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.

Inhalt

1. Comments and definitions.- 1.1 Classical logic basics.- 1.2 Fuzzy logic.- 1.3 Knowledge engineering.- 1.4 Information and intelligence.- 1.5 Notation.- 1. Processes and Materials.- 2. Flow processes.- 3. Thermal processes.- 4. Materials technology.- 2. Systems Applications.- 5. Automatic control.- 6. Industrial engineering.- 7. Management science.- Appendix: A guide to fuzzy logic.- A1 Notation.- A2 Defuzzification.- A3 Cartesian product.- A4 Composition.- AS Extension principle.- A6 Principal sets.- A7 Grouping by similitude.- A8 Grouping by composition.- A9 Inter-group relations.- A10 Multiple antecedents.- A11 Adjectival processes.- A12 Correlation metric.- Further reading list.