The paper studies the relationship among fuzzy context free languages and fuzzy push down automata. The degree of membership of the words to the fuzzy language generated by a context free grammar, calculated in a monoid, introduces an additional burden for the accepting push down weighted automaton. Even in the case of languages accepted by fuzzy deterministic push down automata, the relationsh...

A significant data mining issue is the effective discovery of association rules. The extraction of association rules faces the problem of the combinatorial explosion of the search space, and the loss of information by the discretizat ion of values. The first problem is confronted effectively by the Frequent Pattern Tree approach of [10 ]. This approach avoids the candidate generation phase of A...

considering convergent product as an important manufacturing technology for digital products, we integrate functions and sub-functions using a comprehensive fuzzy mathematical optimization process. to form the convergent product, a web-based fuzzy network is considered in which a collection of base functions and sub-functions configure the nodes and each arc in the network is to be a link betwe...

Fuzzy Decision Trees (FDT’s) are one of the most popular choices for learning and reasoning from dataset. They have undergone a number of alterations to language and measurement uncertainties. However, they are poor in classification accuracy. In this paper, Neuro -fuzzy decision tree ( a fuzzy decision tree structure with neural like parameter adaptation strategy) improves FDT’s classification...

The diversity of medical factors makes the analysis and judgment of uncertainty one of the challenges of medical diagnosis. A well-designed classification and judgment system for medical uncertainty can increase the rate of correct medical diagnosis. In this paper, a new multidimensional classifier is proposed by using an intelligent algorithm, which is the general fuzzy cerebellar model neural...

The domains of partial attributed tree transducers (patt's) are the tree languages recognized by tree walking automata in universal acceptance mode. Moreover, the domains of patt's having monadic output are the tree languages recognized by deter-ministic tree walking automata.

The terminal nodes of a binary tree classifier represent discrete classes to be recognized. In this paper the classes are considered to be fuzzy sets in which a specific sample can belong to more than one class with different degrees of membership. The terminal nodes is this case will contain information about the degrees to which test samples belong to particular classes. This will allow the d...

Multidimensional data streams are a major paradigm in data science. This work focuses on possibilistic clustering algorithms as means to perform clustering of multidimensional streaming data. The proposed approach exploits fuzzy outlier analysis to provide good learning and tracking abilities in both concept shift and concept drift.

Trees are among the most fundamental and ubiquitous structures in mathematics. Tree languages and automata on trees have been studied extensively since the 1960s from both a purely mathematical and application point of view. When trees are defined as terms, universal algebra becomes directly applicable to tree automata and, on the other hand, the theory of tree automata suggests new notions and...

A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources distributed over different platforms in real-time. The controller must be able to make decisions based on rules provided by experts. The fuzzy logic approach allows the direct incorporation of expertise. Genetic algorithm based optimization is conducted to determine the form of the membershi...