The purpose of this article is to demonstrate a way of intellectualization of automated information and diagnostic systems using knowledge bases, databases and algorithms for the formalization of procedures in terms o...
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ISBN:
(纸本)9781479976300
The purpose of this article is to demonstrate a way of intellectualization of automated information and diagnostic systems using knowledge bases, databases and algorithms for the formalization of procedures in terms of the development of an expert system for marine diesel engines. The aim of this work is to develop an expert system's architecture with data mining tools for solving the problem of technical exploitation of marine diesel engines based on fragmented, unreliable and possibly inaccurate information. The architecture of such expert system allows moving from normal monitoring to "information monitoring" in the specialized intelligent human-machine systems. Application of data mining technology allows optimizing database processing queries that retrieve the required information from the actual data in order to detect important patterns. An approach based on data mining and fuzzy logic in the expert system is shown on an example of solving technical exploitation of marine diesel engines problem.
This paper deals with how to determine which features should be included in the software to be developed. Metaheuristic techniques have been applied to this problem and can help software developers when they face cont...
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This paper deals with how to determine which features should be included in the software to be developed. Metaheuristic techniques have been applied to this problem and can help software developers when they face contradictory goals. We show how the knowledge and experience of human experts can be enriched by these techniques, with the idea of obtaining a better requirements selection than that produced by expert judgment alone. This objective is achieved by embedding metaheuristics techniques into a requirements management tool that takes advantage of them during the execution of the development stages of any software development project. (C) 2015 Wiley Periodicals, Inc.
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