國立高雄大學圖資館 |

Fuzzy theory systemstechniques and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fuzzy theory systemsedited by Cornelius T. Leondes.
Reminder of title:	techniques and applications /
other author:	Leondes, Cornelius T.
Published:	San Diego, CA :Academic Press,1999.
Description:	1 online resource (4 v. (xl, 1777 p.)) :ill.
Subject:	Automatic control.
Online resource:	http://www.sciencedirect.com/science/book/9780124438705
ISBN:	9780124438705

Fuzzy theory systemstechniques and applications /
Fuzzy theory systemstechniques and applications /[electronic resource] :edited by Cornelius T. Leondes. - San Diego, CA :Academic Press,1999. - 1 online resource (4 v. (xl, 1777 p.)) :ill.

Includes bibliographical references and index.

Contents of Volume 1: A. DeGloria, P. Ferrari, D. Grosso, M. Olivieri, and I. Puglisi, Implementation Techniques and Their Applications. H. Ishibuchi and M. Nii, Neural Networks for Fuzzy Rule Approximation. J.V. de Oliviera and J.M. Lemos, Fuzzy System Interface Optimizers in Various Systems Problems. S.H. Nasution, Fuzzy Theory to Critical Path Methods. J. Virant, N. Zimic, and M. Mraz, Fuzzy Sequential Circuits and Automata. K. Hirota and W. Pedrycz, Or/And Neurons in Fuzzy Systems. M. Russo, Hybrid Fuzzy Learning Theory in Systems Modeling. A.J.B. Diz, Fuzzy Systems Based on Petri Net Formalism. W. Pedrycz and J.V. de Oliviera, Optimization Techniques in the Design of Fuzzy Models. W. Pedrycz, Modeling Relationships in Data: From Contingency Tables to Fuzzy Multimodels. Y.-C. Hsu and G. Chen, Fuzzy Dynamical Modeling Techniques for Nonlinear Control Systems and Their Application to Multiple-Input Multiple-Output (MIMO) Systems. E. Deeba, A. de Korvin, and S. Xie, Fuzzy Set Theory to Difference and Functional Equations and Their Utilization in Modeling Diverse Systems. Y. Jin and J. Jiang, Neural Network Based Fuzzy System Identification and Their Application in the Control of Complex Systems. C.-M. Liaw and Y.-S. Kung, Fuzzy Control with Reference Model Following Response. W. Pedrycz, Fuzzy Set Based Models of Neurons and Knowledge-Based Network. L. Wang, R. Langari, and J. Yen, Identifying Fuzzy Rule Based Models Using Orthogonal Transformation and Backpropagation. C.-T. Sun and H.-J. Chiu, Evolutionary Neuro-Fuzzy Modeling. Subject Index. -- Contents of Volume 2: A. Aoyama, F.J. Doyle III, and V. Venkatasubramanian, Fuzzy Neural Network Systems for Nonlinear Chemical Process Control Systems. J.L. Koning, Fuzzy Theory in Material Selection for Mechanical Design Problems. G.D. Mandyam and M.D. Srinath, Applications of Fuzzy System Theory to Telecommunications. N. Sepehri, T. Corbet, and P.D. Lawrence, Hydraulically Actuated Industrial Robots. H.A. Malki and G. Chen, Design and Stability Analysis of Fuzzy Proportional-Integral-Derivative (PID) Control Systems and Their Industrial Applications. P. Bose, L. Lietard, and O. Pivert, Database Management Systems. S.-M. Chen, Document Retrieval Systems. M. Berenguel, F.R. Rubio, E.P. Camacho, and F. Gordillo, Fuzzy Logic Control of Solar Power Plants. H.J. Caulfield, J. Ludman, and J. Shamir, Fuzzy Metrology. C.V. Jawahar and A.K. Ray, Fuzzy Statistics in Digital Image Analysis. Y. Zhang, Digital Image Transformation. K.-S. Cheng, J.-S. Lin, and C.-W. Mao, Comparative Analysis of Neural Network Systems and Fuzzy Systems in Medical Image Segmentation. A.-Y. Chen, K.-A. Wen, and F.-S. Leou, Image Processing Based on the Human Visual System Model. I.H. Suh and T.W. Kim, Fuzzy Logic-Based Visual Feedback Control. S. Abe, Fuzzy Rules Determination and Their Application to Pattern Classification. H. Ishibuchi, T. Nakashima, and T. Murata, Genetic Algorithm Based Methods for Designing Compact Fuzzy Classification Systems. T.D. Pham and H. Yan, Combination of Handwritten-Numeral Classifiers with Fuzzy Integral. Subject Index. -- Contents of Volume 3: Y.-H. Kuo and J.-P. Hsu, Fuzzy Neural Network Systems. K.M. Lee and H. Lee-Kwang, Fuzzy Inference Neural Networks for Fuzzy Model Improvement. C.-F. Juang, H.-W. Nein, and C.-T. Lin, Integrated Neural Network Based Fuzzy Logic Control Systems. S.I. Chang, Neural Fuzzy System Techniques and Applications for Production Quality Control. K. Kiguchi and T. Fukuda, Fuzzy-Neural Network Techniques in Robotic Object Manipulation. A. Konar and S. Pal, Modeling Cognition with Fuzzy Neural Nets. C.-T. Lin, I.F. Chung, and Y.C. Lu, Neural Fuzzy Systems for Processing Numerical and Linguistic Information. K.C. Chan, Intelligent PID Controllers. B.-S. Chen and Y.-M. Cheng, Fuzzy Theory Via Control Techniques for Tracking Algorithms for Uncertain Nonlinear Systems. Y.R. Hwang, Fuzzy Smoothing Algorithms for Control Systems. P. Lee, G.J. Jeon, and K.K. Lee, Fuzzy Theory in the Validity of Complexity Reduction by Means of Decomposition of Multivariable Fuzzy Systems. F. Klawonn and R. Kruse, Control Systems Based on Knowledge-Based Interpolation. B.M. Novakovic, Adaptive Fuzzy Logic Control Synthesis Without Any Fuzzy Rule Base. C.-Y. Su and Y. Stepanenko, Fuzzy Adaptive Control Techniques for Nonlinear Systems and Their Application. Y.-M. Park, U.-C. Moon, and K.Y. Lee, On-Line Self-Organizing Fuzzy Logic Controller Using Fuzzy Auto-Regressive Moving Average (FARMA) Model. T. Jiang and Y. Li, Fuzzy Theory in Generalized Defuzzification Methods and Their Utilization in Parameter Learning Techniques. R. Palm, Optimal Adjustment of Scaling for Fuzzy Controllers Using Correlation Techniques. H. Narazaki and A.L. Ralescu, Translation and Extraction Problems for Neural and Fuzzy Systems: Bridging Over Distributed Knowledge Representation in Multi-Layered Neural Networks and Local Knowledge Representations in Fuzzy Systems. J. Anbe and T. Tobi, Fuzzy Set System Applications to Medical Diagnosis. Subject Index.

Applications of fuzzy theory (often referred to as "fuzzy logic") are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after "considering" several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.

ISBN: 9780124438705

Source: 78795:78795Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

182078
Automatic control.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TJ213 / .F896 1999eb

Dewey Class. No.: 629.8

Fuzzy theory systemstechniques and applications /
LDR:07484cmm 2200421Ia 4500 001 354271
005 20120813090616.0
006 m d
007 cr cn|||||||||
008 130104s1999 caua ob 001 0 eng d
019 $a 607090183
020 $a 9780124438705
020 $a 0124438709
020 $z 0124438717 (v. 1)
020 $z 9780124438712 (v. 1)
020 $z 0124438725 (v. 2)
020 $z 9780124438729 (v. 2)
020 $z 0124438733 (v. 3)
020 $z 9780124438736 (v. 3)
020 $z 0124438741 (v. 4)
020 $z 9780124438743 (v. 4)
029 1 $a NZ1 $b 12432337
029 1 $a DEBBG $b BV039832011
035 $a ocn162128833
037 $a 78795:78795 $b Elsevier Science & Technology $n http://www.sciencedirect.com
040 $a OPELS $b eng $c OPELS $d OCLCQ $d OCLCE
049 $a NTYA
050 4 $a TJ213 $b .F896 1999eb
082 0 4 $a 629.8 $2 22
084 $a 54.72 $2 bcl
245 0 0 $a Fuzzy theory systems $h [electronic resource] : $b techniques and applications / $c edited by Cornelius T. Leondes.
260 $a San Diego, CA : $b Academic Press, $c 1999.
300 $a 1 online resource (4 v. (xl, 1777 p.)) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Contents of Volume 1: A. DeGloria, P. Ferrari, D. Grosso, M. Olivieri, and I. Puglisi, Implementation Techniques and Their Applications. H. Ishibuchi and M. Nii, Neural Networks for Fuzzy Rule Approximation. J.V. de Oliviera and J.M. Lemos, Fuzzy System Interface Optimizers in Various Systems Problems. S.H. Nasution, Fuzzy Theory to Critical Path Methods. J. Virant, N. Zimic, and M. Mraz, Fuzzy Sequential Circuits and Automata. K. Hirota and W. Pedrycz, Or/And Neurons in Fuzzy Systems. M. Russo, Hybrid Fuzzy Learning Theory in Systems Modeling. A.J.B. Diz, Fuzzy Systems Based on Petri Net Formalism. W. Pedrycz and J.V. de Oliviera, Optimization Techniques in the Design of Fuzzy Models. W. Pedrycz, Modeling Relationships in Data: From Contingency Tables to Fuzzy Multimodels. Y.-C. Hsu and G. Chen, Fuzzy Dynamical Modeling Techniques for Nonlinear Control Systems and Their Application to Multiple-Input Multiple-Output (MIMO) Systems. E. Deeba, A. de Korvin, and S. Xie, Fuzzy Set Theory to Difference and Functional Equations and Their Utilization in Modeling Diverse Systems. Y. Jin and J. Jiang, Neural Network Based Fuzzy System Identification and Their Application in the Control of Complex Systems. C.-M. Liaw and Y.-S. Kung, Fuzzy Control with Reference Model Following Response. W. Pedrycz, Fuzzy Set Based Models of Neurons and Knowledge-Based Network. L. Wang, R. Langari, and J. Yen, Identifying Fuzzy Rule Based Models Using Orthogonal Transformation and Backpropagation. C.-T. Sun and H.-J. Chiu, Evolutionary Neuro-Fuzzy Modeling. Subject Index. -- Contents of Volume 2: A. Aoyama, F.J. Doyle III, and V. Venkatasubramanian, Fuzzy Neural Network Systems for Nonlinear Chemical Process Control Systems. J.L. Koning, Fuzzy Theory in Material Selection for Mechanical Design Problems. G.D. Mandyam and M.D. Srinath, Applications of Fuzzy System Theory to Telecommunications. N. Sepehri, T. Corbet, and P.D. Lawrence, Hydraulically Actuated Industrial Robots. H.A. Malki and G. Chen, Design and Stability Analysis of Fuzzy Proportional-Integral-Derivative (PID) Control Systems and Their Industrial Applications. P. Bose, L. Lietard, and O. Pivert, Database Management Systems. S.-M. Chen, Document Retrieval Systems. M. Berenguel, F.R. Rubio, E.P. Camacho, and F. Gordillo, Fuzzy Logic Control of Solar Power Plants. H.J. Caulfield, J. Ludman, and J. Shamir, Fuzzy Metrology. C.V. Jawahar and A.K. Ray, Fuzzy Statistics in Digital Image Analysis. Y. Zhang, Digital Image Transformation. K.-S. Cheng, J.-S. Lin, and C.-W. Mao, Comparative Analysis of Neural Network Systems and Fuzzy Systems in Medical Image Segmentation. A.-Y. Chen, K.-A. Wen, and F.-S. Leou, Image Processing Based on the Human Visual System Model. I.H. Suh and T.W. Kim, Fuzzy Logic-Based Visual Feedback Control. S. Abe, Fuzzy Rules Determination and Their Application to Pattern Classification. H. Ishibuchi, T. Nakashima, and T. Murata, Genetic Algorithm Based Methods for Designing Compact Fuzzy Classification Systems. T.D. Pham and H. Yan, Combination of Handwritten-Numeral Classifiers with Fuzzy Integral. Subject Index. -- Contents of Volume 3: Y.-H. Kuo and J.-P. Hsu, Fuzzy Neural Network Systems. K.M. Lee and H. Lee-Kwang, Fuzzy Inference Neural Networks for Fuzzy Model Improvement. C.-F. Juang, H.-W. Nein, and C.-T. Lin, Integrated Neural Network Based Fuzzy Logic Control Systems. S.I. Chang, Neural Fuzzy System Techniques and Applications for Production Quality Control. K. Kiguchi and T. Fukuda, Fuzzy-Neural Network Techniques in Robotic Object Manipulation. A. Konar and S. Pal, Modeling Cognition with Fuzzy Neural Nets. C.-T. Lin, I.F. Chung, and Y.C. Lu, Neural Fuzzy Systems for Processing Numerical and Linguistic Information. K.C. Chan, Intelligent PID Controllers. B.-S. Chen and Y.-M. Cheng, Fuzzy Theory Via Control Techniques for Tracking Algorithms for Uncertain Nonlinear Systems. Y.R. Hwang, Fuzzy Smoothing Algorithms for Control Systems. P. Lee, G.J. Jeon, and K.K. Lee, Fuzzy Theory in the Validity of Complexity Reduction by Means of Decomposition of Multivariable Fuzzy Systems. F. Klawonn and R. Kruse, Control Systems Based on Knowledge-Based Interpolation. B.M. Novakovic, Adaptive Fuzzy Logic Control Synthesis Without Any Fuzzy Rule Base. C.-Y. Su and Y. Stepanenko, Fuzzy Adaptive Control Techniques for Nonlinear Systems and Their Application. Y.-M. Park, U.-C. Moon, and K.Y. Lee, On-Line Self-Organizing Fuzzy Logic Controller Using Fuzzy Auto-Regressive Moving Average (FARMA) Model. T. Jiang and Y. Li, Fuzzy Theory in Generalized Defuzzification Methods and Their Utilization in Parameter Learning Techniques. R. Palm, Optimal Adjustment of Scaling for Fuzzy Controllers Using Correlation Techniques. H. Narazaki and A.L. Ralescu, Translation and Extraction Problems for Neural and Fuzzy Systems: Bridging Over Distributed Knowledge Representation in Multi-Layered Neural Networks and Local Knowledge Representations in Fuzzy Systems. J. Anbe and T. Tobi, Fuzzy Set System Applications to Medical Diagnosis. Subject Index.
520 $a Applications of fuzzy theory (often referred to as "fuzzy logic") are maturing and multiplying at a phenomenal rate, and a comprehensive treatment of these real-world techniques and applications is now very timely. Unlike traditional computer logic involving clear true or false decisions, a fuzzy logic system chooses what is most true after "considering" several contributing and possibly conflicting variables. Examples of practical devices using fuzzy computer decision-making are thermostats that respond to a combination of temperature and humidity (comfort factors), an elevator that considers how crowded a car is rather than just its proximity to the desired floor, and a camera that integrates the variables affecting picture quality. These volumes will present a logical progression from implementation and modeling techniques to industrial/commercial applications to fuzzy neural and adaptive fuzzy systems.
588 $a Description based on print version record.
650 0 $a Automatic control. $3 182078
650 0 $a Control theory. $3 182248
650 0 $a System analysis. $3 182013
650 0 $a Fuzzy systems. $3 182084
650 4 $a Fuzzy logic. $3 181981
650 6 $a Logique floue. $3 586180
650 6 $a Syst�emes flous. $3 586181
650 1 7 $a Fuzzy theorie. $2 gtt $3 586182
650 7 $a Syst�emes flous $x Technique. $2 ram $3 586183
650 7 $a Syst�emes flous $x Applications industrielles. $2 ram $3 586184
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Leondes, Cornelius T. $3 206179
776 0 8 $i Print version: $t Fuzzy theory systems. $d San Diego, CA : Academic Press, 1999 $z 0124438709 $z 9780124438705 $w (DLC) 98089309 $w (OCoLC)40611070
856 4 0 $3 ScienceDirect $u http://www.sciencedirect.com/science/book/9780124438705