Development environments to DSS are evolving to open and distribute architectures. The main features of these new architectures are: Data Base Query Tools in clients, fast developments and better graphics interfaces. DSS developers need a set of functionalities as multidimensional data view, variable capacity DW, set of complex criteria in order to filter the required information access, quick queries, minimum reorganisation when the data model is modified, etc. In this work a fuzzy knowledge based system to make decisions inside a DSS system that supports the planning and production control in a software factory. The fuzzy system is developed to evaluate the appropriateness of different platforms to construct a software product. From the p...
The complex nature and uncertain information in social problems required the emergence of fuzzy deci...
The objective of this research is to design the framework for a DSS Development System (DSSDS). The ...
In developing knowledge-based fuzzy systems it is possible to utilize several different development ...
The innovation process may be divided into three areas: the fuzzy front end (FFE), the new product d...
This paper reports on the conceptual development of an architecture for building intelligent fuzzy d...
Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2010.A topic of grea...
In order to meet customer requirements, manufacturing companies need to cope with the challenge of c...
AbstractIn order to meet customer requirements, manufacturing companies need to cope with the challe...
The development of an offshore field demands knowledge of many experts to choose the different compo...
The innovation process may be divided into three main parts: the front end (FE), the new product dev...
In this research, for the purpose of evaluating the performance of knowledge management systems as a...
The innovation process may be divided into three main parts: the front end (FE), the new product dev...
Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must su...
This thesis focuses on the problem and application of artificial intelligence in company decision ma...
Stratassist, a prototype fuzzy decision-support system (DSS) for strategic planning, was tested usin...
The complex nature and uncertain information in social problems required the emergence of fuzzy deci...
The objective of this research is to design the framework for a DSS Development System (DSSDS). The ...
In developing knowledge-based fuzzy systems it is possible to utilize several different development ...
The innovation process may be divided into three areas: the fuzzy front end (FFE), the new product d...
This paper reports on the conceptual development of an architecture for building intelligent fuzzy d...
Thesis (M.Sc. (Computer Science))--North-West University, Potchefstroom Campus, 2010.A topic of grea...
In order to meet customer requirements, manufacturing companies need to cope with the challenge of c...
AbstractIn order to meet customer requirements, manufacturing companies need to cope with the challe...
The development of an offshore field demands knowledge of many experts to choose the different compo...
The innovation process may be divided into three main parts: the front end (FE), the new product dev...
In this research, for the purpose of evaluating the performance of knowledge management systems as a...
The innovation process may be divided into three main parts: the front end (FE), the new product dev...
Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must su...
This thesis focuses on the problem and application of artificial intelligence in company decision ma...
Stratassist, a prototype fuzzy decision-support system (DSS) for strategic planning, was tested usin...
The complex nature and uncertain information in social problems required the emergence of fuzzy deci...
The objective of this research is to design the framework for a DSS Development System (DSSDS). The ...
In developing knowledge-based fuzzy systems it is possible to utilize several different development ...
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