[PDF] Top 20 T-Rough Sets Based on the Lattices
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T-Rough Sets Based on the Lattices
... Lattice theory plays an important role in the rough set theory and fuzzy set theory. Various uncertainties in real world applications can bring difficulties in determining the crisp membership functions of fuzzy ... See full document
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A New Approach to Rough Lattices and Rough Fuzzy Lattices Based on Fuzzy Ideals
... Pawlak’s rough sets which was introduced by Pawlak [10] in the early 1980s, is an extension of classical set theory and could be regarded as a mathematical tool for several assessment and decision problems ... See full document
7
Approximation Operator Based on Neighborhood Systems
... covering-based rough sets from the viewpoint of formal ...covering-based rough sets as a more powerful tool, it can be used to deal with the problems which can not be solved by ... See full document
12
An improved attribute reduction algorithm based on mutual information with rough sets theory
... algorithm based on mutual information, in order to solve the problem of a new attribute importance degree one new method on the basis of mutual information is proposed in the paper, which consists of its own ... See full document
6
MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... a rough set theory as a mathematical tool to evaluate the quality of the obtained ...other rough set-based attribute reduction methods available in the ... See full document
7
Port throughput influence factors based on neighborhood rough sets: An exploratory study
... In this article, we use the Forward-Greedy Numerical Attribute Reduction Algorithm based on the neighborhood model. The algorithm is a heuristic algorithm, which uses dependent function to build the Forward-Greedy ... See full document
13
System model of college students’ network behavior research based on rough sets
... research based on rough sets and these results are applied to the management of college students’ network ...of rough sets continuous attributes produce different effects in different ... See full document
7
Lattice for covering rough approximations
... covering-based rough set theory is an efficient tool to process this type of ...generalized rough sets. This paper presents the lattice based on covering rough approximations and ... See full document
6
Structured lattices and ground categories of L sets
... In some sense, this example provides a pointset approach to fuzzy topology alterna- tive to that given by Erceg [6] and further considered in [4, 5, 8] where the topological category ᏱL-Set with pointless ... See full document
21
On Links between Rough Sets and Digital Topology
... Rough set theory is a powerful tool for dealing with uncertainty, granularity, and incompleteness of knowledge in information systems. In addition, digital topology deals with properties and fea- tures of ... See full document
8
Development of compound clustering techniques using hybrid soft-computing algorithms
... descriptors based on the mathematical characterization of molecular structures that play an important role in structure- property and structure-activity relationship, particularly when multivariate regression ... See full document
127
Constructing bounded remainder sets and cut-and-project sets which are bounded distance to lattices
... these sums grow large when α is well approximable by rational numbers, which is a limitation in many problems. Unfortunately the discrepancy estimates which are obtained in this way are not far from the truth. Results of ... See full document
12
Decision making Method for an Ordered Information System Based on Multi granulation Rough Sets
... Based on the data from the 2007 sustainability report (the data can obtain from zjj892177892@163.com), we conduct a ranking study of the capacity of regional sustainable development. The data are included in the ... See full document
9
An improved moth flame optimization algorithm based on rough sets for tomato diseases detection
... Table 5: Classication results using KNN classier when the KNN with dierent k values and SVM-linear-Kernel were used as tness function in the features selection phase.. Feature selection [r] ... See full document
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Intrusion Detection Using Rough Sets based Parallel Genetic Algorithm Hybrid Model
... We are modified Parallel Island Model (PIM) to run on single PC instead of running on many PCs connected with a network and we called this Singleton Parallel Island Model (SPIM). New technique uses distributed ... See full document
8
Web-Based Medical Decision Support Systems For Three-Way Medical Decision Making With Game-Theoretic Rough Sets
... Based on the results in our analysis, we can determine that it is essential to implement a successful CDSS knows the users. Each kind of customer has different focus while experiencing the CDSS. Therefore, ... See full document
5
SOME ROUGH NEUTROSOPHIC SIMILARITY MEASURES AND THEIR APPLICATION TO MULTI ATTRIBUTE DECISION MAKING Surapati Pramanik *1 Kalyan Mondal 2
... In medical diagnosis problem, it is necessary to collect a lot of information from modern medical technologies, which is often incomplete and indeterminate due to the complexity and ambiguity of symptoms of various ... See full document
14
An Exponential Kernel based Fuzzy Rough Sets Model for Feature Selection
... The challenges of machine learning have received much attention by the use of kernel methods. Kernel methods allows mapping the data into a high dimensional feature space in order to increase the computation of linear ... See full document
8
Online Full Text
... a rough-neuro based hybrid approach for classification by unsupervised ...The rough set theory is used for reducing the input feature space and the neural network does the ...a Rough-Neuro ... See full document
5
Vol 11, No 3 (2020)
... T his paper extends the concepts of interior and closure of a set in the point set topology to the I-rough topological spaces by introducing the concepts of I-rough interior and I-rough ... See full document
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