Fuzzy Logic Foundations and Industrial Applications is an organized edited collection of contributed chapters covering basic fuzzy logic theory, fuzzy linear programming, and applications. Special emphasis has been given to coverage of recent research results, and to industrial applications of fuzzy logic.
The chapters are new works that have been written exclusively for this book by many of the leading and prominent researchers (such as Ronald Yager, Ellen Hisdal, Etienne Kerre, and others) in this field. The contributions are original and each chapter is self-contained. The authors have been careful to indicate direct links between fuzzy set theory and its industrial applications.
Fuzzy Logic Foundations and Industrial Applications is an invaluable work that provides researchers and industrial engineers with up-to-date coverage of new results on fuzzy logic and relates these results to their industrial use.

1: Fuzzy Logic Foundations.- 1 A Unified View of Case Based Reasoning and Fuzzy Modeling.- 2 Open-Mindedness and Probabilities Versus Possibilities.- 3 Fuzzy Derivatives and Fuzzy Cauchy Problems Using Lp Metric.- 4 On The Classification and the Dependencies of the Ordering Methods.- 2: Fuzzy Logic Systems.- 5 Possibility Model and its Applications.- 6 Interactive Fuzzy Programming For Multiobjective 0-1 Programming Problems Through Genetic Algorithms With Double Strings.- 7 The Handling Of Fuzzy Objective Functions In (Multicriteria) Linear Programs.- 8 Making Decisions On Fuzzy Integer Linear Programming Problems.- 9 Information Diffusion Principle And Application In Fuzzy Neuron.- 3: Fuzzy Logic Industrial Applications.- 10 Some Application Examples of Fuzzy set Theory.- 11 Recent Successful Fuzzy Logic Applications In Industrial Automation.- 12 Fips-Foundations Of A New Tool For Process Control Problems.- 13 Industrial Applications Of Fuzzy Logic And Neural Networks In China.- 14 The Potential Of Fuzzy Logic Applications In Industry.- 15 Fuzzy Logic Applications In Nuclear Industry.