Practical Applications of Fuzzy TechnologiesHans-Jürgen Zimmermann Springer Science & Business Media, 30/11/1999 - 667 páginas Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments. |
No interior do livro
Resultados 6-10 de 40
Página 100
O conteúdo desta página está restrito.
O conteúdo desta página está restrito.
Página 101
O conteúdo desta página está restrito.
O conteúdo desta página está restrito.
Página 146
O conteúdo desta página está restrito.
O conteúdo desta página está restrito.
Página 207
O conteúdo desta página está restrito.
O conteúdo desta página está restrito.
Página 208
O conteúdo desta página está restrito.
O conteúdo desta página está restrito.
Índice
FUZZY CONTROL IN THE PROCESS INDUSTRY COMMON PRACTICE AND CHALLENGING PERSPECTIVES | 3 |
12 DESIGN OF SIMPLE FUZZY CONTROLLERS | 7 |
121 Structure of a fuzzy controller | 11 |
122 Table based controller | 24 |
123 Inputoutput mapping | 26 |
124 TikagiSugeno type controller | 29 |
125 Summary | 31 |
13 ADVANCED FUZZY CONTROL IN THE PROCESS INDUSTRY | 32 |
1042 Fuzzy control applications | 330 |
1043 Expert systems | 332 |
106 References | 333 |
APPROXIMATE REASONING IN COMPUTERAIDED MEDICAL DECISION SYSTEMS | 337 |
112 CRITICAL SURVEY OF SIGNIFICANT SYSTEMS | 338 |
general internal medicine | 340 |
diet monitoring | 344 |
1124 Fuzzy arithmetic | 346 |
131 Advanced control schemes based on simple controllers | 33 |
133 Fuzzy internal model control | 34 |
134 Fuzzy modelbased predictive control | 35 |
135 Fuzzy decision making in control | 39 |
136 MIMO aspects of fuzzy control | 41 |
14 HIGH LEVEL PROCESS CONTROL | 43 |
141 High level control expectations | 45 |
142 High level control configurations | 46 |
143 Design of high level control strategies | 48 |
144 Installation of high level control strategies | 53 |
145 Conclusion | 54 |
FUZZY SETS IN ENGINEERING DESIGN | 57 |
22 FUZZY SETS IN ENGINEERING DESIGN METHODOLOGY | 59 |
222 A Fuzzy Design Method FDM | 68 |
223 Fuzzy Design by Evolutionary Strategies Combined with Fuzzy MADM | 83 |
23 IMPLEMENTATION OF FUZZY DESIGN METHODS SOFTWARE TOOLS FOR FUZZY ENGINEERING DESIGN | 85 |
232 The KONWERK Workbench | 89 |
24 FUZZY SETS IN ENGINEERING DESIGN APPLICATIONS | 93 |
242 Preliminary Design and Configuration of Future Space Launch Systems | 100 |
243 Configuration of a Personal Computer | 105 |
References | 112 |
SUPERVISION FAULTDETECTION AND FAULTDIAGNOSIS METHODS Advanced Methods and Applications | 119 |
32 FAULT DETECTION AND FAULT DIAGNOSIS | 120 |
321 Analytic symptom generation | 121 |
322 Heuristic symptom generation | 122 |
MODELBASED FAULT DETECTION METHODS | 123 |
332 Fault detection with parameter estimation | 127 |
333 Fault detection with state estimation and observers | 128 |
334 Fault detection with parity equations | 132 |
335 Fault detection with signal models | 134 |
336 Change detection and symptom generation | 135 |
337 Comparison of faultdetection methods | 136 |
34 FAULTDIAGNOSIS METHODS | 138 |
342 Diagnosis using classification methods | 140 |
343 Diagnosis using reasoning methods | 141 |
35 APPLICATIONS | 149 |
352 Fault diagnosis of a machine tool feed drive with fuzzy reasoning | 153 |
REFERENCES | 155 |
QUALITY CONTROL AND MAINTENANCE | 161 |
42 OVERVIEW OF INDUSTRIAL APPLICATIONS OF FUZZY TECHNIQUES IN QUALITY CONTROL AND MAINTENANCE | 162 |
43 PRESENTATION OF APPLICATIONS FOR QUALITY CONTROL | 164 |
432 NonDestructive Testing of MetalBondedtoRubber Components | 166 |
433 An Optical Color Measuring System based on a Fuzzy Classifier | 168 |
44 APPLICATIONS OF FUZZY LOGIC FOR MAINTENANCE | 171 |
442 Diagnosis Systems and their Integration into the SiteWide Production and Maintenance Management | 176 |
443 Maintenance of petrochemical plants | 178 |
45 CONCLUSION AND FUTURE PROSPECTIVES | 182 |
USING FUZZY LOGIC FOR MOBILE ROBOT CONTROL | 185 |
52 FUZZY BEHAVIORS | 187 |
53 IMPLEMENTATION OF A FUZZY BEHAVIOR | 189 |
54 TAKING GOALS INTO CONSIDERATION | 191 |
55 BLENDING OF BEHAVIORS | 193 |
56 EXPERIMENTS | 196 |
57 DISCUSSION | 200 |
58 CONCLUSIONS | 202 |
References | 203 |
CIVIL ENGINEERING Including Earthquake Engineering | 207 |
61 HISTORIC PERSPECTIVE | 208 |
62 SCOPE OF APPLICATIONS | 209 |
63 HOW FUZZY SETS ARE APPLIED | 213 |
641 Structured processing | 214 |
642 Unstructured processing | 215 |
643 Expert Systems | 224 |
644 Intelligent Systems | 227 |
65 OTHER RESOURCES | 231 |
66 FUTURE OUTLOOK | 232 |
662 More comparative and modeling studies | 233 |
663 More comparison of models with experiments | 234 |
664 More applications of genetic and intelligent algorithms | 235 |
References | 236 |
ECOLOGICAL MODELING AND DATA ANALYSIS | 247 |
72 FUZZY APPROACH TO ECOLOGICAL MODELING AND DATA ANALYSIS | 248 |
73 FUZZY CLUSTER ANALYSIS | 250 |
731 A Fuzzy Cluster Analysis of Chemicals According to their Ecotoxicological Properties | 251 |
74 FUZZY KNOWLEDGEBASED MODELS | 256 |
741 A Fuzzy KnowledgeBased Model of the Annual Production of Skylarks in Pure Crop Areas | 257 |
742 A Fuzzy KnowledgeBased Model of the Population Dynamics of The YellowNecked Mouse Apodemus Flavicollis in a Beech Forest | 261 |
75 FINAL REMARKS | 264 |
FUZZY SETS APPROACH TO SPATlAL ANALYSIS | 267 |
82 APPROXIMATE CHARACTERIZATION OF FUZZY SPATIAL CONCEPTS | 268 |
821 Linguistic Characterization of Distance | 269 |
822 Linguistic Characterization of Connection | 271 |
83 REGIONAL CONCEPTS AND REGIONALIZATION | 273 |
832 Regional Assignment | 277 |
833 Grouping for Regions | 279 |
84 PREFERENCE STRUCTURE AND SPATIAL EQUILIBRIUM ANALYSIS UNDER FUZZINESS | 280 |
841 Fuzzy Preference Structure | 282 |
842 Fuzzy Utility and Optimization | 283 |
85 SPATIAL PLANNING THROUGH FUZZY OPTIMIZATION | 285 |
86 SPATIAL INFORMATION AND INTELLIGENT SPATIAL DECISION SUPPORT SYSTEMS | 287 |
861 Geographic Information Systems | 288 |
862 Intelligent Spatial Decision Support Systems | 290 |
87 CONCLUSION | 291 |
REFERENCES | 294 |
CHEMISTRY AND CHEMICAL ENGINEERING | 301 |
92 APPLICATION AREAS | 302 |
922 Application of Fuzzy Logic in Theoretical Chemistry | 307 |
923 Application of Fuzzy Logic in Medical Chemistry | 310 |
924 Chemical Engineering | 313 |
93 SUMMARY AND OUTLOOK | 315 |
References | 316 |
II | 319 |
FUZZY LOGIC AND POSSIBILITY THEORY IN BIOMEDICAL ENGINEERING | 321 |
An intelligent decision supportand alarm system for cardiac anaesthesia | 322 |
A fuzzy controller for a total artificial heart TAH | 326 |
104 Other applications of fuzzy logic and possibility theory in biomedical engineering | 328 |
1125 Fuzzy pattern matching | 347 |
1127 RENOIRMILORD | 350 |
1128 Cardioanaesthesia monitoring | 351 |
1129 Other Systems | 352 |
113 CONCLUDING DISCUSSION | 355 |
References | 358 |
IMAGE PROCESSING IN MEDICINE | 363 |
122 NUMERICAL PATTERN RECOGNITION | 365 |
123 PERFORMANCE EVALUATION | 368 |
124 FEATURE EXTRACTION | 371 |
125 IMAGE SEGMENTATION | 373 |
TRACK USA | 375 |
TRACK USB | 385 |
TRACK Su | 387 |
129 DIGITAL MAMMOGRAPHY | 390 |
1210 DATABASES FOR DIGITAL MAMMOGRAPHY | 392 |
1211 A TYPICAL MAMMOGRAPHIC ANALYSIS SYSTEM | 395 |
1212 THREE DIMENSIONAL APPLICATIONS | 399 |
1213 CONCLUSIONS AND DISCUSSION | 405 |
REFERENCES | 409 |
III | 417 |
STRATEGIC PLANNING | 419 |
132 FUZZY PORTFOLIO ANALYSIS | 421 |
133 HIERARCHICAL STRUCTURES OF FUZZY RATINGS | 426 |
134 A FUZZY LINGUISTIC APPROACH IN STRATEGIC PLANNING OF CIM IMPLEMENTATION | 435 |
135 FUZZY EXPERT SYSTEMS IN STRATEGIC PLANNING | 438 |
136 SUMMARY | 442 |
DECISION AND PLANNING IN RESEARCH AND DEVELOPMENT | 445 |
142 STRATEGIC PLANNING OF RESEARCH AND DEVELOPMENT | 446 |
143 SELECTION OF RD PROJECTS AND PROGRAMS | 451 |
144 RD PROJECT MANAGEMENT IN UNCERTAIN ENVIRONMENTS | 463 |
145 SIMULTANEOUS ENGINEERING CONFIGURATION DESIGN | 471 |
146 CONCLUSION | 473 |
REFERENCES | 474 |
PRODUCTION PLANNING AND SCHEDULING FUZZY AND CRISP APPROACHES | 479 |
152 MANAGEMENT OF IMPRECISION | 481 |
153 FUZZY EXPERT SYSTEMS | 482 |
1531 MODULES OF AN EXPERT SYSTEM | 483 |
154 KNOWLEDGEBASED SYSTEMS | 485 |
155 AGGREGATE PRODUCTION PLANNING AND DETAILED SCHEDULING | 487 |
1551 DETAILED SCHEDULING PROBLEMS | 488 |
1552 CLASSIFICATION OF SCHEDULING PROBLEMS | 490 |
1553 NOWAIT AND BLOCKING PRODUCTION PLANNING AND SCHEDULING | 492 |
1554 EXAMPLES OF CLASSICAL EXPERT SYSTEMS | 493 |
156 DETAILED FUZZY PRODUCTION PLANNING AND SCHEDULING | 503 |
157 FUZZY SYSTEMS FOR JUST IN TIME JIT PRODUCTION PLANNING AND SCHEDULING | 510 |
1571 PUSH AND PULL SYSTEMS | 511 |
158 CLUSTER ANALYSIS IN PRODUCTION PLANNING AND SCHEDULING | 513 |
1581 PARTITIONING IN CLASSICAL PRODUCTION PLANNING AND SCHEDULING | 515 |
1582 GROUP TECHNOLOGY | 516 |
1583 LOT SIZING | 517 |
1510 REFERENCES | 518 |
FUZZY SETS METHODOLOGIES IN ACTUARIAL SCIENCE | 531 |
162 UNDERWRITING | 535 |
163 USING FUZZY ACTUARIAL PRESENT VALUES AND FUZZY ARITHMETIC | 536 |
164 RISK AND CLAIM CLASSIFICATION | 539 |
165 PROPERTYCASUALTY INSURANCE PRICING | 544 |
166 FUZZY TAXES | 546 |
167 THE FUTURE OF FUZZY SETS METHODS IN ACTUARIAL SCIENCE | 549 |
IV | 555 |
FUZZY SET THEORY AND APPLICATIONS IN PSYCHOLOGY | 557 |
172 GRADED CATEGORIES AND FUZZY CONCEPTS | 558 |
173 MEASUREMENT AMD DATA ANALYSIS | 561 |
174 MODELING LINGUISTIC VARIABLES | 563 |
175 KNOWLEDGE REPRESENTATION AND CATEGORIZATION | 568 |
176 PERCEPTION | 572 |
177 LANGUAGE PROCESSING | 574 |
178 CONCLUSION | 576 |
References | 577 |
V | 587 |
FUZZY SETS IN HUMAN FACTORS AND ERGONOMICS | 589 |
182 MODELS OF HUMANMACHINEENVIRONMENT SYSTEMS | 591 |
1822 The Human Functioning | 592 |
1823 Assessment of Human Workload | 595 |
184 HUMANMACHINE SYSTEM AS A FUZZY SYSTEM | 596 |
185 FUZZINESS AND HUMANSYSTEM INCOMPATIBILITY | 597 |
186 RECENT APPLICATIONS OF FUZZY METHODOLOGIES IN HUMAN FACTORS | 598 |
1862 Ergonomic Fuzzincss in HumanComputer Interaction | 599 |
1863 Fuzzy Modeling of Physical Tasks | 604 |
1864 Modeling of Workrelated Musculoskcletal Disorders | 607 |
187 FUZZY SYSTEMS IN HUMANMACHINE RESEARCH | 611 |
1872 Modeling of Human Stress | 612 |
188 ASSESSSMENT OF MENTAL WORKLOAD | 613 |
1882 Modeling of Human Cognitive Processes | 614 |
189 HUMANROBOT INTERACTION | 616 |
617 | |
FUZZY SYSTEM DEVELOPMENT SOFTWARE METHODOLOGY AND DESIGN TOOLS | 623 |
192 SYSTEM DEVELOPMENT LIFE CYCLE MODEL | 624 |
1921 Fuzzy controllers in the framework of life cycle model design issues | 626 |
193 CLASSES OF SOFTWARE RESOURCES | 628 |
194 HARDWARE VERSUS SOFTWARE IMPLEMENTATION | 629 |
1952 FUZZY LOGIC DESIGNER ver 10 | 631 |
1953 FuzzyTECH 30 Explorer Edition | 632 |
1954 Linguistic Fuzzy Logic Controller for Education LFLCedu ver 10 | 634 |
1955 Fuzzy Logic Development Kit FULDEK | 636 |
1956 MATRKXSystemBuild | 637 |
1957 A Fuzzy Logic Knowledge base generator for the MC68HC11 and MCH68HC05 Inference Engines | 639 |
1959 FuziCalcver 100 for Microsoft Windows | 640 |
19510 FUZZY DECISIONMAKER ver 21 | 641 |
19511 DataEngine ver 12 | 642 |
19512 RTFCM ver 14 | 643 |
19513 Winrosa | 644 |
196 CONCLUSIONS | 646 |
647 | |
Outras edições - Ver tudo
Practical Applications of Fuzzy Technologies Hans-Jürgen Zimmermann Pré-visualização indisponível - 2012 |
Palavras e frases frequentes
aggregation algorithm analysis Antonsson applications of fuzzy approach approximate reasoning Artificial Intelligence behavior Bezdek civil engineering classification combination complex concepts crisp defined defuzzification degree described engineering design error estimation evaluation example expert system fault diagnosis Figure fuzzy clustering fuzzy controller fuzzy logic fuzzy models fuzzy relations fuzzy rules fuzzy set theory Fuzzy Systems Geographic Information Systems goals heuristic hierarchy high level control human IEEE implemented imprecise inference input interactions Journal knowledge base knowledge-based label Leung linear linguistic variables mathematical measures membership functions membership values methodology methods module MYCIN neural networks operator optimization output parameters patient pattern recognition performance PID controller pixel possible Prade preference problem production planning programming regions robot rule base Salski segmentation sensor Sets and Systems signal spatial structure symptoms task techniques Türkşen uncertainty vector Zadeh Zimmermann