Multi-Label Attribute Reduction Based on Variable Precision Fuzzy Neighborhood Rough Set

نویسندگان
چکیده

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Variable-precision dominance-based rough set approach and attribute reduction

In this paper, a variable-precision dominance-based rough set approach (VP-DRSA) is proposed together with several VP-DRSA-based approaches to attribute reduction. The properties of VP-DRSA are shown in comparison to previous dominance-based rough set approaches. An advantage of VP-DRSA over variable-consistency dominance-based rough set approach in decision rule induction is emphasized. Some r...

متن کامل

Variable Neighborhood Search for Attribute Reduction in Rough Set Theory

Attribute reduction is a combinational optimization problem in data mining domain that aims to find a minimal subset from a large set of attributes. The typical high dimensionality of datasets precludes the use of greedy methods to find reducts because of its poor adaptability, and requires the use of stochastic methods. Variable Neighborhood Search (VNS) is a recent metaheuristic and have been...

متن کامل

Attribute Reduction in Variable Precision Rough Set Model

The differences of attribute reduction and attribute core between Pawlak’s rough set model (RSM) and variable precision rough set model (VPRSM) are analyzed in detail. According to the interval properties of precision parameter b with respect to the quality of classification, the definition of attribute reduction is extended from a specific b value to a specific b interval in order to overcome ...

متن کامل

Fuzzy-Rough set Approach to Attribute Reduction

Attribute Reduction has a significant role in different branches of artificial intelligence like machine learning, pattern recognition, data mining from databases etc. This paper deals with reduction of unimportant attribute(s) for classification and decision making, using Fuzzy-Rough set. A survey of Fuzzy-Rough set based methods for attribute reduction is presented here.

متن کامل

Attribute Reduction Based on Approximation Set of Rough Set ⋆

Attribute reduction is one of the core issues of the rough set theory. The traditional method of attribute reduction was designed based on positive region unchanged, as abandoning processing the incompatible data in the boundary domain, so the classification characteristics of the reduction results are not necessarily best. In this paper, the concept of relative approximate degree is proposed i...

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

ژورنال

عنوان ژورنال: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.3010314