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 Advances in Fuzzy Implication Functions (Studies in Fuzziness and Soft Computing), 9783642356766 (3642356761), Springer, 2013 Fuzzy implication functions are one of the main operations in fuzzy logic. They generalize the classical implication, which takes values in the set {0,1}, to fuzzy logic, where the truth values belong to the unit interval [0,1]. These functions are not only fundamental for fuzzy logic systems, fuzzy control, approximate reasoning and expert systems, but they also play a significant role in mathematical fuzzy logic, in fuzzy mathematical morphology and image processing, in defining fuzzy subsethood measures and in solving fuzzy relational equations. This volume collects 8 research papers on fuzzy implication functions. Three articles focus on the construction methods, on different ways of generating new classes and on the common properties of implications and their dependencies. Two articles discuss implications defined on lattices, in particular implication functions in interval-valued fuzzy set theories. One paper summarizes the sufficient and necessary conditions of solutions for one distributivity equation of implication. The following paper analyzes compositions based on a binary operation * and discusses the dependencies between the algebraic properties of this operation and the induced sup-* composition. The last article discusses some open problems related to fuzzy implications, which have either been completely solved or those for which partial answers are known. These papers aim to present today’s state-of-the-art in this area.
 Instant Citrix Security How-to With the rise of cloud computing and virtualization comes a whole new threat to business security. When dealing with highly confidential information you need your security to be bulletproof. This book will help you do that. "Instant Citrix Security: How-to" will allow you to achieve simplicity in security when dealing... Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner Using SAS Enterprise Miner, Barry de Ville's Decision Trees for Business Intelligence and Data Mining illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and... MALDI MS The introduction of the matrix-assisted laser desorption ionization technique (MALDI) changed mass spectrometry (MS) into a powerful tool for biomedical analysis that is now widely employed in academic as well as industrial laboratories. The 2002 Nobel Prize was awarded for the development of methods for identification and...

 iMovie HD and iDVD 5 for Mac OS X Bestselling author Jeff Carlson is back with a fully updated revision of the  iMovie Visual QuickStart Guide. Completely overhauled for iMovie HD and iDVD 5, this book uses step-by-step instructions and loads of illustrations to get readers up to speed quickly in the process of making movies with iMovie and creating Hollywood-quality... Introductory Economics (Fourth Edition) This carefully constructed textbook empowers the reader with an understanding of fundamental economic concepts. There are 31 “one-concept” chapters. Each short chapter highlights one economic principle. The student can study one concept and be reinforced by the learning process before proceeding to another. The writing is lucid... TestGoal: Result-Driven TestingSoftware testing is traditionally seen as a difficult and time consuming activity that is hard to embed in the software development process. This book provides a different view. It explains to stakeholders how testing can add value to software development and doing business, and provides the tester with practical information. TestGoal is not...