Approximate reasoning with fuzzy rule interpolation: background and recent advances
Approximate reasoning systems facilitate fuzzy inference through activating fuzzy if–then
rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) …
rules in which attribute values are imprecisely described. Fuzzy rule interpolation (FRI) …
Fuzzy interpolation and extrapolation: A practical approach
Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also
makes inference in sparse rule-based systems possible. It has been successfully applied to …
makes inference in sparse rule-based systems possible. It has been successfully applied to …
Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques
SM Chen, YC Chang - Information sciences, 2010 - Elsevier
In this paper, we present a new method for multi-variable fuzzy forecasting based on fuzzy
clustering and fuzzy rule interpolation techniques. First, the proposed method constructs …
clustering and fuzzy rule interpolation techniques. First, the proposed method constructs …
Weighted fuzzy interpolative reasoning based on weighted increment transformation and weighted ratio transformation techniques
SM Chen, YK Ko, YC Chang… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
In this paper, we present a new weighted fuzzy interpolative reasoning method for sparse
fuzzy rule-based systems. The proposed method uses weighted increment transformation …
fuzzy rule-based systems. The proposed method uses weighted increment transformation …
Generalized adaptive fuzzy rule interpolation
As a substantial extension to fuzzy rule interpolation that works based on two neighboring
rules flanking an observation, adaptive fuzzy rule interpolation is able to restore system …
rules flanking an observation, adaptive fuzzy rule interpolation is able to restore system …
Fuzzy rules interpolation for sparse fuzzy rule-based systems based on interval type-2 Gaussian fuzzy sets and genetic algorithms
In this paper, we present a new method for fuzzy rules interpolation for sparse fuzzy rule-
based systems based on interval type-2 Gaussian fuzzy sets and genetic algorithms. First …
based systems based on interval type-2 Gaussian fuzzy sets and genetic algorithms. First …
Fuzzy interpolative reasoning for sparse fuzzy-rule-based systems based on the areas of fuzzy sets
Fuzzy interpolative reasoning is an inference technique for dealing with the sparse rules
problem in sparse fuzzy-rule-based systems. In this paper, we present a new fuzzy …
problem in sparse fuzzy-rule-based systems. In this paper, we present a new fuzzy …
Weighted fuzzy rule interpolation based on GA-based weight-learning techniques
SM Chen, YC Chang - IEEE Transactions on Fuzzy Systems, 2011 - ieeexplore.ieee.org
In this paper, we propose a weighted fuzzy interpolative reasoning method for sparse fuzzy
rule-based systems. It is based on a genetic algorithm (GA)-based weight-learning …
rule-based systems. It is based on a genetic algorithm (GA)-based weight-learning …
Adaptive fuzzy interpolation
Fuzzy interpolative reasoning strengthens the power of fuzzy inference by the enhancement
of the robustness of fuzzy systems and the reduction of the systems' complexity. However …
of the robustness of fuzzy systems and the reduction of the systems' complexity. However …
Signatures: Definitions, operators and applications to fuzzy modelling
This paper presents a new framework for the symbolic representation of data which is
referred to as signatures. The definitions of signatures and of signature trees are first given …
referred to as signatures. The definitions of signatures and of signature trees are first given …