Article

Article title METHOD OF INFORMATION RETRIEVAL BASED ON A FUZZY SIMILARITY OF SITUATIONS
Authors A.N. Tselykh, E.M. Kotov, A.A. Tselykh
Section SECTION II. KNOWLEDGE MANAGEMENT IN INFORMATION SYSTEMS
Month, Year 06, 2014 @en
Index UDC 004.048+025.4.03
DOI
Abstract This paper considers an approach to the problem of fuzzy information retrieval in a situation where a query is given by a fuzzy set defined on a set of search indexes. To find the relation- ship between a document and a query, we use a fuzzy thesaurus that allows for some query to identify relevant documents that otherwise would not be issued. For a semantic network that includes situations, concepts and a search query, we consider a procedure for extension and determining the relevance of a situation to a request. By linking the query vertex with defining concepts, we obtain a graph theoretical structure that is used to determine the relevance of the query to each object. We also consider the method based on determining the degree of similarity of a fuzzy query (search image) and the situation. We compute the relevance score with a method of a minimum value. To calculate the degree of fuzzy inclusion of a query in each of the situations, we use the formula of fuzzy similarity by Zadeh. The situation with the highest degree of inclusion is selected as a desired solution.

Download PDF

Keywords Vagueness; imprecision; fuzziness; information; retrieval.
References 1. Bordogna G., and Pasi G. Handling Vagueness in Information Retrieval Systems // Proceedings of the Second New Zealand International Two-Stream Conference on Neural Networks and Expert Systems, Dunedin, Nuova Zelanda, 20-23 November 1995. – P. 110-116.
2. Liu Z. Information Retrieval Using Relevance Feedback for the Mobile Internet. Thesis, University of North Dakota, May 2006.
3. Мелихов А.Н., Берштейн Л.С., Коровин С.Я. Ситуационные советующие системы с нечеткой логикой. – М.: Наука, 1990. – 272 с.
4. Ларичев О.И. Анализ процессов принятия человеком решений при альтернативах, имеющих оценки по многим критериям // Автоматика и телемеханика. – 1981. – № 8. – С. 131-141.
5. Заде Л.А. Понятие лингвистической переменной и его применение к принятию приближенных решений. – М.: Мир, 1976. – 168 с.
6. Целых А.Н., Котов Э.М. Методы нечетко-множественного анализа и моделирования социальных графов // Современные проблемы науки и образования. – 2013. – № 6. URL: www.science-education.ru/113-11178.

Comments are closed.