| 2008 |
|---|
| 44 | | Van-Nam Huynh,
Yoshiteru Nakamori,
Hiroakira Ono,
Jonathan Lawry,
Vladik Kreinovich,
Hung T. Nguyen:
Interval / Probabilistic Uncertainty and Non-Classical Logics
Springer 2008 |
| 43 | EE | Jonathan Lawry,
Inés González Rodríguez:
Non-parametric Density Estimation Based on Label Semantics.
SMPS 2008: 183-189 |
| 42 | EE | Jonathan Lawry,
Yongchuan Tang:
Relating Prototype Theory and Label Semantics.
SMPS 2008: 35-42 |
| 41 | EE | Jonathan Lawry:
An Overview of Computing with Words using Label Semantics.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 65-87 |
| 40 | EE | Jonathan Lawry:
Label Semantics as a Framework for Granular Modelling.
Interval / Probabilistic Uncertainty and Non-Classical Logics 2008: 87-102 |
| 39 | EE | Zengchang Qin,
Jonathan Lawry:
Knowledge Discovery in a Framework for Modelling with Words.
Soft Computing for Knowledge Discovery and Data Mining 2008: 241-276 |
| 38 | EE | Zengchang Qin,
Jonathan Lawry:
LFOIL: Linguistic rule induction in the label semantics framework.
Fuzzy Sets and Systems 159(4): 435-448 (2008) |
| 37 | EE | 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) |
| 36 | EE | 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) |
| 35 | EE | 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) |
| 34 | EE | Jonathan Lawry:
Appropriateness measures: an uncertainty model for vague concepts.
Synthese 161(2): 255-269 (2008) |
| 2007 |
|---|
| 33 | EE | 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 |
| 32 | EE | Jonathan Lawry,
Hongmei He:
Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making.
FUZZ-IEEE 2007: 1-6 |
| 31 | EE | Zengchang Qin,
Jonathan Lawry:
Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees.
IFSA (1) 2007: 407-416 |
| 2006 |
|---|
| 30 | | Jonathan Lawry:
Modelling and Reasoning with Vague Concepts
Springer 2006 |
| 29 | | Jonathan Lawry,
Enrique Miranda,
Alberto Bugarín,
Shoumei Li,
María Angeles Gil,
Przemyslaw Grzegorzewski,
Olgierd Hryniewicz:
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
Springer 2006 |
| 28 | EE | Zengchang Qin,
Jonathan Lawry:
High Level Fuzzy Labels for Vague Concepts.
SMPS 2006: 317-324 |
| 27 | EE | 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 |
| 26 | EE | Nicholas J. Randon,
Jonathan Lawry,
Ian D. Cluckie:
Online Learning for Fuzzy Bayesian Prediction.
SMPS 2006: 405-412 |
| 25 | EE | Nicholas J. Randon,
Jonathan Lawry:
Classification and query evaluation using modelling with words.
Inf. Sci. 176(4): 438-464 (2006) |
| 2005 |
|---|
| 24 | EE | Zengchang Qin,
Jonathan Lawry:
Hybrid Bayesian Estimation Trees Based on Label Semantics.
ECSQARU 2005: 896-907 |
| 23 | | Jonathan Lawry,
Jim Hall,
Guangtao Fu:
A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios.
ISIPTA 2005: 223-221 |
| 22 | EE | Zengchang Qin,
Jonathan Lawry:
Decision tree learning with fuzzy labels.
Inf. Sci. 172(1-2): 91-129 (2005) |
| 2004 |
|---|
| 21 | EE | Jonathan Lawry:
A framework for linguistic modelling.
Artif. Intell. 155(1-2): 1-39 (2004) |
| 20 | EE | Jonathan Lawry,
J. 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) |
| 19 | EE | 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) |
| 2003 |
|---|
| 18 | | Jonathan Lawry,
James G. Shanahan,
Anca L. Ralescu:
Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation Framework
Springer 2003 |
| 17 | EE | Jonathan Lawry,
Jordi Recasens:
A Random set Model for Fuzzy Labels.
ECSQARU 2003: 357-369 |
| 16 | EE | Nicholas J. Randon,
Jonathan Lawry:
Fuzzy models for prediction based on random set semantics.
EUSFLAT Conf. 2003: 659-664 |
| 15 | EE | Inés González Rodríguez,
Jonathan Lawry,
James F. Baldwin:
An Iterative Fuzzy Prototype Induction Algorithm.
IWANN (1) 2003: 286-293 |
| 14 | EE | Jonathan Lawry:
Random Sets and Appropriateness Degrees for Modelling with Labels.
Modelling with Words 2003: 186-208 |
| 13 | EE | Nicholas J. Randon,
Jonathan Lawry:
Probabilistic and fuzzy methods for information fusion in data mining.
Int. J. Intell. Syst. 18(6): 609-631 (2003) |
| 12 | EE | Jordi Recasens,
Jonathan Lawry:
Normalizing Possibility Distributions Using t-Norms.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 11(3): 343-360 (2003) |
| 2001 |
|---|
| 11 | EE | Jonathan Lawry:
Label Semantics: A Formal Framework for Modeling with Words.
ECSQARU 2001: 374-384 |
| 10 | | Jonathan Lawry:
Query Evaluation from Linguistic Prototypes.
FUZZ-IEEE 2001: 39-42 |
| 9 | EE | Jim Hall,
Jonathan Lawry:
Imprecise Probabilities of Engineering System Failure from Random and Fuzzy Set Reliability Analysis.
ISIPTA 2001: 195-204 |
| 8 | EE | Jonathan Lawry:
A methodology for computing with words.
Int. J. Approx. Reasoning 28(2-3): 51-89 (2001) |
| 7 | EE | Jonathan Lawry:
Possibilistic Normalisation and Reasoning Under Partial Inconsistency.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(4): 413-436 (2001) |
| 6 | | Jonathan Lawry:
An Alternative Approach to Computing with Words.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9(Supplement): 3-16 (2001) |
| 2000 |
|---|
| 5 | EE | 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) |
| 1998 |
|---|
| 4 | EE | Jonathan Lawry:
A voting mechanism for fuzzy logic.
Int. J. Approx. Reasoning 19(3-4): 315-333 (1998) |
| 3 | EE | 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 |
|---|
| 2 | EE | Jonathan Lawry:
An inductive method for inexact reasoning.
Int. J. Approx. Reasoning 16(2): 205-221 (1997) |
| 1992 |
|---|
| 1 | | Jonathan Lawry,
George M. Wilmers:
An Axiomatic Approach to Systems of Prior Distributions in Inexact Reasoning.
Logic at Work 1992: 81-89 |
