Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Jonathan Lawry
2010 – today
- 2013
[j33]S. Royston, Jonathan Lawry, K. Horsburgh: A linguistic decision tree approach to predicting storm surge. Fuzzy Sets and Systems 215: 90-111 (2013)- [c30]
- [c29]
- [c28]
- 2012
- [j32]Jonathan Lawry, Yongchuan Tang: On truth-gaps, bipolar belief and the assertability of vague propositions. Artif. Intell. 191-192: 20-41 (2012)
- [j31]Van-Nam Huynh, Jonathan Lawry, Yoshiteru Nakamori: Integrated uncertainty management for decision making. Annals OR 195(1): 1-4 (2012)
- [j30]Yongchuan Tang, Jonathan Lawry: Information cells and information cell mixture models for concept modelling. Annals OR 195(1): 311-323 (2012)
- [j29]Yongchuan Tang, Jonathan Lawry: A bipolar model of vague concepts based on random set and prototype theory. Int. J. Approx. Reasoning 53(6): 867-879 (2012)
- [c27]
- [c26]Jonathan Lawry, Didier Dubois: A Bipolar Framework for Combining Beliefs about Vague Propositions. KR 2012
- 2011
- [j28]Zengchang Qin, Jonathan Lawry: Prediction and query evaluation using linguistic decision trees. Appl. Soft Comput. 11(5): 3916-3928 (2011)
- [j27]Jonathan Lawry, Inés González Rodríguez: A bipolar model of assertability and belief. Int. J. Approx. Reasoning 52(1): 76-91 (2011)
- [c25]Yongchuan Tang, Jonathan Lawry: Bipolar Semantic Cells: An Interval Model for Linguistic Labels. IUKM 2011: 60-71
- [e5]Yongchuan Tang, Van-Nam Huynh, Jonathan Lawry (Eds.): Integrated Uncertainty in Knowledge Modelling and Decision Making - International Symposium, IUKM 2011, Hangzhou, China, October 28-30, 2011. Proceedings. Lecture Notes in Computer Science 7027, Springer 2011, ISBN 978-3-642-24917-4
- 2010
- [j26]Jerry M. Mendel, Lotfi A. Zadeh, Enric Trillas, Ronald R. Yager, Jonathan Lawry, Hani Hagras, Sergio Guadarrama: What Computing with Words Means to Me [Discussion Forum]. IEEE Comp. Int. Mag. 5(1): 20-26 (2010)
- [j25]Yongchuan Tang, Jonathan Lawry: A prototype-based rule inference system incorporating linear functions. Fuzzy Sets and Systems 161(21): 2831-2853 (2010)
- [j24]Jerry M. Mendel, Jonathan Lawry, Lotfi A. Zadeh: Foreword to the Special Section on Computing With Words. IEEE T. Fuzzy Systems 18(3): 437-440 (2010)
- [j23]Jonathan Lawry, Yongchuan Tang: Granular Knowledge Representation and Inference Using Labels and Label Expressions. IEEE T. Fuzzy Systems 18(3): 500-514 (2010)
- [c24]Jonathan Lawry: A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets. IPMU (1) 2010: 618-628
- [c23]Jonathan Lawry: Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. SUM 2010: 205-218
2000 – 2009
- 2009
- [j22]Jonathan Lawry, Yongchuan Tang: Uncertainty modelling for vague concepts: A prototype theory approach. Artif. Intell. 173(18): 1539-1558 (2009)
- [j21]Yongchuan Tang, Jonathan Lawry: Linguistic modelling and information coarsening based on prototype theory and label semantics. Int. J. Approx. Reasoning 50(8): 1177-1198 (2009)
- [c22]Jonathan Lawry, Inés González Rodríguez: Generalised Label Semantics as a Model of Epistemic Vagueness. ECSQARU 2009: 626-637
- [c21]Hongmei He, Jonathan Lawry: A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. IJCNN 2009: 1177-1183
- [e4]Yongchuan Tang, Jonathan Lawry (Eds.): 2009 Second International Symposium on Computational Intelligence and Design, ISCID 2009, Changsha, Hunan, China, 12-14 December 2009, 2 Volumes. IEEE Computer Society 2009, ISBN 978-0-7695-3865-5
- 2008
- [j20]Zengchang Qin, Jonathan Lawry: LFOIL: Linguistic rule induction in the label semantics framework. Fuzzy Sets and Systems 159(4): 435-448 (2008)
- [j19]Jonathan Lawry, Hongmei He: Multi-Attribute Decision Making Based on Label Semantics. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16(Supplement-2): 69-86 (2008)
- [j18]Jonathan Lawry: Appropriateness measures: an uncertainty model for vague concepts. Synthese 161(2): 255-269 (2008)
- [j17]Van-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry: A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making. IEEE T. Fuzzy Systems 16(2): 371-387 (2008)
- [j16]Nicholas J. Randon, Jonathan Lawry, K. Horsburgh, Ian D. Cluckie: Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of Britain. IEEE T. Fuzzy Systems 16(3): 725-738 (2008)
- [c20]Hongmei He, Jonathan Lawry: Linguistic attribute hierarchies for downwards propagation of information. FUZZ-IEEE 2008: 655-661
- [c19]Daniel R. McCulloch, Jonathan Lawry, Ian D. Cluckie: Real-time flood forecasting using updateable linguistic decision trees. FUZZ-IEEE 2008: 1935-1942
- [c18]
- [c17]Jonathan Lawry, Inés González Rodríguez: Non-parametric Density Estimation Based on Label Semantics. SMPS 2008: 183-189
- [p3]Jonathan Lawry: Label Semantics as a Framework for Granular Modelling. Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 87-102
- [p2]Jonathan Lawry: An Overview of Computing with Words using Label Semantics. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 65-87
- [p1]Zengchang Qin, Jonathan Lawry: Knowledge Discovery in a Framework for Modelling with Words. Soft Computing for Knowledge Discovery and Data Mining 2008: 241-276
- [e3]Van-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen (Eds.): Interval / Probabilistic Uncertainty and Non-Classical Logics. Advances in Soft Computing 46, Springer 2008, ISBN 978-3-540-77663-5
- 2007
- [c16]Jonathan Lawry, Hongmei He: Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making. FUZZ-IEEE 2007: 1-6
- [c15]Daniel R. McCulloch, Jonathan Lawry, Miguel A. Rico-Ramirez, Ian D. Cluckie: Classification of Weather Radar Images using Linguistic Decision Trees with Conditional Labelling. FUZZ-IEEE 2007: 1-6
- [c14]Zengchang Qin, Jonathan Lawry: Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. IFSA (1) 2007: 407-416
- 2006
- [b1]Jonathan Lawry: Modelling and Reasoning with Vague Concepts. Studies in Computational Intelligence 12, Springer 2006, ISBN 978-0-387-29056-0
- [j15]Nicholas J. Randon, Jonathan Lawry: Classification and query evaluation using modelling with words. Inf. Sci. 176(4): 438-464 (2006)
- [c13]
- [c12]Viet Ha-Thuc, Quang-Anh Nguyen-Van, Tru Hoang Cao, Jonathan Lawry: A Fuzzy Synset-Based Hidden Markov Model for Automatic Text Segmentation. SMPS 2006: 365-372
- [c11]Nicholas J. Randon, Jonathan Lawry, Ian D. Cluckie: Online Learning for Fuzzy Bayesian Prediction. SMPS 2006: 405-412
- [e2]Jonathan Lawry, Enrique Miranda, Alberto Bugarín, Shoumei Li, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz (Eds.): Soft Methods for Integrated Uncertainty Modelling, Proceedings of the 2006 International Workshop on Soft Methods in Probability and Statistics, SMPS 2006, Bristol, UK, 5-7 September 2006. Advances in Soft Computing 37, Springer 2006, ISBN 978-3-540-34776-7
- 2005
- [j14]Zengchang Qin, Jonathan Lawry: Decision tree learning with fuzzy labels. Inf. Sci. 172(1-2): 91-129 (2005)
- [c10]Zengchang Qin, Jonathan Lawry: Hybrid Bayesian Estimation Trees Based on Label Semantics. ECSQARU 2005: 896-907
- [c9]Jonathan Lawry, Jim W. Hall, Guangtao Fu: A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios. ISIPTA 2005: 223-221
- 2004
- [j13]
- [j12]Jonathan Lawry, Jim W. Hall, R. Bovey: Fusion of expert and learnt knowledge in a framework of fuzzy labels. Int. J. Approx. Reasoning 36(2): 151-198 (2004)
- [j11]Inés González Rodríguez, Jonathan Lawry, James F. Baldwin: Induction And Fusion Of Fuzzy Prototypes. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12(4): 409-446 (2004)
- [j10]Jim W. Hall, Jonathan Lawry: Generation, combination and extension of random set approximations to coherent lower and upper probabilities. Rel. Eng. & Sys. Safety 85(1-3): 89-101 (2004)
- 2003
- [j9]Nicholas J. Randon, Jonathan Lawry: Probabilistic and fuzzy methods for information fusion in data mining. Int. J. Intell. Syst. 18(6): 609-631 (2003)
- [j8]Jordi Recasens, Jonathan Lawry: Normalizing Possibility Distributions Using t-Norms. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(3): 343-360 (2003)
- [c8]
- [c7]Nicholas J. Randon, Jonathan Lawry: Fuzzy models for prediction based on random set semantics. EUSFLAT Conf. 2003: 659-664
- [c6]Inés González Rodríguez, Jonathan Lawry, James F. Baldwin: An Iterative Fuzzy Prototype Induction Algorithm. IWANN (1) 2003: 286-293
- [c5]Jonathan Lawry: Random Sets and Appropriateness Degrees for Modelling with Labels. Modelling with Words 2003: 186-208
- [e1]Jonathan Lawry, James G. Shanahan, Anca L. Ralescu (Eds.): Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework. Lecture Notes in Computer Science 2873, Springer 2003, ISBN 3-540-20487-3
- 2001
- [j7]Jonathan Lawry: A methodology for computing with words. Int. J. Approx. Reasoning 28(2-3): 51-89 (2001)
- [j6]Jonathan Lawry: Possibilistic Normalisation and Reasoning Under Partial Inconsistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(4): 413-436 (2001)
- [j5]Jonathan Lawry: An Alternative Approach to Computing with Words. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(Supplement): 3-16 (2001)
- [c4]
- [c3]
- [c2]Jim W. Hall, Jonathan Lawry: Imprecise Probabilities of Engineering System Failure from Random and Fuzzy Set Reliability Analysis. ISIPTA 2001: 195-204
- 2000
- [j4]James F. Baldwin, Jonathan Lawry: A New Approach to Learning Linguistic Control Rules. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(1): 21-44 (2000)
1990 – 1999
- 1998
- [j3]Jonathan Lawry: A voting mechanism for fuzzy logic. Int. J. Approx. Reasoning 19(3-4): 315-333 (1998)
- [j2]James F. Baldwin, Jonathan Lawry, Trevor P. Martin: The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge Discovery. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(5): 459-488 (1998)
- 1997
- [j1]Jonathan Lawry: An inductive method for inexact reasoning. Int. J. Approx. Reasoning 16(2): 205-221 (1997)
- 1992
- [c1]Jonathan Lawry, George M. Wilmers: An Axiomatic Approach to Systems of Prior Distributions in Inexact Reasoning. Logic at Work 1992: 81-89
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-10-02 11:17 CEST by the dblp team