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Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems

Granular Computing Using Information Tables

Algorithms for Mining System Audit Data

Finding Unexpected Patterns in Data

Structure of Upper and Lower Approximation Spaces of Infinite Sets

Possibilistic Data Analysis and Its Similarity to Rough Sets

Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language

Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules

Validation of Concept Representation with Rule Induction and Linguistic Variables

A Query-Driven Interesting Rule Discovery Using Associations and Spanning Operations

An Interactive Visualization System for Mining Association Rules

Scoring and Ranking the Data Using Association Rules

Discovery of Approximate Knowledge in Medical Databases Based on Rough Set Model

Observability and the Case of Probability

Granulation and Granularity via Conceptual Structures: A Perspective From the Point of View of Fuzzy Concept Lattices

Granular Computing with Closeness and Negligibility Relations

Application of Granularity Computing to Confirm Compliance with Non-Proliferation Treaty

Basic Issues of Computing with Granular Probabilities

Multi-dimensional Aggregation of Fuzzy Numbers Through the Extension Principle

On Optimal Fuzzy Information Granulation

Ordinal Decision Making with a Notion of Acceptable: Denoted Ordinal Scales

A Framework for Building Intelligent Information-Processing Systems Based on Granular Factors Space

GRS: A Generalized Rough Sets Model

Indexed Rough Approximations, A Polymodal System, and Generalized Possibility Measures

Granularity, Multi-valued Logic, Bayes’ Theorem and Rough Sets

The Generic Rough Set Inductive Logic Programming (gRS—ILP) Model