𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Topics in Rough Set Theory. Current Applications to Granular Computing

✍ Scribed by Seiki Akama, Yasuo Kudo, Tetsuya Murai


Publisher
Springer
Year
2020
Tongue
English
Leaves
208
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book discusses current topics in rough set theory. Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.

✦ Table of Contents


Front Matter ....Pages i-xv
Introduction (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 1-5
Overview of Rough Set Theory (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 7-60
Object Reduction in Rough Set Theory (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 61-70
Recommendation Method by Direct Setting of Preference Patterns Based on Interrelationship Mining (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 71-79
Rough-Set-Based Interrelationship Mining for Incomplete Decision Tables (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 81-99
A Parallel Computation Method for Heuristic Attribute Reduction Using Reduced Decision Tables (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 101-111
Heuristic Algorithm for Attribute Reduction Based on Classification Ability by Condition Attributes (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 113-127
An Evaluation Method of Relative Reducts Based on Roughness of Partitions (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 129-140
Neighbor Selection for User-Based Collaborative Filtering Using Covering-Based Rough Sets (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 141-159
Granular Computing and Aristotle’s Categorical Syllogism (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 161-172
A Modal Characterization of Visibility and Focus in Granular Reasoning (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 173-185
Directions for Future Work in Rough Set Theory (Seiki Akama, Yasuo Kudo, Tetsuya Murai)....Pages 187-198
Back Matter ....Pages 199-201

✦ Subjects


Granular Computing, Rough Sets, Rough Set Theory


πŸ“œ SIMILAR VOLUMES


Rough Set Theory and Granular Computing
✍ Zdzislaw Pawlak (auth.), Dr. Masahiro Inuiguchi, Prof. Shoji Hirano, Prof. Shusa πŸ“‚ Library πŸ“… 2003 πŸ› Springer-Verlag Berlin Heidelberg 🌐 English

<p>After 20 years of pursuing rough set theory and its applications a look on its present state and further prospects is badly needed. The monograph Rough Set Theory and Granular Computing edited by Masahiro Inuiguchi, Shoji Hirano and Shusaku Tsumoto meets this demand. It presents the newest develo

Data Mining, Rough Sets and Granular Com
✍ Lotfi A. Zadeh (auth.), Professor Tsau Young Lin, Professor Yiyu Y. Yao, Profess πŸ“‚ Library πŸ“… 2002 πŸ› Physica-Verlag Heidelberg 🌐 English

<p>During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is parΒ­ ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though relat

Granular Computing in Decision Approxima
✍ Lech Polkowski, Piotr Artiemjew (auth.) πŸ“‚ Library πŸ“… 2015 πŸ› Springer International Publishing 🌐 English

<p><p>This book presents a study in knowledge discovery in data with knowledge understood as a set of relations among objects and their properties. Relations in this case are implicative decision rules and the paradigm in which they are induced is that of computing with granules defined by rough inc

Granular Video Computing: With Rough Set
✍ Debarati Bhunia Chakraborty, Sankar Kumar Pal πŸ“‚ Library πŸ“… 2021 πŸ› World Scientific Pub Co Inc 🌐 English

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as ob

Granular Video Computing: With Rough Set
✍ Debarati Bhunia Chakraborty; Sankar Kumar Pal πŸ“‚ Library πŸ“… 2021 πŸ› World Scientific 🌐 English

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as ob

Granular Video Computing: With Rough Set
✍ Debarati Bhunia Chakraborty; Sankar Kumar Pal πŸ“‚ Library πŸ“… 2021 πŸ› World Scientific 🌐 English

This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as ob