A fuzzy expert system shell using both exact and inexact reasoning
Journal of Automated Reasoning
Fuzzy Sets and Systems
Fuzzy complex analysis I: differentiation
Fuzzy Sets and Systems
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Fuzzy limit theory of fuzzy complex numbers
Fuzzy Sets and Systems
Fuzzy complex analysis II: integration
Fuzzy Sets and Systems
Measures of uncertainty in expert systems
Artificial Intelligence
Some remarks for fuzzy complex analysis
Fuzzy Sets and Systems
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalized Lebesgue integrals of fuzzy complex valued functions
Fuzzy Sets and Systems - Mathematics
The Knowledge Engineering Review
Computing with words and its relationships with fuzzistics
Information Sciences: an International Journal
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
The theoretical fundamentals of learning theory based on fuzzy complex random samples
Fuzzy Sets and Systems
Journal of Artificial Intelligence Research
A behavioural model for vague probability assessments
Fuzzy Sets and Systems
A novel framework of fuzzy complex numbers and its application to compositional modelling
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
EVIDENCE DIRECTED GENERATION OF PLAUSIBLE CRIME SCENARIOS WITH IDENTITY RESOLUTION
Applied Artificial Intelligence
Disclosing false identity through hybrid link analysis
Artificial Intelligence and Law
IEEE Transactions on Fuzzy Systems
A fuzzy knowledge-based system for intelligent retrieval
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
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Automated modeling refers to automatic (re-) formulation of alternative system models that embody the simplification, abstraction, and approximation of knowledge and data for a given task. This technique is highly desirable for effective problem solving in many application domains. Over the past two decades, compositional modeling (CM) has established itself as a leading approach in automated modeling. CM is a framework to construct system models by composing generic and reusable model fragments (MFs) selected from a knowledge base. However, the existing work mainly concerns the knowledge and data that are represented by crisp and precise information. Little work has been carried out to explore its potential to deal with uncertain environments. This paper presents an innovative framework of fuzzy compositional modeling (FCM) to develop such work. The proposed approach is capable of representing and reasoning with a wide range of inexact information. An innovative notion of fuzzy complex numbers (FCNs) is developed in an effort to enable synthesis of consistent scenario descriptions from imprecise MFs. This paper also introduces the modulus of FCNs to constrain the resulting scenario descriptions. The usefulness of this study is illustrated by means of an example to construct possible scenario descriptions from given evidence, which is in support of crime investigation.