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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Abraham, Ajith | Jain, Lakhmi. C.
Article Type: Research Article
Citation: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 3, pp. 119-120, 2003
Authors: Jermol, Mitja | Lavraç, Nada | Urbançiç, Tanja
Article Type: Research Article
Abstract: This paper presents a virtual enterprise model used in networking international expert teams from academia and business in the area of data mining and decision support. The knowledge management aspects of business intelligence as implemented in the virtual enterprise model are analyzed in terms of (a) the appropriate business, organizational and management models, (b) the need for knowledge management and the construction of a knowledge map of the available tools, expertise and collaborative work procedures, (c) …the cognitive authority in collaborative work management, as well as (d) the network intelligence aspect of the virtual enterprise endeavor. The project Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise (SolEuNet) is used as a case study and the source of lessons learned. Show more
Citation: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 3, pp. 121-136, 2003
Authors: Messina, Elena R. | Albus, James S. | Schlenoff, Craig I. | Evans, John
Article Type: Research Article
Abstract: The key to real-time intelligent control lies in the knowledge models that the system contains. We argue that there needs to be a more rigorous approach to engineering the knowledge within intelligent controllers. Three main classes of knowledge are identified: parametric, geometric/iconic, and symbolic. Each of these classes provides unique perspectives and advantages for the planning of behaviors by the intelligent system. Examples of each from demonstration systems are presented.
Citation: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 3, pp. 137-147, 2003
Authors: Crowther, Paul | Berner, Gerd | Williams, Raymond
Article Type: Research Article
Abstract: Since the early eighties, there has been a gradual shift in the focus of development of knowledge based systems away from the rapid prototyping techniques that had previously prevailed, toward more structured methodologies, including model based reasoning and modeling of knowledge domains. The default standard for the development of these systems has become the CommonKADS methodology. This paper will assess the feasibility of applying the CommonKADS methodology to the knowledge base of an existing legacy system, …the subsequent re-useability of knowledge and domain schema that results from the process and the development of collaborative domain ontologies. Currently the CommonKADS methodology embraces reuse by providing standard inferencing primitives and a set of generic task models. The resulting model set is assessed to determine its suitability to form the basis of an ontology for electroplating in the manufacturing industry. Show more
Citation: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 3, pp. 149-155, 2003
Authors: Mesenzani, Maurizio | Schael, Thomas | Albolino, Sara
Article Type: Research Article
Abstract: The paper contains a presentation of the work done in two ESPRIT Projects in the knowledge management area: Klee&Co (Knowledge and Learning Environments for European & Creative Organisations, started in 1998 and ended in 2000) and MILK (Multimedia Interaction for Learning and Knowing, started in early 2002 and expected to be closed by 2004). Klee&Co developed an approach and a web-based prototype allowing users to view knowledge in its context: the main feature of the Klee&Co …system is the "view with context". MILK is going to develop a system supporting users in any working situation, even mobile and social situations. It means a strong effort in interface and system design in order to create different technological platforms for PC environment, social environment, mobile environment. To get the expected results, it is important to start from the observation of users' needs and from the definition of a clear knowledge management strategy. The main outputs from the first stage of the MILK project will be presented and discussed to show the relevance of the integration between users, technology developers and designers visions for a successful knowledge management solution. Show more
Citation: Journal of Intelligent & Fuzzy Systems, vol. 14, no. 3, pp. 157-165, 2003
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