Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy engineering
Uncertainty in fault tree analysis: a fuzzy approach
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Subjective analysis of system reliability and its analyzer
Fuzzy Sets and Systems - Special issue on fuzzy methodology in system failure engineering
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Decision Support and Expert Systems: Management Support Systems
Decision Support and Expert Systems: Management Support Systems
An Intelligent Early Warning System for Software Quality Improvement and Project Management
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Environmental Modelling & Software
A first approach to web services for the National Water Information System
Environmental Modelling & Software
A frame knowledge system for managing financial decision knowledge
Expert Systems with Applications: An International Journal
Design of an image analysis website for phenological and meteorological monitoring
Environmental Modelling & Software
Fuzzy modelling of the composting process
Environmental Modelling & Software
Environmental Modelling & Software
Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper we argue that Early Warning Systems for engineering facilities can be developed by combining and integrating existing technologies and theories. As example, we present an efficient integration of fuzzy expert systems, fault tree analysis and Worldwide Web technologies to their application in the development of the Landfill Operation Management Advisor (LOMA), a novel early warning and emergency response system for solid waste landfill operations. The aim of LOMA is to provide assistance to landfill managers on their efforts in preventing accidents and operational problems and to help them to develop emergency response plans if these operational problems shall occur. Additional aim is to disseminate information and knowledge to the public on landfill operational problems and their adverse effects. This aim is related to solid waste organizations that have to accord with legislations which are similar to the European Union's EC Directive (2003/4/EC) on Public Access to Environmental Information. When using LOMA, the user first describes the working conditions at the landfill. Then, based on this description, LOMA informs user about the potential operational problems. Afterwards, it analyzes the operational problems in more detail and it estimates the possibility of their occurrence. Finally, it provides advice on how to prevent them and how to respond if any of them occurs. This paper thoroughly investigates LOMA development as well as its integral methodologies and validates it by outlining its performance in test cases that were performed by experts during the operation of a real landfill as well as in test cases extracted from a specially constructed database with synthetic events.