The Vague Query System (VQS) due to Kiing and Palkoska is an add-on to relational databases which is able to suggest alternative query results in case that an exact query fails. This is accomplished by taking numeric distances into account and, consequently, works only for queries with vague equality conditions. In this paper, we present a concept for extending VQS such that queries with vague ...

Vague graphs (VGs), belonging to the fuzzy (FGs) family, have good capabilities when faced with problems that cannot be expressed by FGs. The notion of a VG is new mathematical attitude model ambiguity and uncertainty in decision-making issues. A vague graph structure (VFGS) generalization VG. It powerful useful tool find influential person various relations. VFGSs can deal associated inconsist...

Fuzzy extension of Description Logics (DLs) allows the formal representation and handling of fuzzy or vague knowledge. In this paper, we consider the problem of reasoning with fuzzy-EL, which is a fuzzy extension of EL+. We first identify the challenges and present revised completion classification rules for fuzzy-EL that can be handled by MapReduce programs. We then propose an algorithm for sc...

-Fuzzy ontologies are able to deal with imprecise and vague knowledge using fuzzy sets and its relations. Ontologies are currently emerging as a powerful knowledge representation technique on the semantic web. However, it doesn’t have an ability to represent the fuzzy information as well as the uncertainty. This survey aims at giving a brief and comprehensible overview of the research direction...

Fuzzy Description Logics (f-DLs) are extensions of classic DLs that are capable of representing and reasoning about imprecise and vague knowledge. Though reasoning algorithms for very expressive fuzzy DLs have been explored, an open issue in the fuzzy DL community is the study of tractable systems. In this paper we introduce the fuzzy extension of EL, we provide its syntax and semantics togethe...

Different models for computing the spatial relations have been developed in the last decade. Separate methods are used for computing topological, directional and distance relations. These models have also been extended in fuzzy domains based on fuzzy or vague objects and less attention has been paid to fuzzy relations. In this paper 8 fuzzy topological relations are computed with the help of 1D...

Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated e...

Uncertainty, like imprecision and vagueness, has gained considerable attention the last decade. To this extend we present a preliminary report on extending the Rule Markup Language (RuleML) with fuzzy set theory, in order to be able to represent and handle vague knowledge. We also provide semantics for the case of fuzzy FOL RuleML.