Real-time decision systems are computer-controlled systems that must react to events in the external environment by making decisions based on sensor inputs and state information sufficiently fast to meet environment-imposed timing constraints. They are used in applications that would require human e
Logical design of data base systems
β Scribed by G. Pangalos
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 740 KB
- Volume
- 17
- Category
- Article
- ISSN
- 0378-7206
No coin nor oath required. For personal study only.
β¦ Synopsis
The importance of of a conceptual schema for a successful data base design is widely accepted today. Its development remains however a major problem during the logical design of a data base system. A number of problems related to the role, structure and implementation of a conceptual schema for an enterprise are briefly discussed in this article and a conceptual schema structure and design methodology is proposed that should help meet the requirements of the users in an optimal way. An appropriate data base model structure is also proposed; it provides the necessary underlying structure for the conceptual schema and helps overcome some of the problems currently encountered.
π SIMILAR VOLUMES
The three main methods of data modelling, hierarchical, network, and relational are described together with their advantages and disadvantages. The hierarchical model has strictly limited applicability, but the other two are of general use, although the network model in many respects defines a stora
Fuzzy neurons may have outstanding learning abilities and are endowed with significant interpretation capabilities. In this study, we are concerned with the development of logic networks composed of fuzzy neurons. The main phase of the design includes the granulation of the output space ~via triangu
Data base design encompasses both business and technical aspects. Conceptual data modelling creates a conceptual schema to abstract the user view of data within the business context. This conceptual schema is mapped to the logical data model structure in order to obtain a set of normalized relations
The integration of fuzzy logic and neural networks has given birth to an emerging technology ΓΏeld, fuzzy neural networks. The fuzzy neural networks have the potential to capture the beneΓΏts of the two fascinating ΓΏelds into a single capsule. In this paper three approaches of implementing and constru