 49
    • 26944480882 scopus 로고
    • Fuzzy random variables - II. Algorithms and examples for the discrete case
    • H. Kwakernaak Fuzzy random variables - II. Algorithms and examples for the discrete case Inform. Sci. 17 1979 253 278
    • (1979) Inform. Sci. , vol.17 , pp. 253-278
    • Kwakernaak, H.1
  • 50
    • 0002066122 scopus 로고
    • Scoring rules and the inevitability of probability
    • D.V. Lindley Scoring rules and the inevitability of probability Int. Stat. Rev. 50 1982 1 26
    • (1982) Int. Stat. Rev. , vol.50 , pp. 1-26
    • Lindley, D.V.1
  • 51
    • 77958559752 scopus 로고    scopus 로고
    • Kriging and epistemic uncertainty: A critical discussion
    • R. Jeansoulin, Springer Berlin, Heidelberg, New York
    • K. Loquin, and D. Dubois Kriging and epistemic uncertainty: a critical discussion R. Jeansoulin, Methods for Handling Imperfect Spatial Information 2010 Springer Berlin, Heidelberg, New York 269 305
    • (2010) Methods for Handling Imperfect Spatial Information , pp. 269-305
    • Loquin, K.1    Dubois, D.2
  • 52
    • 77958045405 scopus 로고    scopus 로고
    • Kriging with ill-known variogram and data
    • A. Hunter, SUM 2010, Toulouse, Deshpande LNAI Springer Berlin, Heidelberg, New York
    • K. Loquin, and D. Dubois Kriging with ill-known variogram and data A. Hunter, Scalable Uncertainty Management SUM 2010, Toulouse, Deshpande LNAI vol. 6379 2010 Springer Berlin, Heidelberg, New York 219 235
    • (2010) Scalable Uncertainty Management , vol.6379 , pp. 219-235
    • Loquin, K.1    Dubois, D.2
  • 54
    • 0003236553 scopus 로고
    • Methods and Applications of Interval Analysis
    • SIAM Philadelphia
    • R. Moore Methods and Applications of Interval Analysis Studies in Applied Mathematics 1979 SIAM Philadelphia
    • (1979) Studies in Applied Mathematics
    • Moore, R.1
  • 55
    • 0001583284 scopus 로고
    • On random sets and belief functions
    • H.T. Nguyen On random sets and belief functions J. Math. Anal. Appl. 65 1978 531 542
    • (1978) J. Math. Anal. Appl. , vol.65 , pp. 531-542
    • Nguyen, H.T.1
  • 57
    • 84855423291 scopus 로고    scopus 로고
    • Relevance and truthfulness in information correction and fusion
    • F. Pichon, D. Dubois, and T. Denoeux Relevance and truthfulness in information correction and fusion Int. J. Approx. Reason. 53 2012 159 175
    • (2012) Int. J. Approx. Reason. , vol.53 , pp. 159-175
    • Pichon, F.1    Dubois, D.2    Denoeux, T.3
  • 58
    • 80053069334 scopus 로고    scopus 로고
    • Maximum-likelihood principle for possibility distributions viewed as families of probabilities
    • FUZZ-IEEE 2011, Taipei, IEEE
    • H. Prade, and M. Serrurier Maximum-likelihood principle for possibility distributions viewed as families of probabilities IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2011, Taipei, IEEE 2011 2987 2993
    • (2011) IEEE International Conference on Fuzzy Systems , pp. 2987-2993
    • Prade, H.1    Serrurier, M.2
  • 60
    • 84856764964 scopus 로고    scopus 로고
    • K-sample tests for equality of variances of random fuzzy sets
    • A.B. Ramos-Guajardo, and M.A. Lubiano K-sample tests for equality of variances of random fuzzy sets Comput. Statist. Data Anal. 56 2012 956 966
    • (2012) Comput. Statist. Data Anal. , vol.56 , pp. 956-966
    • Ramos-Guajardo, A.B.1    Lubiano, M.A.2
  • 63
    • 0000241667 scopus 로고
    • Languages and designs for probability
    • G. Shafer, and A. Tversky Languages and designs for probability Cogn. Sci. 9 1985 309 339
    • (1985) Cogn. Sci. , vol.9 , pp. 309-339
    • Shafer, G.1    Tversky, A.2
  • 64
    • 78650809991 scopus 로고    scopus 로고
    • Computing the variance of interval and fuzzy data
    • M. Spadoni, and L. Stefanini Computing the variance of interval and fuzzy data Fuzzy Sets and Systems 165 2011 24 36
    • (2011) Fuzzy Sets and Systems , vol.165 , pp. 24-36
    • Spadoni, M.1    Stefanini, L.2
  • 65
    • 58049213924 scopus 로고    scopus 로고
    • Genetic learning of fuzzy rules based on low quality data
    • L. Sánchez, I. Couso, and J. Casillas Genetic learning of fuzzy rules based on low quality data Fuzzy Sets and Systems 160 17 2009 2524 2552
    • (2009) Fuzzy Sets and Systems , vol.160 , Issue.17 , pp. 2524-2552
    • Sánchez, L.1    Couso, I.2    Casillas, J.3
  • 66
    • 34548230003 scopus 로고    scopus 로고
    • Advocating the use of imprecisely observed data in genetic fuzzy systems
    • DOI 10.1109/TFUZZ.2007.895942
    • L. Sánchez, and I. Couso Advocating the use of imprecisely observed data in genetic fuzzy systems IEEE Trans. Fuzzy Syst. 15 4 2007 551 562 (Pubitemid 47316709)
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.4 , pp. 551-562
    • Sanchez, L.1    Couso, I.2
  • 67
    • 67349153943 scopus 로고    scopus 로고
    • Learning from imprecise examples with GA-P algorithms
    • L. Sánchez, and I. Couso Learning from imprecise examples with GA-P algorithms Mathw. Soft Comput. 2-3 5 1998 305 319
    • (1998) Mathw. Soft Comput. , vol.2-3 , Issue.5 , pp. 305-319
    • Sánchez, L.1    Couso, I.2
  • 68
    • 55549103698 scopus 로고    scopus 로고
    • Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms
    • L. Sánchez, J. Otero, and I. Couso Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms Soft Comput. 13 3 2009 307 318
    • (2009) Soft Comput. , vol.13 , Issue.3 , pp. 307-318
    • Sánchez, L.1    Otero, J.2    Couso, I.3
  • 69
    • 0031141157 scopus 로고    scopus 로고
    • The normative representation of quantified beliefs by belief functions
    • PII S0004370296000549
    • P. Smets The normative representation of quantified beliefs by belief functions Artificial Intelligence 92 1997 229 242 (Pubitemid 127414144)
    • (1997) Artificial Intelligence , vol.92 , Issue.1-2 , pp. 229-242
    • Smets, P.1
  • 71
    • 70349097188 scopus 로고    scopus 로고
    • A new family of metrics for compact, convex (fuzzy) sets based on a generalized concept of mid and spread
    • W. Trutschnig, G. González-Rodríguez, A. Colubi, and M.A. Gil A new family of metrics for compact, convex (fuzzy) sets based on a generalized concept of mid and spread Inform. Sci. 179 2009 3964 3972
    • (2009) Inform. Sci. , vol.179 , pp. 3964-3972
    • Trutschnig, W.1    González-Rodríguez, G.2    Colubi, A.3    Gil, M.A.4
  • 72
    • 84891694298 scopus 로고    scopus 로고
    • SAFD - An R package for statistical analysis of fuzzy data in towards advanced data analysis by combining soft computing and statistics
    • C. Borgelt, Springer
    • W. Trutschnig, M.A. Lubiano, and J. Lastra SAFD - An R package for statistical analysis of fuzzy data in towards advanced data analysis by combining soft computing and statistics C. Borgelt, Studies in Fuzziness and Soft Computing, vol. 285 2013 Springer 107 118
    • (2013) Studies in Fuzziness and Soft Computing, Vol. 285 , pp. 107-118
    • Trutschnig, W.1    Lubiano, M.A.2    Lastra, J.3
  • 74
    • 0023294625 scopus 로고
    • Set-based representations of conjunctive and disjunctive knowledge
    • R.R. Yager Set-based representations of conjunctive and disjunctive knowledge Inform. Sci. 41 1987 1 22
    • (1987) Inform. Sci. , vol.41 , pp. 1-22
    • Yager, R.R.1
  • 75
    • 0025434842 scopus 로고
    • Generalizing the Dempster-Shafer theory to fuzzy sets
    • J. Yen Generalizing the Dempster-Shafer theory to fuzzy sets IEEE Trans. Syst. Man Cybern. 20 1990 559 569
    • (1990) IEEE Trans. Syst. Man Cybern. , vol.20 , pp. 559-569
    • Yen, J.1
  • 76
    • 0016458950 scopus 로고
    • The concept of a linguistic variable and its application to approximate reasoning, Part i
    • L.A. Zadeh The concept of a linguistic variable and its application to approximate reasoning, Part I Inform. Sci. 8 1975 199 249
    • (1975) Inform. Sci. , vol.8 , pp. 199-249
    • Zadeh, L.A.1
  • 77
    • 49349133217 scopus 로고
    • Fuzzy sets as a basis for a theory of possibility
    • L.A. Zadeh Fuzzy sets as a basis for a theory of possibility Fuzzy Sets and Systems 1 1978 1 28
    • (1978) Fuzzy Sets and Systems , vol.1 , pp. 1-28
    • Zadeh, L.A.1
  • 78
    • 0017985349 scopus 로고
    • PRUF - A meaning representation language for natural languages
    • L.A. Zadeh PRUF - a meaning representation language for natural languages Int. J. Man-Mach. Stud. 10 1978 395 460 (Pubitemid 9423101) Raras
    • (1978) Int J Man Mach Stud , vol.10 , Issue.4 , pp. 395-460
    • Zadeh, L.A.1


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