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Analysis of software for implementing fuzzy expert systems
Abstract.The research focuses on enterprises and organizations of various industries, leading project-oriented business. The subject of the study are the decision-making processes that are present in the implementation of various projects. Increasing the effectiveness of decisions can be achieved through the use of expert systems. At the same time, the expert system should be based on modern methods of processing information in conditions of uncertainty. The author suggests using expert systems based on methods and models of fuzzy logic. Particular attention in the article the author pays to the functional requirements, which must correspond to fuzzy expert system. The author examines in detail the existing list of software for the implementation of fuzzy expert system, and to identify the optimal software which meets the requirements, the method of analysis of complex systems by the criterion of functional completeness of Professor G.N. Khubaeva.As a result of the analysis it was established that the existing software solutions do not meet the functional requirements in many respects, therefore the development of a new and effective tool is an actual task.The analysis also made it possible to identify software tools with a similar set of functions, to estimate the degree of similarity and the degree of correspondence of the systems of the "reference" model of the information system that takes into account the requirements of the user.
Keywords: absorption matrix, similarity matrix, matrix of superiority, quantitative estimation, functional completeness, fuzzy logic, risk, expert system, graphs, reference model
Article was received:13-11-2017
This article written in Russian. You can find full text of article in Russian here .