Jonathan Lawry - researchr alias

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2011

A bipolar model of assertability and beliefJonathan Lawry, Inés González Rodríguez. ijar, 52(1):76-91, 2011. [doi]

Prediction and query evaluation using linguistic decision treesZengchang Qin, Jonathan Lawry. asc, 11(5):3916-3928, 2011. [doi]

2010

A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy SetsJonathan Lawry. ipmu 2010: 618-628 [doi]

Granular Knowledge Representation and Inference Using Labels and Label ExpressionsJonathan Lawry, Yongchuan Tang. tfs, 18(3):500-514, 2010. [doi]

Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent DialoguesJonathan Lawry. sum 2010: 205-218 [doi]

What Computing with Words Means to Me [Discussion Forum]Jerry M. Mendel, Lotfi A. Zadeh, Enric Trillas, Ronald R. Yager, Jonathan Lawry, Hani Hagras, Sergio Guadarrama. cim, 5(1):20-26, 2010. [doi]

Foreword to the Special Section on Computing With WordsJerry M. Mendel, Jonathan Lawry, Lotfi A. Zadeh. tfs, 18(3):437-440, 2010. [doi]

A prototype-based rule inference system incorporating linear functionsYongchuan Tang, Jonathan Lawry. fss, 161(21):2831-2853, 2010. [doi]

2009

2008

Interval / Probabilistic Uncertainty and Non-Classical LogicsVan-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen, editors, Volume 46 of Advances in Soft Computing, Springer, 2008.

A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision MakingVan-Nam Huynh, Yoshiteru Nakamori, Jonathan Lawry. tfs, 16(2):371-387, 2008. [doi]

Appropriateness measures: an uncertainty model for vague conceptsJonathan Lawry. synthese, 161(2):255-269, 2008. [doi]

Relating Prototype Theory and Label SemanticsJonathan Lawry, Yongchuan Tang. SMP 2008: 35-42 [doi]

An Overview of Computing with Words using Label SemanticsJonathan Lawry. In Humberto Bustince Sola, Francisco Herrera, Javier Montero, editors, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Volume 220 of Studies in Fuzziness and Soft Computing, pages 65-87, Springer, 2008. [doi]

Label Semantics as a Framework for Granular ModellingJonathan Lawry. In Van-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen, editors, Interval / Probabilistic Uncertainty and Non-Classical Logics. Volume 46 of Advances in Soft Computing, pages 87-102, Springer, 2008. [doi]

Non-parametric Density Estimation Based on Label SemanticsJonathan Lawry, Inés González Rodríguez. SMP 2008: 183-189 [doi]

Multi-Attribute Decision Making Based on Label SemanticsJonathan Lawry, Hongmei He. ijufks, 16(Supplement-2):69-86, 2008. [doi]

LFOIL: Linguistic rule induction in the label semantics frameworkZengchang Qin, Jonathan Lawry. fss, 159(4):435-448, 2008. [doi]

Knowledge Discovery in a Framework for Modelling with WordsZengchang Qin, Jonathan Lawry. In Oded Maimon, Lior Rokach, editors, Soft Computing for Knowledge Discovery and Data Mining. pages 241-276, Springer, 2008. [doi]

Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of BritainNicholas J. Randon, Jonathan Lawry, K. Horsburgh, Ian D. Cluckie. tfs, 16(3):725-738, 2008. [doi]

2007

Linguistic Attribute Hierarchies for Multiple-Attribute Decision MakingJonathan Lawry, Hongmei He. fuzzIEEE 2007: 1-6 [doi]

Classification of Weather Radar Images using Linguistic Decision Trees with Conditional LabellingDaniel R. McCulloch, Jonathan Lawry, Miguel A. Rico-Ramirez, Ian D. Cluckie. fuzzIEEE 2007: 1-6 [doi]

Fuzziness and Performance: An Empirical Study with Linguistic Decision TreesZengchang Qin, Jonathan Lawry. ifsa 2007: 407-416 [doi]

2006

A Fuzzy Synset-Based Hidden Markov Model for Automatic Text SegmentationViet Ha-Thuc, Quang-Anh Nguyen-Van, Tru Hoang Cao, Jonathan Lawry. SMP 2006: 365-372 [doi]

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 2006Jonathan Lawry, Enrique Miranda, Alberto Bugarín, Shoumei Li, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors, Volume 37 of Advances in Soft Computing, Springer, 2006.

Modelling and Reasoning with Vague ConceptsJonathan Lawry. Volume 12 of Studies in Computational Intelligence, Springer, 2006.

High Level Fuzzy Labels for Vague ConceptsZengchang Qin, Jonathan Lawry. SMP 2006: 317-324 [doi]

Online Learning for Fuzzy Bayesian PredictionNicholas J. Randon, Jonathan Lawry, Ian D. Cluckie. SMP 2006: 405-412 [doi]

Classification and query evaluation using modelling with wordsNicholas J. Randon, Jonathan Lawry. isci, 176(4):438-464, 2006. [doi]

2005

A Granular Semantics for Fuzzy Measures and its Application to Climate Change ScenariosJonathan Lawry, Jim Hall, Guangtao Fu. isipta 2005: 223-221

Decision tree learning with fuzzy labelsZengchang Qin, Jonathan Lawry. isci, 172(1-2):91-129, 2005. [doi]

Hybrid Bayesian Estimation Trees Based on Label SemanticsZengchang Qin, Jonathan Lawry. ecsqaru 2005: 896-907 [doi]

2004

Fusion of expert and learnt knowledge in a framework of fuzzy labelsJonathan Lawry, J. W. Hall, R. Bovey. ijar, 36(2):151-198, 2004. [doi]

A framework for linguistic modellingJonathan Lawry. ai, 155(1-2):1-39, 2004. [doi]

Induction And Fusion Of Fuzzy PrototypesInés González Rodríguez, Jonathan Lawry, James F. Baldwin. ijufks, 12(4):409-446, 2004. [doi]

2003

Modelling with Words - Learning, Fusion, and Reasoning within a Formal Linguistic Representation FrameworkJonathan Lawry, James G. Shanahan, Anca L. Ralescu, editors, Volume 2873 of Lecture Notes in Computer Science, Springer, 2003.

Random Sets and Appropriateness Degrees for Modelling with LabelsJonathan Lawry. mww 2003: 186-208 [doi]

A Random set Model for Fuzzy LabelsJonathan Lawry, Jordi Recasens. ecsqaru 2003: 357-369 [doi]

Fuzzy models for prediction based on random set semanticsNicholas J. Randon, Jonathan Lawry. eusflat 2003: 659-664 [doi]

Probabilistic and fuzzy methods for information fusion in data miningNicholas J. Randon, Jonathan Lawry. ijis, 18(6):609-631, 2003. [doi]

Normalizing Possibility Distributions Using t-NormsJordi Recasens, Jonathan Lawry. ijufks, 11(3):343-360, 2003. [doi]

An Iterative Fuzzy Prototype Induction AlgorithmInés González Rodríguez, Jonathan Lawry, James F. Baldwin. iwann 2003: 286-293 [doi]

2001

2000

A New Approach to Learning Linguistic Control RulesJames F. Baldwin, Jonathan Lawry. ijufks, 8(1):21-44, 2000. [doi]

1998

The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge DiscoveryJames F. Baldwin, Jonathan Lawry, Trevor P. Martin. ijufks, 6(5):459-488, 1998. [doi]

A voting mechanism for fuzzy logicJonathan Lawry. ijar, 19(3-4):315-333, 1998. [doi]

1997

An inductive method for inexact reasoningJonathan Lawry. ijar, 16(2):205-221, 1997. [doi]

1992

An Axiomatic Approach to Systems of Prior Distributions in Inexact ReasoningJonathan Lawry, George M. Wilmers. law 1994: 81-89