«fuzzy rough set»
۱۳۰۷ نتیجهL-valued Fuzzy Rough Sets
In this paper, we take a GL-quantale as the truth value table to study a new rough set model—L-valued fuzzy rough sets. The three key components of this model are: an L-fuzzy set A as the universal set, an L-valued relation of A and an L-fuzzy set of A (a fuzzy subset of fuzzy se
On $L$-double fuzzy rough sets
ur aim of this paper is to introduce the concept of $L$-double fuzzy rough sets in whichboth constructive and axiomatic approaches are used. In constructive approach, a pairof $L$-double fuzzy lower (resp. upper) approximation operators is defined and the basic properties of them
Diagnosis of the disease using an ant colony gene selection method based on information gain ratio using fuzzy rough sets
With the advancement of metagenome data mining science has become focused on microarrays. Microarrays are datasets with a large number of genes that are usually irrelevant to the output class; hence, the process of gene selection or feature selection is essential. So, it follows
Intrusion detection system using an ant colony gene selection method based on information gain ratio using fuzzy rough sets
With the development of network-based technologies, intrusion detection plays an important role in modern computer systems. Intrusion Detection System (IDS) is used to achieve higher security, and detect abnormal activities in computers or networks. The efficiency of intrusion de
Generalized Interval-Valued Fuzzy Rough Sets Based on Interval-Valued Fuzzy Logical Operators
The fuzzy rough sets and generalized fuzzy rough sets have been extended by three pairs of fuzzy logical operators to deal with real-valued data for a variety of models. Three pairs of fuzzy logical operators are triangular norm or t-norm and its dual (t-conorm), residual implica
Granular Structure of Type-2 Fuzzy Rough Sets over Two Universes
Granular structure plays a very important role in the model construction, theoretical analysis and algorithm design of a granular computing method. The granular structures of classical rough sets and fuzzy rough sets have been proven to be clear. In classical rough set theory, eq
Fuzzy rough set theory for the interval-valued fuzzy information systems
The concept of the rough set was originally proposed by Pawlak as a formal tool for modelling and processing incomplete information in information systems, then in 1990, Dubois and Prade first introduced the rough fuzzy sets and fuzzy rough sets as a fuzzy extension of the rough
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications
Kernel methods and rough sets are two general pursuits in the domain of machine learning and intelligent systems. Kernel methods map data into a higher dimensional feature space, where the resulting structure of the classification task is linearly separable; while rough sets gran
A model for type-2 fuzzy rough sets
Rough set theory is an important approach to granular computing. Type-1 fuzzy set theory permits the gradual assessment of the memberships of elements in a set. Hybridization of these assessments results in a fuzzy rough set theory. Type-2 fuzzy sets possess many advantages over
Multi-granulation fuzzy rough sets
Based on analysis of Pawlak’s rough set model in the view of single equivalence relation and the theory of fuzzy set, associated with multi-granulation rough set models proposed by Qian, two types of new rough set models are constructed, which are multi-granulation fuzzy rough se