Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic proƯ vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The …
This book contains introductory material to neuro-fuzzy systems. Its main purpose is to explain the information processing in mostly-used fuzzy inference systems, neural networks and neuro-fuzzy systems. More than 180 figures and a large number of (numerical) exercises (with sol…
"This book contains introductory material to neuro-fuzzy systems. Its main purpose is to explain the information processing in mostly-used fuzzy inference systems, neural networks and neuro-fuzzy systems." "Numerous models treated in the book will help the reader to design his o…
Equip yourself with all the guidance you need to diagnose, stabilize and provide the initial management of MSK emergencies as effectively as possible. Optimize patient's disposition ranging from emergency department discharge to the operating room. A leading orthopaedic trauma s…
Equip yourself with all the guidance you need to diagnose, stabilize and provide the initial management of MSK emergencies as effectively as possible. Optimize patient.s disposition ranging from emergency department discharge to the operating room. A leading orthopaedic trauma s…
Equip yourself with all the guidance you need to diagnose, stabilize and provide the initial management of MSK emergencies as effectively as possible. Optimize patient's disposition ranging from emergency department discharge to the operating room. A leading orthopaedic trauma s…
This book starts with the basic concepts of fuzzy sets and progresses through¡a normative view on possibility distributions and OWA operators in multiple criteria decisions. ¡ Five applications ¡(that all build on experience from solving complex real world problems)¡of possibili…
