Generalization of Rough Sets Using Relationships Between Attribute Values

نویسنده

  • Y. Y. Yao
چکیده

The notion of rough sets is generalized by using an arbitrary binary relation on attribute values in information systems, instead of the trivial equality relation. The relation, not necessarily equivalence, between objects are defined in terms of relationships between attribute values. The adoption of other types of relations enables us to define various classes of rough set models. This study provides a basis for nonstandard rough sets. The results are complementary to that of investigations based on modal logic.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parameterized rough set model using rough membership and Bayesian confirmation measures

A generalization of the original definition of rough sets and variable precision rough sets is introduced. This generalization is based on the concept of absolute and relative rough membership. Similarly to variable precision rough set model, the generalization called parameterized rough set model, is aimed at modeling data relationships expressed in terms of frequency distribution rather than ...

متن کامل

Three Approaches to Missing Attribute Values: A Rough Set Perspective

A new approach to missing attribute values, based on the idea of an attribute-concept value, is studied in the paper. This approach, together with two other approaches to missing attribute values, based on "do not care" conditions and lost values are discussed using rough set methodology, including attribute-value pair blocks, characteristic sets, and characteristic relations. Characteristic se...

متن کامل

Discovering attribute relationships, dependencies and rules by using rough sets

1. The analysis of information on various levels of representation “granularity”, from “fine” to “coarse” representation. This paper reviews the methodology of the application of the theory of rough sets to the problem ofknowledge discovery in databases. The methodology is based on the idea of information generalization, to look at the data at various levels of abstraction, followed b y the dis...

متن کامل

Attribute-Oriented Knowledge Discovery in Rough Relational Databases

The rough relational database model was developed for the management of uncertainty in relational databases. A particular type of knowledge discovery, attribute oriented induction of rules from generalized data is described in this paper. Rough Relational Databases In rough sets (Pawlak 1984) an approximation space is defined on some universe U by defining some equivalence relation that partiti...

متن کامل

A Study of Cartographic Generalization Based on Rough Set Method

This paper introduces how to apply rough set classification and attribute reduction method in map generalization and provides solutions to several special cases arising in the map spatial data processing. Unlike the analysis in the past which focused solely on the attribute data of map, in this paper, rough set attribute decision table specific for the features of map data is created on the bas...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005