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The purpose of this paper is to give a possible model for handling uncertain information. This model is worked out in the framework of DATALOG. At first the concept of fuzzy Datalog will be summarized, then its extensions for intuitionistic- and interval-valued fuzzy logic is given and the concept of bipolar fuzzy Datalog is introduced. Based on these ideas the concept of multivalued knowledge-base...
The purpose of this paper is to study the axiomatic approaches of rough set approximation operators in fuzzy formal contexts. We first define four types of fuzzy conceptual knowledge system, and then the axiomatic characterization for rough approximations operators is presented. The axioms that must be satisfied by the operators are stated.
Knowledge spaces represent a framework for assessment of knowledge for which solid theoretical foundations, methodology, software tools and numerous practical applications are available. The underlying assumption in knowledge spaces is that a knowledge state of an individual is represented by a set of items/questions which the individual has mastered/is capable of answering. In this paper, we propose...
Uninorms are an important generalization of triangular norms and conorms, having a neutral element lying any where in the unit interval. In this paper, we discuss the residual coimplications of left and right uninorms and study some basic properties of the residual coimplications of infinitely distributive left (right) uninorms and pseudo-uninorms.
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