An Algorithm for Stereotype Deduction in UML-Based Formalism and its Application in Geographic Information Systems
نویسندگان
چکیده
Stereotypes provide a mechanism for extending the vocabulary of the UML. Present UML-based formalisms for Geographic Information System use the concept of visual stereotypes in order to represent geographic types. This paper extends the expressiveness of stereotypes currently defined for geographic types and describes an algorithm for the computation of visual stereotypes resulting from aggregation operations.
منابع مشابه
A multi agent method for cell formation with uncertain situation, based on information theory
This paper assumes the cell formation problem as a distributed decision network. It proposes an approach based on application and extension of information theory concepts, in order to analyze informational complexity in an agent- based system, due to interdependence between agents. Based on this approach, new quantitative concepts and definitions are proposed in order to measure the amount of t...
متن کاملA general approach to linguistic approximation and its application in frame of fuzzy logic deduction
This paper deals with one problem that needs to be addressed in the emerging field known under the name computing with perceptions. It is the problem of describing, approximately, a given fuzzy set in natural language. This problem has lately been referred to as the problem of retranslation. An approaches to dealing with the retranslation problem is discussed in the paper, that ...
متن کاملOnline Fault Detection and Isolation Method Based on Belief Rule Base for Industrial Gas Turbines
Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...
متن کاملImproving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...
متن کاملSemantics of Stereotypes for Type Specification in UML: Theory and Practice
In the context of object-oriented formalism, stereotypes are presented as a new means for user-defined extensions of the Unified Modeling Language (UML). Unfortunately, the stereotypes syntax and semantics vary depending on the proposed extensions and it is not easy to propose a complete formalization of this mechanism. This is the reason why this paper tries to identify and formalize a pertine...
متن کامل