An Axiomatic Approach to Systems of Prior Distributions in Inexact Reasoning. - Jonathan Lawry; George M. Wilmers (Logic at Work, 1992)

A mass assignment theory of the probability of fuzzy events. - Jim F. Baldwin; Jonathan Lawry; Trevor P. Martin (Fuzzy Sets Syst., 1996)

An inductive method for inexact reasoning. - Jonathan Lawry (Int. J. Approx. Reason., 1997)

A mass assignment based ID3 algorithm for decision tree induction. - James F. Baldwin; Jonathan Lawry; Trevor P. Martin (Int. J. Intell. Syst., 1997)

A note on the conditional probability of fuzzy subsets of a continuous domain. - James F. Baldwin; Jonathan Lawry; Trevor P. Martin (Fuzzy Sets Syst., 1998)

A voting mechanism for fuzzy logic. - Jonathan Lawry (Int. J. Approx. Reason., 1998)

The Application of Generalised Fuzzy Rules to Machine Learning and Automated Knowledge Discovery. - James F. Baldwin; Jonathan Lawry; Trevor P. Martin (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1998)

A mass assignment method for prototype induction. - Jim F. Baldwin; Jonathan Lawry; Trevor P. Martin (Int. J. Intell. Syst., 1999)

A c-fuzzy means algorithm for prototype induction. - Jim F. Baldwin; Jonathan Lawry (FUZZ-IEEE, 2000)

A New Approach to Learning Linguistic Control Rules. - James F. Baldwin; Jonathan Lawry (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000)

Label Semantics: A Formal Framework for Modeling with Words. - Jonathan Lawry (ECSQARU, 2001)

Query Evaluation from Linguistic Prototypes. - Jonathan Lawry (FUZZ-IEEE, 2001)

Imprecise Probabilities of Engineering System Failure from Random and Fuzzy Set Reliability Analysis. - Jim W. Hall; Jonathan Lawry (ISIPTA, 2001)

A methodology for computing with words. - Jonathan Lawry (Int. J. Approx. Reason., 2001)

An Alternative Approach to Computing with Words. - Jonathan Lawry (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

Possibilistic Normalisation and Reasoning Under Partial Inconsistency. - Jonathan Lawry (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001)

A Random set Model for Fuzzy Labels. - Jonathan Lawry; Jordi Recasens (ECSQARU, 2003)

Fuzzy models for prediction based on random set semantics. - Nicholas J. Randon; Jonathan Lawry (EUSFLAT Conf., 2003)

An Iterative Fuzzy Prototype Induction Algorithm. - Inés González Rodríguez; Jonathan Lawry; James F. Baldwin (IWANN (1), 2003)

Random Sets and Appropriateness Degrees for Modelling with Labels. - Jonathan Lawry (Modelling with Words, 2003)

Probabilistic and fuzzy methods for information fusion in data mining. - Nicholas J. Randon; Jonathan Lawry (Int. J. Intell. Syst., 2003)

Normalizing Possibility Distributions Using t-Norms. - Jordi Recasens; Jonathan Lawry (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003)

A framework for linguistic modelling. - Jonathan Lawry (Artif. Intell., 2004)

Fusion of expert and learnt knowledge in a framework of fuzzy labels. - Jonathan Lawry; Jim W. Hall; R. Bovey (Int. J. Approx. Reason., 2004)

Induction And Fusion Of Fuzzy Prototypes. - Inés González Rodríguez; Jonathan Lawry; James F. Baldwin (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004)

Generation, combination and extension of random set approximations to coherent lower and upper probabilities. - Jim W. Hall; Jonathan Lawry (Reliab. Eng. Syst. Saf., 2004)

Hybrid Bayesian Estimation Trees Based on Label Semantics. - Zengchang Qin; Jonathan Lawry (ECSQARU, 2005)

A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios. - Jonathan Lawry; Jim W. Hall; Guangtao Fu (ISIPTA, 2005)

Decision tree learning with fuzzy labels. - Zengchang Qin; Jonathan Lawry (Inf. Sci., 2005)

Fuzzy Decision Tree Cloning of Flight Trajectory Optimisation for Rapid Path Planning. - Oliver Turnbull; Arthur Richards; Jonathan Lawry; Mark H. Lowenberg (CDC, 2006)

A Fuzzy Synset-Based Hidden Markov Model for Automatic Text Segmentation. - Viet Ha-Thuc; Quang-Anh Nguyen-Van; Tru Hoang Cao; Jonathan Lawry (SMPS, 2006)

High Level Fuzzy Labels for Vague Concepts. - Zengchang Qin; Jonathan Lawry (SMPS, 2006)

Online Learning for Fuzzy Bayesian Prediction. - Nicholas J. Randon; Jonathan Lawry; Ian D. Cluckie (SMPS, 2006)

Classification and query evaluation using modelling with words. - Nicholas J. Randon; Jonathan Lawry (Inf. Sci., 2006)

Modelling and Reasoning with Vague Concepts - Jonathan Lawry (Springer, 2006)

Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making. - Jonathan Lawry; Hongmei He (FUZZ-IEEE, 2007)

Classification of Weather Radar Images using Linguistic Decision Trees with Conditional Labelling. - Daniel R. McCulloch; Jonathan Lawry; Miguel A. Rico-Ramirez; Ian D. Cluckie (FUZZ-IEEE, 2007)

Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees. - Zengchang Qin; Jonathan Lawry (IFSA (1), 2007)

Linguistic attribute hierarchies for downwards propagation of information. - Hongmei He; Jonathan Lawry (FUZZ-IEEE, 2008)

Real-time flood forecasting using updateable linguistic decision trees. - Daniel R. McCulloch; Jonathan Lawry; Ian D. Cluckie (FUZZ-IEEE, 2008)

Non-parametric Density Estimation Based on Label Semantics. - Jonathan Lawry; Inés González Rodríguez (SMPS, 2008)

Relating Prototype Theory and Label Semantics. - Jonathan Lawry; Yongchuan Tang (SMPS, 2008)

LFOIL: Linguistic rule induction in the label semantics framework. - Zengchang Qin; Jonathan Lawry (Fuzzy Sets Syst., 2008)

Multi-Attribute Decision Making Based on Label Semantics. - Jonathan Lawry; Hongmei He (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

Appropriateness measures: an uncertainty model for vague concepts. - Jonathan Lawry (Synth., 2008)

A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making. - Van-Nam Huynh; Yoshiteru Nakamori; Jonathan Lawry (IEEE Trans. Fuzzy Syst., 2008)

Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of Britain. - Nicholas J. Randon; Jonathan Lawry; K. Horsburgh; Ian D. Cluckie (IEEE Trans. Fuzzy Syst., 2008)

Label Semantics as a Framework for Granular Modelling. - Jonathan Lawry (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

An Overview of Computing with Words using Label Semantics. - Jonathan Lawry (Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008)

Knowledge Discovery in a Framework for Modelling with Words. - Zengchang Qin; Jonathan Lawry (Soft Computing for Knowledge Discovery and Data Mining, 2008)

A Random Set and Prototype Theory Model of Linguistic Query Evaluation. - Jonathan Lawry; Yongchuan Tang (Scalable Fuzzy Algorithms for Data Management and Analysis, 2009)

Generalised Label Semantics as a Model of Epistemic Vagueness. - Jonathan Lawry; Inés González Rodríguez (ECSQARU, 2009)

A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. - Hongmei He; Jonathan Lawry (IJCNN, 2009)

Uncertainty modelling for vague concepts: A prototype theory approach. - Jonathan Lawry; Yongchuan Tang (Artif. Intell., 2009)

Linguistic modelling and information coarsening based on prototype theory and label semantics. - Yongchuan Tang; Jonathan Lawry (Int. J. Approx. Reason., 2009)

A Random Set and Prototype Theory Interpretation of Intuitionistic Fuzzy Sets. - Jonathan Lawry (IPMU (1), 2010)

Information Cell Mixture Models: The Cognitive Representations of Vague Concepts. - Yongchuan Tang; Jonathan Lawry (IUM, 2010)

Linguistic Decision Trees for Fusing Tidal Surge Forecasting Models. - Jonathan Lawry; Hongmei He (SMPS, 2010)

Imprecise Bipolar Belief Measures Based on Partial Knowledge from Agent Dialogues. - Jonathan Lawry (SUM, 2010)

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 (IEEE Comput. Intell. Mag., 2010)

A prototype-based rule inference system incorporating linear functions. - Yongchuan Tang; Jonathan Lawry (Fuzzy Sets Syst., 2010)

Granular Knowledge Representation and Inference Using Labels and Label Expressions. - Jonathan Lawry; Yongchuan Tang (IEEE Trans. Fuzzy Syst., 2010)

Foreword to the Special Section on Computing With Words. - Jerry M. Mendel; Jonathan Lawry; Lotfi A. Zadeh (IEEE Trans. Fuzzy Syst., 2010)

Bipolar Semantic Cells: An Interval Model for Linguistic Labels. - Yongchuan Tang; Jonathan Lawry (IUKM, 2011)

Prediction and query evaluation using linguistic decision trees. - Zengchang Qin; Jonathan Lawry (Appl. Soft Comput., 2011)

A bipolar model of assertability and belief. - Jonathan Lawry; Inés González Rodríguez (Int. J. Approx. Reason., 2011)

Possibilistic Rules from Fuzzy Prototypes. - Guanyi Li; Jonathan Lawry (IPMU (2), 2012)

A Bipolar Framework for Combining Beliefs about Vague Propositions. - Jonathan Lawry; Didier Dubois (KR, 2012)

On truth-gaps, bipolar belief and the assertability of vague propositions. - Jonathan Lawry; Yongchuan Tang (Artif. Intell., 2012)

Integrated uncertainty management for decision making. - Van-Nam Huynh; Jonathan Lawry; Yoshiteru Nakamori (Ann. Oper. Res., 2012)

Information cells and information cell mixture models for concept modelling. - Yongchuan Tang; Jonathan Lawry (Ann. Oper. Res., 2012)

A bipolar model of vague concepts based on random set and prototype theory. - Yongchuan Tang; Jonathan Lawry (Int. J. Approx. Reason., 2012)

Flexible Concepts Are Fuzzy Concepts. - Jonathan Lawry (On Fuzziness (1), 2013)

Conditional Beliefs in a Bipolar Framework. - Jonathan Lawry; Trevor Martin (ECSQARU, 2013)

Concept Generation in Language Evolution. - Martha Anne Flinders Lewis; Jonathan Lawry (IJCAI, 2013)

A Random Set and Rule-Based Regression Model Incorporating Image Labels. - Guanyi Li; Jonathan Lawry (IUKM, 2013)

A linguistic decision tree approach to predicting storm surge. - Samantha Royston; Jonathan Lawry; K. Horsburgh (Fuzzy Sets Syst., 2013)

Language games with vague categories and negations. - Henrietta Eyre; Jonathan Lawry (Adapt. Behav., 2014)

Borderline vs. unknown: comparing three-valued representations of imperfect information. - Davide Ciucci; Didier Dubois; Jonathan Lawry (Int. J. Approx. Reason., 2014)

Probability, fuzziness and borderline cases. - Jonathan Lawry (Int. J. Approx. Reason., 2014)

A label semantics approach to linguistic hedges. - Martha Anne Flinders Lewis; Jonathan Lawry (Int. J. Approx. Reason., 2014)

The linguistic attribute hierarchy and its optimisation for classification. - Hongmei He; Jonathan Lawry (Soft Comput., 2014)

On truth-gaps, truth-gluts, and bipolar propositions. - Yongchuan Tang; Jonathan Lawry (Int. J. Approx. Reason., 2015)

A Dempster-Shafer model of imprecise assertion strategies. - Henrietta Eyre; Jonathan Lawry (J. Appl. Log., 2015)

A model of multi-agent consensus for vague and uncertain beliefs. - Michael Crosscombe; Jonathan Lawry (Adapt. Behav., 2016)

Hierarchical conceptual spaces for concept combination. - Martha Lewis; Jonathan Lawry (Artif. Intell., 2016)

Exploiting Vagueness for Multi-Agent Consensus. - Michael Crosscombe; Jonathan Lawry (CoRR, 2016)

The Utility of Hedged Assertions in the Emergence of Shared Categorical Labels. - Martha Anne Flinders Lewis; Jonathan Lawry (CoRR, 2016)

Emerging Dimension Weights in a Conceptual Spaces Model of Concept Combination. - Martha Lewis; Jonathan Lawry (CoRR, 2016)

Towards the Specification of Adaptive Robotic Systems. - Jeremy Morse; Dejanira Araiza-Illan; Jonathan Lawry; Kerstin Eder (CoRR, 2016)

A formal approach to analysing requirements conformance in adaptive systems. - Jeremy Morse; Dejanira Araiza-Illan; Jonathan Lawry; Arthur Richards; Kerstin Eder (CoRR, 2016)

A cloned linguistic decision tree controller for real-time path planning in hostile environments. - Oliver Turnbull; Jonathan Lawry; Mark H. Lowenberg; Arthur Richards (Fuzzy Sets Syst., 2016)

Borderlines and probabilities of borderlines: On the interconnection between vagueness and uncertainty. - Jonathan Lawry (J. Appl. Log., 2016)

A fuzzy approach to qualification in design exploration for autonomous robots and systems. - Jeremy Morse; Dejanira Araiza-Illan; Kerstin Eder; Jonathan Lawry; Arthur Richards (FUZZ-IEEE, 2017)

Robust distributed decision-making in robot swarms: Exploiting a third truth state. - Michael Crosscombe; Jonathan Lawry; Sabine Hauert; Martin E. Homer (IROS, 2017)

Negative Updating Combined with Opinion Pooling in the Best-of-n Problem in Swarm Robotics. - Chanelle Lee; Jonathan Lawry; Alan F. T. Winfield (ANTS Conference, 2018)

Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus. - Chanelle Lee; Jonathan Lawry; Alan F. T. Winfield (IJCAI, 2018)

Dual Consensus Measure for Multi-perspective Multi-criteria Group Decision Making. - Iván Palomares; Michael Crosscombe; Zhen-Song Chen 002; Jonathan Lawry (SMC, 2018)

Evidence Propagation and Consensus Formation in Noisy Environments. - Michael Crosscombe; Jonathan Lawry (AAMAS, 2019)

Epistemic Sets Applied to Best-of-n Problems. - Jonathan Lawry; Michael Crosscombe; David Harvey (ECSQARU, 2019)

Three Valued Representation of Opinions in Affective Design. - Jonathan Lawry; Van-Nam Huynh; Chris A. McMahon (IUKM, 2019)

Evidence Propagation and Consensus Formation in Noisy Environments. - Michael Crosscombe; Jonathan Lawry; Palina Bartashevich (SUM, 2019)

Modelling Agent Policies with Interpretable Imitation Learning. - Tom Bewley; Jonathan Lawry; Arthur Richards (TAILOR, 2020)

Probability pooling for dependent agents in collective learning. - Jonathan Lawry; Chanelle Lee (Artif. Intell., 2020)

Distributed Possibilistic Learning in Multi-Agent Systems. - Jonathan Lawry; Michael Crosscombe; David Harvey (CoRR, 2020)

Claim Consistency Checking Using Soft Logic. - Nouf Bindris; Nello Cristianini; Jonathan Lawry (Mach. Learn. Knowl. Extr., 2020)

TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. - Tom Bewley; Jonathan Lawry (AAAI, 2021)

The Impact of Network Connectivity on Collective Learning. - Michael Crosscombe; Jonathan Lawry (DARS, 2021)

Imprecise Fusion Operators for Collective Learning. - Zixuan Liu; Michael Crosscombe; Jonathan Lawry (ALIFE, 2021)

Demonstrating the Differential Impact of Flock Heterogeneity on Multi-agent Herding. - Chris Bennett; Seth Bullock; Jonathan Lawry (TAROS, 2021)

FeelMusic: Enriching Our Emotive Experience of Music through Audio-Tactile Mappings. - Alice Haynes; Jonathan Lawry; Christopher Kent; Jonathan Rossiter (Multimodal Technol. Interact., 2021)

Collective preference learning in the best-of-n problem. - Michael Crosscombe; Jonathan Lawry (Swarm Intell., 2021)

Negative updating applied to the best-of-n problem with noisy qualities. - Chanelle Lee; Jonathan Lawry; Alan F. T. Winfield (Swarm Intell., 2021)

The Benefits of Interaction Constraints in Distributed Autonomous Systems. - Michael Crosscombe; Jonathan Lawry (DARS, 2022)

Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection. - Nawid Keshtmand; Raúl Santos-Rodríguez; Jonathan Lawry (ICPR Workshops (1), 2022)

Summarising and Comparing Agent Dynamics with Contrastive Spatiotemporal Abstraction. - Tom Bewley; Jonathan Lawry; Arthur Richards (CoRR, 2022)

Reward Learning with Trees: Methods and Evaluation. - Tom Bewley; Jonathan Lawry; Arthur Richards; Rachel Craddock; Ian Henderson (CoRR, 2022)

Two-step counterfactual generation for OOD examples. - Nawid Keshtmand; Raúl Santos-Rodríguez; Jonathan Lawry (CoRR, 2023)

Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback. - Tom Bewley; Jonathan Lawry; Arthur Richards (CoRR, 2023)

Typicality-based point OOD detection with contrastive learning. - Nawid Keshtmand; Raúl Santos-Rodríguez; Jonathan Lawry (NLDL, 2024)

Collective Anomaly Perception During Multi-Robot Patrol: Constrained Interactions Can Promote Accurate Consensus. - Zachary R. Madin; Jonathan Lawry; Edmund R. Hunt (SAC, 2024)

Heterogeneous Thresholds, Social Ranking, and the Emergence of Vague Categories. - Jonathan Lawry (Artif. Life, 2024)

Imprecise evidence in social learning. - Zixuan Liu; Michael Crosscombe; Jonathan Lawry (Swarm Intell., 2025)

Shapley Machine: A Game-Theoretic Framework for N-Agent Ad Hoc Teamwork. - Jianhong Wang; Yang Li 116; Samuel Kaski; Jonathan Lawry (CoRR, 2025)