منابع مشابه
Mixed fuzzy rule formation
Many fuzzy rule induction algorithms have been proposed during the past decade or so. Most of these algorithms tend to scale badly with large dimensions of the feature space and in addition have trouble dealing with different feature types or noisy data. In this paper, an algorithm is proposed that extracts a set of so called mixed fuzzy rules. These rules can be extracted from feature spaces w...
متن کاملInfluence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation"
In Mixed Fuzzy Rule Formation [Int. J. Approx. Reason. 32 (2003) 67] a method to extract mixed fuzzy rules from data was introduced. The underlying algorithm’s performance is influenced by the choice of fuzzy t-norm and t-conorm, and a heuristic to avoid conflicts between patterns and rules of different classes throughout training. In the following addendum to [Int. J. Approx. Reason. 32 (2003)...
متن کاملFormation of Hierarchical Fuzzy Rule Systems
Many fuzzy rule induction algorithms have been proposed in the past. Most of them tend to generate too many rules tbJring the learning process. This is due to data sets obtained from real world systems containing distorted elements or noisy data. Most approaches try to completely ignore outliers, which can be potentially hannful since the exmnple may describe a rare but still extremely interest...
متن کاملRule-based joint fuzzy and probabilistic networks
One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...
متن کاملCorrigendum to: Influence of fuzzy norms and other heuristics on "Mixed fuzzy rule formation" [Int. J. Approx. Reasoning 35 (2004) 195-202]
hereby correct an error in Ref. [2], in which we studied the influence of various parameters that affect the generalization performance of fuzzy models constructed using the mixed fuzzy rule formation method [1]. On page 196, the last equation that computes the normalized loss in volume V
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2003
ISSN: 0888-613X
DOI: 10.1016/s0888-613x(02)00077-4