Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
Four methods of approximate reasoning with interval-valued fuzzy sets
International Journal of Approximate Reasoning
Applications of type-2 fuzzy logic systems to forecasting of time-series
Information Sciences—Informatics and Computer Science: An International Journal
Theory of Self-Reproducing Automata
Theory of Self-Reproducing Automata
Is there a need for fuzzy logic?
Information Sciences: an International Journal
ENC '08 Proceedings of the 2008 Mexican International Conference on Computer Science
A type-2 fuzzy rule-based expert system model for stock price analysis
Expert Systems with Applications: An International Journal
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks
Information Sciences: an International Journal
Toward a generalized theory of uncertainty (GTU)--an outline
Information Sciences: an International Journal
Type-2 Fuzzy Logic: A Historical View
IEEE Computational Intelligence Magazine
The sampling method of defuzzification for type-2 fuzzy sets: Experimental evaluation
Information Sciences: an International Journal
Nondeterministic fuzzy automata
Information Sciences: an International Journal
Type-2 neuro-fuzzy modeling for a batch biotechnological process
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
A complex social system simulation using type-2 fuzzy logic and multiagent system
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review
Information Sciences: an International Journal
Predictable type-2 fuzzy mobile units for energy balancing in wireless sensor networks
Information Sciences: an International Journal
A closed form type reduction method for piecewise linear interval type-2 fuzzy sets
International Journal of Approximate Reasoning
Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling
Information Sciences: an International Journal
International Journal of Hybrid Intelligent Systems
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In this paper an age-structured population growth model, based on a fuzzy cellular structure, is proposed. An age-structured population growth model enables a better description of population dynamics. In this paper, the dynamics of a particular bird species is considered. The dynamics is governed by the variation of natality, mortality and emigration rates, which in this work are evaluated using an interval type-2 fuzzy logic system. The use of type-2 fuzzy logic enables handling the effects caused by environment heterogeneity on the population. A set of fuzzy rules, about population growth, are derived from the interpretation of the ecological laws and the bird life cycle. The proposed model is formulated using discrete mathematics within the framework of a fuzzy cellular structure. The fuzzy cellular structure allows us to visualize the evolution of the population's spatial dynamics. The spatial distribution of the population has a deep effect on its dynamics. Moreover, the model enables not only to estimate the percentage of occupation on the cellular space when the species reaches its stable equilibrium level, but also to observe the occupation patterns.