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Jonathan Lawry: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jonathan Lawry
    Label Semantics: A Formal Framework for Modeling with Words. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2001, pp:374-384 [Conf]
  2. Jonathan Lawry, Jordi Recasens
    A Random set Model for Fuzzy Labels. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2003, pp:357-369 [Conf]
  3. Zengchang Qin, Jonathan Lawry
    Hybrid Bayesian Estimation Trees Based on Label Semantics. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2005, pp:896-907 [Conf]
  4. Jonathan Lawry
    Query Evaluation from Linguistic Prototypes. [Citation Graph (0, 0)][DBLP]
    FUZZ-IEEE, 2001, pp:39-42 [Conf]
  5. Jim Hall, Jonathan Lawry
    Imprecise Probabilities of Engineering System Failure from Random and Fuzzy Set Reliability Analysis. [Citation Graph (0, 0)][DBLP]
    ISIPTA, 2001, pp:195-204 [Conf]
  6. Jonathan Lawry, Jim Hall, Guangtao Fu
    A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios. [Citation Graph (0, 0)][DBLP]
    ISIPTA, 2005, pp:223-221 [Conf]
  7. Inés González Rodríguez, Jonathan Lawry, James F. Baldwin
    An Iterative Fuzzy Prototype Induction Algorithm. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:286-293 [Conf]
  8. Jonathan Lawry, George M. Wilmers
    An Axiomatic Approach to Systems of Prior Distributions in Inexact Reasoning. [Citation Graph (0, 0)][DBLP]
    Logic at Work, 1992, pp:81-89 [Conf]
  9. Jonathan Lawry
    Random Sets and Appropriateness Degrees for Modelling with Labels. [Citation Graph (0, 0)][DBLP]
    Modelling with Words, 2003, pp:186-208 [Conf]
  10. Jonathan Lawry
    A framework for linguistic modelling. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2004, v:155, n:1-2, pp:1-39 [Journal]
  11. Jonathan Lawry
    A methodology for computing with words. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2001, v:28, n:2-3, pp:51-89 [Journal]
  12. Jonathan Lawry
    An inductive method for inexact reasoning. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1997, v:16, n:2, pp:205-221 [Journal]
  13. Jonathan Lawry
    A voting mechanism for fuzzy logic. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1998, v:19, n:3-4, pp:315-333 [Journal]
  14. Jonathan Lawry, J. W. Hall, R. Bovey
    Fusion of expert and learnt knowledge in a framework of fuzzy labels. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2004, v:36, n:2, pp:151-198 [Journal]
  15. Nicholas J. Randon, Jonathan Lawry
    Probabilistic and fuzzy methods for information fusion in data mining. [Citation Graph (0, 0)][DBLP]
    Int. J. Intell. Syst., 2003, v:18, n:6, pp:609-631 [Journal]
  16. James F. Baldwin, Jonathan Lawry
    A New Approach to Learning Linguistic Control Rules. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:1, pp:21-44 [Journal]
  17. James F. Baldwin, Jonathan Lawry, Trevor P. Martin
    The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge Discovery. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998, v:6, n:5, pp:459-488 [Journal]
  18. Jonathan Lawry
    An Alternative Approach to Computing with Words. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:Supplement, pp:3-16 [Journal]
  19. Jonathan Lawry
    Possibilistic Normalisation and Reasoning Under Partial Inconsistency. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:4, pp:413-436 [Journal]
  20. Inés González Rodríguez, Jonathan Lawry, James F. Baldwin
    Induction And Fusion Of Fuzzy Prototypes. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004, v:12, n:4, pp:409-446 [Journal]
  21. Jordi Recasens, Jonathan Lawry
    Normalizing Possibility Distributions Using t-Norms. [Citation Graph (0, 0)][DBLP]
    International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2003, v:11, n:3, pp:343-360 [Journal]
  22. Zengchang Qin, Jonathan Lawry
    Decision tree learning with fuzzy labels. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2005, v:172, n:1-2, pp:91-129 [Journal]
  23. Nicholas J. Randon, Jonathan Lawry
    Classification and query evaluation using modelling with words. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2006, v:176, n:4, pp:438-464 [Journal]
  24. Zengchang Qin, Jonathan Lawry
    Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. [Citation Graph (0, 0)][DBLP]
    IFSA, 2007, pp:407-416 [Conf]

  25. Generalised Label Semantics as a Model of Epistemic Vagueness. [Citation Graph (, )][DBLP]


  26. Classification of Weather Radar Images using Linguistic Decision Trees with Conditional Labelling. [Citation Graph (, )][DBLP]


  27. Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making. [Citation Graph (, )][DBLP]


  28. A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets. [Citation Graph (, )][DBLP]


  29. Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. [Citation Graph (, )][DBLP]


  30. Fuzzy models for prediction based on random set semantics. [Citation Graph (, )][DBLP]


  31. Non-parametric Density Estimation Based on Label Semantics. [Citation Graph (, )][DBLP]


  32. Relating Prototype Theory and Label Semantics. [Citation Graph (, )][DBLP]


  33. Online Learning for Fuzzy Bayesian Prediction. [Citation Graph (, )][DBLP]


  34. A Fuzzy Synset-Based Hidden Markov Model for Automatic Text Segmentation. [Citation Graph (, )][DBLP]


  35. High Level Fuzzy Labels for Vague Concepts. [Citation Graph (, )][DBLP]


  36. Uncertainty modelling for vague concepts: A prototype theory approach. [Citation Graph (, )][DBLP]


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