Granular Computing: At the Junction of Rough Sets and Fuzzy Sets /
Corporate Author: | |
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Other Authors: | , , |
Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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Edition: | 1st ed. 2008. |
Series: | Studies in Fuzziness and Soft Computing,
224 |
Subjects: |
Table of Contents:
- Fuzzy and Rough Sets' Theoretical and Practical Aspects
- Missing Value Semantics and Absent Value Semantics for Incomplete Information in Object-Oriented Rough Set Models
- Similarities for Crisp and Fuzzy Probabilistic Expert Systems
- An Efficient Image Retrieval System Using Ordered Weighted Aggregation
- Entropy and Co-entropy of Partitions and Coverings with Applications to Roughness Theory
- Patterns of Collaborations in Rough Set Research
- Visualization of Local Dependencies of Possibilistic Network Structures
- Two Fuzzy-Set Models for the Semantics of Linguistic Negations
- A Coevolutionary Approach to Solve Fuzzy Games
- Rough Set Approach to Video Deinterlacing Systems
- Fuzzy and Rough Sets in Machine Learning and Data Mining
- Learning Membership Functions for an Associative Fuzzy Neural Network
- An Incremental Clustering Method and Its Application in Online Fuzzy Modeling
- Fuzzy Approach of Synonymy and Polysemy for Information Retrieval
- Rough Set Theory Measures for Quality Assessment of a Training Set
- A Machine Learning Investigation of a Beta-Carotenoid Dataset
- Rough Text Assisting Text Mining: Focus on Document Clustering Validity
- Construction of Rough Set-Based Classifiers for Predicting HIV Resistance to Nucleoside Reverse Transcriptase Inhibitors
- Fuzzy and Rough Sets in Decision-Making
- Rough Set Approach to Information Systems with Interval Decision Values in Evaluation Problems
- Fuzzy Rule-Based Direction-Oriented Resampling Algorithm in High Definition Display
- RSGUI with Reverse Prediction Algorithm
- An Algorithm for the Shortest Path Problem on a Network with Fuzzy Parameters Applied to a Tourist Problem
- PID Control with Fuzzy Adaptation of a Metallurgical Furnace.