Expressions allowing us to express fuzzy quantities or proportions in order to provide an approximate idea of the number of elements of a subset fulfilling a certain condition or of the proportion of this number in relation to the total number of possible elements. Fuzzy quantifiers can be absolute or relative. Absolute quantifiers express quantities over the total number of elements of a particular set, stating whether this number is, for example, “much more than 10,” “close to 100,” “a great number of,” and so forth. Relative quantifiers express measurements over the total number of elements, which fulfill a certain condition depending on the total number of possible elements. This type of quantifier is used in expressions such as “the majority” or “most,” “the minority,” “little of,” “about half of,” and so on.
Published in Chapter:
Introduction and Trends to Fuzzy Logic and Fuzzy Databases
José Galindo (University of Málaga, Spain)
Copyright: © 2008
|Pages: 33
DOI: 10.4018/978-1-59904-853-6.ch001
Abstract
This chapter presents an introduction to fuzzy logic and to fuzzy databases. With regard to the first topic, we have introduced the main concepts in this field to facilitate the understanding of the rest of the chapters to novel readers in fuzzy subjects. With respect to the fuzzy databases, this chapter gives a list of six research topics in this fuzzy area. All these topics are briefly commented on, and we include references to books, papers, and even to other chapters of this handbook, where we can find some interesting reviews about different subjects and new approaches with different goals. Finally, we give a historic summary of some fuzzy models, and we conclude with some future trends in this scientific area.