Fuzzy Information and Engineering

1. Front Matter

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2. Fuzzy Intelligence, Neural Networks and Optimal

   1. An Improved Ant Colony Optimization Applied to Attributes Reduction

      • Ting-quan Deng, Cheng-dong Yang, Yue-tong Zhang, Xin-xia Wang

      Pages 1-6

   2. Saddle Point Optimality Conditions in Fuzzy Optimization Problems

      • Zeng-tai Gong, Hong-xia Li

      Pages 7-14

   3. Application of Artificial Neural Networks to Classify Water Quality of the Yellow River

      • Li-hua Chen, Xiao-yun Zhang

      Pages 15-23

   4. Autonomous Mobile Intelligent Robots on Fuzzy System with Optimal Theories

      • Hong-yong Yang, Fu-zeng Zhang

      Pages 24-32

   5. Equivalence between Mizumoto Lattice Finite Automata

      • Yang Wang, Zhi-wen Mo

      Pages 33-37

   6. Fuzzy Neural Network Optimization by a Multi-Objective Differential Evolution Algorithm

      • Ming Ma, Li-biao Zhang, Xiang-li Xu

      Pages 38-43

   7. Stability of Periodic Solution to Fuzzy BAM Neural Networks with Time-Varying Delays

      • Qian-hong Zhang, Li-hui Yang

      Pages 44-53

   8. Tactile Sensor Signal Processing with Artificial Neural Networks

      • Bing Guo, Lan Qin

      Pages 54-62

   9. Application of Fuzzy Theory to Binomial Option Pricing Model

      • Shu-xia Liu, Yi Chen, Na-Xu

      Pages 63-70

3. Fuzzy Algebra

   1. Power Relations and Their Properties

      • Hong-hai Mi, Yan-hua Tan, Hong-xing Li

      Pages 71-82

   2. Presentation and Relationship of the Structure of Hypergroup

      • Jin Zheng

      Pages 83-91

   3. ⊤-Fuzzy Subgroups with Thresholds

      • Bao Qing Hu, Yan Qing Niu

      Pages 92-100

   4. Existence and Uniqueness of Anti-fuzzy Ideal

      • Min Li, Yanping Feng, Ying Han

      Pages 101-106

   5. Fuzzy Bayesian Discriminant on Two Non-fuzzy Groups

      • Wen-rui Zheng, Zhong-zhi Lou

      Pages 107-112

   6. Normal MP-Filters of R ₀-Algebras

      • Yong-lin Liu, Mei-ying Ren

      Pages 113-118

   7. Lax Invariant in Coalgebra

      • Jie-lin Li, Lei Fan

      Pages 119-127

   8. Properties of Basic Fuzzy Implication Algebra

      • Zhi-wei Li, Gui-hua Li

      Pages 128-134

   9. Directed Completions and DM-Completions on \(\mathcal {R}-\)Posets

      • Li-gang Wu, Lei Fan

      Pages 135-144

   10. The Intuitionistic Anti-fuzzy Subgroup in Group G

       • De-yuan Li, Cheng-yi Zhang, Sheng-quan Ma

       Pages 145-151

This book is the proceedings of the Third Annual Conference on Fuzzy Information and Engineering (ACFIE2008) from Dec. 5-10, 2008 in Haikou, China. The conf- ence proceedingsis published by Springer-Verlag(Advancesin Soft Computing,ISSN: 1615-3871). This year, we have received 155 submissions. Each paper has undergone a rigorous review process. Only high-quality papers are included. The Third Annual Conference on Fuzzy Information and Engineering (ACFIE2008), built on the success of previous conferences,the ACFIE2005 (Guangzhou,China), is a major symposium for scientists, engineers and practitioners in China to present their updated results, ideas, devel- ments and applications in all areas of fuzzy information and engineering. It aims to strengthen relations between industry research laboratoriesand universities, and to c- ate a primary symposium for world scientists in fuzzy ?elds as follows: 1) Fuzzy intelligence, neural networks and optimal; 2) Fuzzy algebra; 3) Fuzzy analysis; 4) Fuzzy systems and logic; 5) Fuzzy topology and measure; 6)Fuzzy probability, control, forecasting and decision-making; 7) Fuzzy clustering and fuzzy algorithms; 8) Application in fuzzy sets; 9) Rough sets and its application; etc. This book contains 80 papers, divided into nine main parts: In Section I, we have 9 papers on “fuzzy intelligence, neural networks and optimal”. In Section II, we have 11 papers on “fuzzy algebra”. In Section III, we have 9 papers on “fuzzy analysis”. In Section IV, we have 9 papers on “fuzzy systems and logic”. In Section V, we have 9 papers on “fuzzy topology and measure”.

• Applications
• Artificial Intelligence
• Engineering
• Fuzzy Information
• Fuzzy Operation Research and Management
• Fuzzy Sets and Systems
• Soft Computing
• algorithms
• fuzzy sets
• fuzzy system
• neural network

• Guangzhou Higher Education Mega Center, Guangzhou University, China

  Bing-yuan Cao

• Department of Mathematics, Hainan Normal University, Hainan, P.R. China

  Cheng-yi Zhang

• Department of Electronic Information Engineering, Chongqing University of Science & Technology, Chongqing

  Tai-fu Li

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