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This paper examines the potential of fuzzy cognitive mapping (FCM) as a tool to disentangle the underlying reasons of this persistent problem.
In this paper, I will disentangle, from a theoretical point of view, the potential of fuzzy set theory for mapping landscape patterns, particularly focusing on those properties of the fuzzy membership concept which are crucial when aiming at extracting the whole information over a landscape.
In this work, we explore the potential of fuzzy cognitive map to assist in the modeling of meningitis, as a support tool for physicians in the accurate diagnosis and treatment of the condition.
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A potential drawback of fuzzy logic models is the rapid growth of the rule table when many inputs are involved.
Numerical examples have illustrated the effectiveness, superiority and potential of a fuzzy logic approach in the adaptive boundary element method.
The aim of this article is to investigate the potential of a fuzzy system with a Mamdami inference engine, considering different numbers of membership functions.
This study investigates potential of neuro-fuzzy strategy in prognostication of draft parameters of primary tillage implement.
The potential of neuro-fuzzy technique is compared with Generalized Regression Neural Networks (GRNN), Radial Basis Function Neural Networks (RBFNN) and Multi-layer Perceptron (MLP) and also two different sediment rating curves (SRC).
We also argue that the potential of applying fuzzy-based techniques to microarray data analysis need to be further explored.
Results and the potential of Rule-Based Fuzzy Cognitive Maps to predict fisher's behaviour are discussed.
In this paper we explore the potential of a self-organizing fuzzy neural network (SOFNN) as a core component of a cognitive system for a smart home environment.
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