A self-contained treatment of fuzzy systems engineering, offering
conceptual fundamentals, design methodologies, development
guidelines, and carefully selected illustrative material
Forty years have passed since the birth of fuzzy sets, in which
time a wealth of theoretical developments, conceptual pursuits,
algorithmic environments, and other applications have emerged. Now,
this reader-friendly book presents an up-to-date approach to fuzzy
systems engineering, covering concepts, design methodologies, and
algorithms coupled with interpretation, analysis, and underlying
engineering knowledge. The result is a holistic view of fuzzy sets
as a fundamental component of computational intelligence and
human-centric systems.
Throughout the book, the authors emphasize the direct
applicability and limitations of the concepts being discussed, and
historical and bibliographical notes are included in each chapter
to help readers view the developments of fuzzy sets from a broader
perspective. A radical departure from current books on the subject,
"Fuzzy Systems Engineering" presents fuzzy sets as an enabling
technology whose impact, contributions, and methodology stretch far
beyond any specific discipline, making it applicable to researchers
and practitioners in engineering, computer science, business,
medicine, bioinformatics, and computational biology. Additionally,
three appendices and classroom-ready electronic resources make it
an ideal textbook for advanced undergraduate- and graduate-level
courses in engineering and science.
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