rough set approach
Dominance Based Rough Set Approach in Selection of Portfolio of Sustainable Development Projects
... Dominance-based Rough Set Approach (DRSA) ...of Rough Sets allow us to sim- plify the process of selecting a portfolio of sustainable development projects by reducing a number of redundant ...
7
Choosing the best knowledge acquisition for dengue dataset based on rough set approach
... X. Rough set modeling assumes the existences of several attribute in a data set are more important compares to ...the rough set approach consists of several steps leading towards ...
5
A Rough Set Approach towards Analysis of Cosmetic Data
... The main task in cosmetic product development is to group the customers having similar disorders and analyze the features they are commonly possessing. This leads to the cosmetic product rejuvenation which helps in ...
5
Chikungunya Diagnosing using Rough Set Approach
... the Rough set theory as an approach to diagnosis Chikungunya fever by the elimination of redundant data available in medical database ends with a set of decision rule which can assist the ...
7
A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table
... both rough and ...precision rough set) approach is proposed based on substitution of the indiscernibility relation by a fuzzy indiscernibility relation in the rough approximation of ...
5
Concept Lattice: A rough set approach
... on rough set theory, including the attribute oriented concept lattice [2], lattice for cov- ering rough approximation[14], rough set approach on lattice [12] and distributive ...
9
Rough set approach for classifying student's learning style : a comparative analysis
... Rough set offers some important techniques in managing an information system and consists of several steps leading towards the final goal of generating rules from information ...of Rough set ...
6
Rough Set Approach to Development of a Knowledge-Based Expert System
... A rough expert system is an expert system that uses rough logic instead of conventional ...formulated. Rough expert systems are used to provide non experts with some expert's ...
5
A rough set approach for the discovery of classification rules in interval valued information systems
... minimal set of features (and feature values) and the optimal set of consistent rules for classification or ...of rough sets, proposed by Pawlak [28], has recently been used to analyze data sets for ...
34
A Rough Set Approach for Generation and Validation of Rules for Missing Attribute Values of a Data Set
... Data mining has emerged as most significant and continuously evolving field of research because of it‘s ever growing and far reaching applications into various areas such as medical, military, financial markets, banking ...
5
Rough Set Approach to Multivariate Decision Trees Inducing
... Rough Set Theory (RST) originated by Pawlak in 1980s has been described as a new mathematical tool to deal with inexact, uncertain or vague knowledge [18, ...a set by a pair of two crisp sets called ...
10
Rough Set Approach for the Classification of Advertisement in the Development of Business Establishment
... data set and to derive the relevant data for desired ...of rough set theory has an important role to play for knowledge discovery in data ...first approach to predict business failure started ...
8
Rough set approach for categorical data clustering
... on rough set theory, a mathematical formalism developed by ...of rough set theory for data mining is one approach that has proved successfully (Magnani, ...years, rough ...
47
Rough Set Approach in Machine Learning: A Review
... a rough set rule induction algorithm generates decision rules, which can reveal profound knowledge and provide new insights ...an approach to knowledge acquisition, which induced probabilistic rules ...
13
Rough Set Approach for Generation of Classification Rules for Malaria
... of Rough Set can be used to find dependence relationship among data, evaluate the importance of attributes, discover the patterns of data, learn common decision-making rules, reduce all redundant objects ...
5
A NOVEL APPROACH OF ROUGH SET ANALYSIS IN DISTRIBUTED DATA MINING
... Rough set theory is a new mathematical approach to imperfect ...fuzzy set theory proposed by Zadeh .Rough set theory proposed by Zpawlak presents still another attempt to this ...
9
Retrieving the Missing Information from Information Systems Using Rough Set, Covering Based Rough Set and Soft Set
... between rough set and covering based ...of rough set, attribute values are known but there are not enough attributes (or attribute domains are too coarse) to identify a single object by their ...
5
MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET
... As stated in the earlier discussion, RRT shows promising performance when compared with other available methods. We believed that the strength of this method comes from the simplicity of the algorithm since it uses very ...
7
A Distributed Clustering Approach for Heterogeneous Environments Using Fuzzy Rough Set Theory
... uses rough set theory to weight the instances. As it is apparent, rough set theory can be applied only on nominal features, therefore to use it for continues features, a discretization method ...
14
Application of kohonen neural network and rough approximation for overlapping clusters optimization
... The approach is based on the rough set theory that employs a soft clustering which can detects overlapped data from the data set and makes clustering as precise as possible,[r] ...
15