New geometric inference techniques for type-2 fuzzy sets
International Journal of Approximate Reasoning
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
On constructing parsimonious type-2 fuzzy logic systems via influential rule selection
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Advanced fuzzy inference engines in situation aware computing
Fuzzy Sets and Systems
Reducing the effort in the creation of new patients using the virtual simulated patient framework
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
α-plane representation for type-2 fuzzy sets: theory and applications
IEEE Transactions on Fuzzy Systems
Thematic issue on contribution of Artificial Intelligence to Ambient Intelligence
Journal of Ambient Intelligence and Smart Environments
Type-2 fuzzy logic controllers: a way forward for fuzzy systems in real world environments
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Hierarchical type-2 neuro-fuzzy BSP model
Information Sciences: an International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
An adaptive rule-based approach for managing situation-awareness
Expert Systems with Applications: An International Journal
Emerging and adaptive fuzzy logic based behaviours in activity sphere centred ambient ecologies
Pervasive and Mobile Computing
Thematic issue on contribution of Artificial Intelligence to Ambient Intelligence
Journal of Ambient Intelligence and Smart Environments
New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model
Information Sciences: an International Journal
Personal and Ubiquitous Computing
Overview of Type-2 Fuzzy Logic Systems
International Journal of Fuzzy System Applications
A new type-2 fuzzy set of linguistic variables for the fuzzy analytic hierarchy process
Expert Systems with Applications: An International Journal
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In this paper, we present a novel type-2 fuzzy systems based adaptive architecture for agents embedded in ambient intelligent environments (AIEs). Type-2 fuzzy systems are able to handle the different sources of uncertainty and imprecision encountered in AIEs to give a very good response. The presented agent architecture uses a one pass method to learn in a nonintrusive manner the user's particular behaviors and preferences for controlling the AIE. The agent learns the user's behavior by learning his particular rules and interval type-2 Membership Functions (MFs), these rules and MFs can then be adapted online incrementally in a lifelong learning mode to suit the changing environmental conditions and user preferences. We will show that the type-2 agents generated by our one pass learning technique outperforms those generated by genetic algorithms (GAs). We will present unique experiments carried out by different users over the course of the year in the Essex Intelligent Dormitory (iDorm), which is a real AIE test bed. We will show how the type-2 agents learnt and adapted to the occupant's behavior whilst handling the encountered short term and long term uncertainties to give a very good performance that outperformed the type-1 agents while using smaller rule bases