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In the covering information system with decision-making (CISD), τ-lower and upper approximation operators are introduced, and some corresponding properties are discussed. This paper also explores reductions of a covering which is based on a new concept of the degree of approximate dependency, and proposes a reduction algorithm based on the importance degree. After reduction, a decision tree is generated...
By incorporating domination principle in inconsistent decision systems based on dominance relations, we define the concept of distribution function for a decision system to directly reflect the inconsistent degree of this system. A new type of distribution reduction and maximum distribution reduction are correspondingly introduced. The relationships between these two reductions are discussed, and...
This paper presents a PSO-based method for learning similarity measure of nominal features for case based reasoning classifiers (i.e. CBR classifiers). The symbolic features considered here takes completely unordered values. It has been indicated in that in specific classification task, the similarities between these nominal feature values can not be simply considered as either 0 or 1. A GA-based...
Classification algorithm is a kind of important technology in data mining, and the most commonly used is decision tree learning. In the process of constructing a decision tree, the selecting criteria of splitting attributes will directly affect the classification results. And the attribute selection of the traditional decision tree algorithm is based on information theory. In this paper, by combining...
In this paper, we mainly study the relationship between IF rough approximation operators and IF topological spaces. First, we discuss IF topologies generated by IF approximation space and IF approximation space generated by IF topologies. Then we discuss the relationship between IF topologies generated by IF approximation space and IF approximation space generated by IF topologies. Finally, we study...
Multi-agent systems (MAS) have emerged as an active sub field of artificial intelligence. Robotic soccer is a typical multi-agent systems, wherein the challenge is to develop and hone the skills of the agents that take part in the game. This paper proposes an interception strategy based on rough sets with dominance relation, in which the methods of knowledge reduction and rule extraction are investigated...
The attribute reduction of information system can improve the accuracy of knowledge discovery, machine learning, etc. and it also can improve the efficiency. This paper proposes an attribute testing reduction algorithm, the algorithm can make the information system retain as few as attributes under the condition that maintains the original style, it can not only save much time for the later system...
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