This ability in fuzzy UML, practically leaves the customers and market’s need without response in this important and vital area. Here, the available sequence diagrams in fuzzy UML will map into fuzzy Petri net. However, the formal models ability will be added to the Semi-formal fuzzy UML. This formalization will add the automatic processing ability to the Semi-formal fuzzy UML. Further more, t...

this ability in fuzzy uml, practically leaves the customers and market’s need without response in this important and vital area. here, the available sequence diagrams in fuzzy uml will map into fuzzy petri net. however, the formal models ability will be added to the semi-formal fuzzy uml. this formalization will add the automatic processing ability to the semi-formal fuzzy uml. further more, ...

uml is known as one of the most common methods in software engineering.since this language is semi-formal, many researches and efforts have beenperformed to transform this language into formal methods including petri nets.thus, the operation of verification and validation of the qualitative and nonfunctionalparameters could be achieved with more ability. since the majority of thereal world info...

UML is known as one of the most common methods in software engineering. Since this language is semi-formal, many researches and efforts have been performed to transform this language into formal methods including Petri nets. Thus, the operation of verification and validation of the qualitative and nonfunctional parameters could be achieved with more ability. Since the majority of the real world...

UML is known as one of the most common methods in software engineering. Since this language is semi-formal, many researches and efforts have been performed to transform this language into formal methods including Petri nets. Thus, the operation of verification and validation of the qualitative and nonfunctional parameters could be achieved with more ability. Since the majority of the real world...

The success and proliferation of the Semantic Web depends heavily on construction of Web ontologies. However, classical ontology construction approaches are not sufficient for handling imprecise and uncertain information that is commonly found in many application domains. Therefore, great efforts on construction of fuzzy ontologies have been made in recent years. In this paper, we propose a for...

Fuzziness is an important aspect of the uncertainties of spatial data. In this paper, the mechanism and methods of spatial modeling for fuzzy geographical objects are focused and the following two issues are resolved: (1) Modeling fuzzy geographical objects; (2) Modeling the relation between two fuzzy geographical objects. In the first issue, fuzzy geographical objects are defined by the novel ...

Conceptual data modeling has become essential for non-traditional application areas. Some conceptual data models have been proposed as tools for database design and object-oriented database modeling. Information in real-world applications is often vague or ambiguous. Currently, a little research is underway on modeling the imprecision and uncertainty in conceptual data modeling and the conceptu...

None of the processing models in the software development has explained the software systems performance evaluation and modeling; likewise, there exist uncertainty in the information systems because of the natural essence of requirements and this may cause other challenges in the processing of software development. By definition an extended version of UML (Fuzzy-UML), the functional requirement...