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.
The concept of fuzzy sets is one of the most fundamental and influential tools in computational intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, pattern classification, reasoning, planning, and computer vision. This book bridges the gap that has developed between theory and practice. The authors explain what fuzzy sets are, why they work, when they should be used (and when they shouldn't), and how to design systems using them. The authors take an unusual top-down approach to the design of detailed algorithms. They begin with illustrative examples, explain the fundamental theory and design methodologies, and then present more advanced case studies dealing with practical tasks. While they use mathematics to introduce concepts, they ground them in examples of real-world problems that can be solved through fuzzy set technology. The only mathematics prerequisites are a basic knowledge of introductory calculus and linear algebra.
The importance of grasslands. The classification and distribution of grasses. The world's major tropical grasslands. Performance and management of natural pasture. The case for improved pastures to replace indigenous species. Pasture improvement by introducing new species. Selection of pasture grass species, seed purchase and storage, and fertilizer needs. Pasture leys. Management of improved grassland in semi-intensive and intensive production systems. Reseeding the arid and semi-arid range. Handling difficult grasses. Grasses for special purposes. Utilization and conservation of forage. The chemical compostion and nutritive value of tropical grasses. The tropical grasses catalogue. Common names of tropical grasses. Common names of other plants. Index. Illustrations.
On 25 November 1975, representatives of five South American intelligence services held a secret meeting in the city of Santiago, Chile. At the end of the gathering, the participating delegations agreed to launch Operation Condor under the pretext of coordinating counterinsurgency activities, sharing information to combat leftist guerrillas and stopping an alleged advance of Marxism in the region. Condor, however, went much further than mere exchanges of information between neighbours. It was a plan to transnationalize state terrorism beyond South America. This book identifies the reasons why the South American military regimes chose this strategic path at a time when most revolutionary movements in the region were defeated, in the process of leaving behind armed struggle and resuming the political path. One of Condor’s most intriguing features was the level of cooperation achieved by these governments considering the distrust, animosity and historical rivalries between these countries’ armed forces. This book explores these differences and goes further than previous lines of inquiry, which have focused predominantly on the conflict between Latin American leftist guerrillas and the armed forces, to study the contribution made by other actors such as civilian anticommunist figures and organizations, and the activities conducted by politically active exiles and their supporters in numerous countries. This broader approach confirms that the South American dictatorships launched the Condor Plan to systematically eliminate any kind of opposition, especially key figures and groups involved in the denunciation of the regimes’ human rights violations.
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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