-
Article
Image blurring and sharpening inspired three-way clustering approach
Three-way clustering is a new type of clustering algorithm that divides the clustering results into three different parts or regions. This division allows a clear distinction between the central core and the o...
-
Chapter and Conference Paper
A Game-Theoretic Rough Set Approach for Handling Missing Data in Clustering
An important issue in clustering is how to deal with data containing missing values. A three-way decision making approach has recently been introduced for this purpose. It includes an added option of deferment...
-
Chapter and Conference Paper
Variance Based Determination of Three-Way Decisions Using Probabilistic Rough Sets
The probabilistic rough sets is an important generalization of rough sets where a pair of thresholds is used to form new rough regions. The pair of thresholds controls different quality related criteria such a...
-
Chapter and Conference Paper
A Three-Way Decision Making Approach to Malware Analysis
Malware analysis techniques generally classify software behaviors as malicious (i.e., harmful) or benign (i.e., not harmful). Due to ambiguous nature of application behavior, there are cases where it may not b...
-
Chapter and Conference Paper
Thresholds Determination for Probabilistic Rough Sets with Genetic Algorithms
Probabilistic rough sets define the lower and upper approximations and the corresponding three regions by using a pair of (α,β) thresholds. Many attempts have been made to determine or calculate effective (α,β) t...
-
Chapter and Conference Paper
Application of Game-Theoretic Rough Sets in Recommender Systems
Recommender systems are emerging as an important business tool in E-commerce. The recommendations in these systems typically rely on some sort of intelligent mechanisms that analyze previous user trends and ra...
-
Chapter and Conference Paper
Formulating Game Strategies in Game-Theoretic Rough Sets
The determination of thresholds (α,β) has been considered as a fundamental issue in probabilistic rough sets. The game-theoretic rough set (GTRS) model determines the required thresholds based on a formulated gam...
-
Chapter
Game-Theoretic Rough Sets for Feature Selection
Feature selection plays an important role in text categorization. Term frequency and document frequency are commonly used measures in feature selection methods for text categorization. The term frequency provi...
-
Chapter and Conference Paper
Multiple Criteria Decision Analysis with Game-Theoretic Rough Sets
Multiple criteria decision analysis plays an important role in many real life problems found in business, economics, management, governmental and political disputes. The game-theoretic rough set model (GTRS) i...
-
Chapter and Conference Paper
Classifying Attributes with Game-Theoretic Rough Sets
Attributes may be categorized as core, reduct or non-reduct attributes when rough set theory is utilized for classification. These attribute types play different roles in feature selection algorithms. We intro...
-
Chapter and Conference Paper
Incorporating Game Theory in Feature Selection for Text Categorization
Feature selection remains as one of effective and efficient techniques in text categorization. Selecting important features is crucial for effective performance in case of high imbalance in data. We introduced...
