An Introduction to Fuzzy Logic Applications

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Springer Science & Business Media, Nov 30, 2001 - Computers - 219 pages
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Fuzzy logic provides a unique method of approximate reasoning in an imperfect world. This text is a bridge to the principles of fuzzy logic through an application-focused approach to selected topics in Engineering and Management. The many examples point to the richer solutions obtained through fuzzy logic and to the possibilities of much wider applications.
There are relatively few texts available at present in fuzzy logic applications. The style and content of this text is complementary to those already available. New areas of application are presented in a graded approach in which the underlying concepts are first described. The text is broadly divided into two parts which treat Processes and Materials and also System Applications.
The level enables a selection of the text to be made for the substance of a senior undergraduate level course. There is also sufficient volume and quality for the basis of a postgraduate course. A more restricted and judicious selection can provide the material for a professional short course.
 

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Contents

Comments and definitions
1
12 Fuzzy logic
2
122 Universe of discourse
3
123 Fuzzy set shapes
4
124 Propositions
5
125 The complementary FL set
6
132 Process selection
7
134 Integration of the FL system
8
511 Artificial neural networks ANN
119
Industrial engineering
122
62 Resource assignment
126
64 Clustered resources and demands
129
65 Clustering very fuzzy systems
132
66 Work study
136
661 Method study
137
662 Work measurement
142

15 Notation
9
Flow processes
10
22 NonNewtonian flow
15
23 FL Pipe flow design
18
24 Transport of solids
22
25 Mixing and dispersion
27
Thermal processes
37
31 Nonflow processes
38
32 Otto Diesel and compound cycles
41
33 Engine characteristics
44
34 Thermoflow processes
46
35 Joule cycle
48
36 Rankine cycle
50
37 Heat exchangers
54
38 Heat transfer coefficient
58
39 Solar collectors
61
Materials technology
66
41 Elastic bending
67
42 Elastic instability
72
43 Failure of an assembly
76
44 Polymeric solids
78
45 Press brake bending
84
46 Forging and extrusion
88
Automatic control
92
51 Secondorder linear systems
94
52 Controllers
95
53 Nonlinear systems
100
54 Fuzzy logic control FLC
101
55 Secondorder nonlinear processes
106
56 More general parameters
110
57 Lookup tables
111
58 Hierarchical and adaptive FLC
113
59 Hierarchical or distributed FLC
114
510 Autoadaptive FLC
115
67 Process planning
148
68 Inventory control
150
69 Batch processing
152
610 Cyclic batches
154
611 Fuzzy batch processing
155
612 GANTT charts
157
613 Process and product quality
159
614 Benchmarking for quality
160
615 Quality control
164
616 Process quality control
165
Management science
170
72 Plant amortisation
176
73 Tender adjudication
178
74 Staff selection process
180
75 Supplier selection
184
76 Product and service quality
187
77 Future outcomes
191
78 Fuzzy actions and fuzzy states
194
79 Updating probabilities
196
A Guide to Fuzzy Logic
198
A2 Defuzzification
199
A4 Composition
200
AS Extension principle
201
A6 Principal sets
202
A7 Grouping by similitude
203
A8 Grouping by composition
206
A9 Intergroup relations
207
A10 Multiple antecedents
208
A11 Adjectival processes
209
A12 Correlation metric
210
Further reading list
212
Index
214
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About the author (2001)

JOHN HARRIS is the founder of PearTree, a company that designs and builds more than 150 treehouses in living trees each year across Britain and Europe. He lives in Fenwick, U.K. with his wife, two sons, and a whole menagerie of animals. He was two years old when his father built him his first treehouse.