Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Qualitative probability and order of magnitude reasoning
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
The Knowledge Engineering Review
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches
IEEE Transactions on Knowledge and Data Engineering
Link-based similarity measures for the classification of Web documents
Journal of the American Society for Information Science and Technology
On models, modelling and the distinctive nature of model-based reasoning
AI Communications
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Linguistic probabilities: theory and application
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Uncertainty Analysis and Decision Making; Guest Editors: Yan-Kui Liu, Baoding Liu, Jinwu Gao
Exploring the boundary region of tolerance rough sets for feature selection
Pattern Recognition
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction
IEEE Transactions on Knowledge and Data Engineering
Comprehensive analysis of a new fuzzy rule interpolation method
IEEE Transactions on Fuzzy Systems
From approximative to descriptive fuzzy classifiers
IEEE Transactions on Fuzzy Systems
A generalized concept for fuzzy rule interpolation
IEEE Transactions on Fuzzy Systems
Fuzzy interpolative reasoning via scale and move transformations
IEEE Transactions on Fuzzy Systems
Fuzzy-Rough Sets Assisted Attribute Selection
IEEE Transactions on Fuzzy Systems
Attributes Reduction Using Fuzzy Rough Sets
IEEE Transactions on Fuzzy Systems
Modeling Random Fuzzy Renewal Reward Processes
IEEE Transactions on Fuzzy Systems
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Both fuzzy set theory and rough set theory play an important role in data-driven, systems modelling and analysis. They have been successfully applied to building various intelligent decision support systems (amongst many others). This paper presents an integrated utilisation of some recent advances in these theories for detection and prevention of serious crime (e.g. terrorism). It is shown that the use of these advanced theories offers an effective means for the generation and assessment of plausible scenarios which can each provide an explanation for the given intelligence data. The resulting systems have the potential to facilitate rapid response in devising and deploying preventive measures. The paper also suggests a number of important further challenges in consolidating and refining such systems.