期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2013
卷号：5
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Today most of the database systems in used are based on the precise data. However, in the real world application, it is often partially known or imprecise in nature giving rise to fuzzy relational database which contains imprecise micro data. Aggregation or statistical operation applied on micro data generates macro data called fuzzy statistic. In fuzzy statistics apart from fuzzy mean, fuzzy median primitive operation of counting of tuples in fuzzy relational database is an important aspect. In this context, we investigated the various approaches to cardinality of fuzzy sets which have been studied in the literature (e.g. sigmacount) and introduce the concept of fuzzy cardinality in fuzzy relational database. The concept of fuzzy statistical database is developed, which allows us to deal with the storage of vagueness or impreciseness associated with the statistical data. Fuzzy statistical database is a collection of fuzzy statistical tables. Depending upon the complexity of domain of fuzzy attributes in fuzzy statistical table, type-1 fuzzy statistical table and type-2 fuzzy statistical table are defined. We discuss the physical organization of fuzzy statistical table and algorithm for its implementation is also developed
