Ebook: Rough-Neural Computing: Techniques for Computing with Words

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

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Content:
Front Matter....Pages I-XXV
Front Matter....Pages 1-4
Elementary Rough Set Granules: Toward a Rough Set Processor....Pages 5-13
Rough-Neural Computing: An Introduction....Pages 15-41
Information Granules and Rough-Neural Computing....Pages 43-84
A Rough-Neural Computation Model Based on Rough Mereology....Pages 85-108
Knowledge-Based Networking in Granular Worlds....Pages 109-137
Adaptive Aspects of Combining Approximation Spaces....Pages 139-156
Algebras from Rough Sets....Pages 157-184
Front Matter....Pages 185-188
Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge....Pages 189-218
Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases....Pages 219-250
On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis....Pages 251-275
New Fuzzy Rough Sets Based on Certainty Qualification....Pages 277-296
Toward Rough Datalog: Embedding Rough Sets in Prolog....Pages 297-332
On Exploring Soft Discretization of Continuous Attributes....Pages 333-350
Rough-SOM with Fuzzy Discretization....Pages 351-367
Front Matter....Pages 369-372
Biomedical Inference: A Semantic Model....Pages 373-409
Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective....Pages 411-434
Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative Equilibria....Pages 435-470
Rough Neurons: Petri Net Models and Applications....Pages 471-489
Information Granulation and Approximation in a Decision-Theoretical Model of Rough Sets....Pages 491-516
Front Matter....Pages 517-520
Intelligent Acquisition of Audio Signals, Employing Neural Networks and Rough Set Algorithms....Pages 521-541
Front Matter....Pages 517-520
An Approach to Imbalanced Data Sets Based on Changing Rule Strength....Pages 543-553
Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception....Pages 555-572
Handwritten Digit Recognition Using Adaptive Classifier Construction Techniques....Pages 573-585
From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature Description....Pages 587-597
Information Granulation and Pattern Recognition....Pages 599-636
Computational Analysis of Acquired Dyslexia of Kanji Characters Based on Conventional and Rough Neural Networks....Pages 637-648
WaRS: A Method for Signal Classification....Pages 649-687
A Hybrid Model for Rule Discovery in Data....Pages 689-722
Back Matter....Pages 723-736

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Content:
Front Matter....Pages I-XXV
Front Matter....Pages 1-4
Elementary Rough Set Granules: Toward a Rough Set Processor....Pages 5-13
Rough-Neural Computing: An Introduction....Pages 15-41
Information Granules and Rough-Neural Computing....Pages 43-84
A Rough-Neural Computation Model Based on Rough Mereology....Pages 85-108
Knowledge-Based Networking in Granular Worlds....Pages 109-137
Adaptive Aspects of Combining Approximation Spaces....Pages 139-156
Algebras from Rough Sets....Pages 157-184
Front Matter....Pages 185-188
Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge....Pages 189-218
Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases....Pages 219-250
On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis....Pages 251-275
New Fuzzy Rough Sets Based on Certainty Qualification....Pages 277-296
Toward Rough Datalog: Embedding Rough Sets in Prolog....Pages 297-332
On Exploring Soft Discretization of Continuous Attributes....Pages 333-350
Rough-SOM with Fuzzy Discretization....Pages 351-367
Front Matter....Pages 369-372
Biomedical Inference: A Semantic Model....Pages 373-409
Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective....Pages 411-434
Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative Equilibria....Pages 435-470
Rough Neurons: Petri Net Models and Applications....Pages 471-489
Information Granulation and Approximation in a Decision-Theoretical Model of Rough Sets....Pages 491-516
Front Matter....Pages 517-520
Intelligent Acquisition of Audio Signals, Employing Neural Networks and Rough Set Algorithms....Pages 521-541
Front Matter....Pages 517-520
An Approach to Imbalanced Data Sets Based on Changing Rule Strength....Pages 543-553
Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception....Pages 555-572
Handwritten Digit Recognition Using Adaptive Classifier Construction Techniques....Pages 573-585
From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature Description....Pages 587-597
Information Granulation and Pattern Recognition....Pages 599-636
Computational Analysis of Acquired Dyslexia of Kanji Characters Based on Conventional and Rough Neural Networks....Pages 637-648
WaRS: A Method for Signal Classification....Pages 649-687
A Hybrid Model for Rule Discovery in Data....Pages 689-722
Back Matter....Pages 723-736
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