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OverviewThis book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex systems, it is possible to create easy-to-compute explicit analytical models instead of time-consuming computer simulations. Usually, however, analytical models are designed on a case-by-case basis, and there is a scarcity of general techniques for designing such easy-to-compute models. This book fills this gap by providing general recommendations for using analytical techniques in all stages of system design, implementation, testing, and monitoring. It also illustrates these recommendations using applications in various domains, such as more traditional engineering systems, biological systems (e.g., systems for cattle management), and medical and social-related systems (e.g., recommender systems). Full Product DetailsAuthor: Griselda Acosta , Eric Smith , Vladik KreinovichPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 2020 ed. Volume: 286 Weight: 0.454kg ISBN: 9783030464158ISBN 10: 3030464156 Pages: 101 Publication Date: 07 May 2021 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Undergraduate Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsFormulation of the Problem.- Analytical Techniques for Describing User Preferences: 80/20 Rule Partially Explains 7 Plus Minus 2 Law.- Analytical Techniques Help Enhance the Results of Data Mining: Case Study of Cow Insemination.- Case When Analytical Techniques Invalidate the Conclusions of Data Mining: Reversed Flynn Effect of Decreasing IQ Test Scores.- Analytical Techniques for Taking into Account Several Aspects of a Designed Systems: Case Study of Computation-Communication Tradeoff.- Analytical Techniques for Testing: Optimal Distribution of Testing Resources Between Different System Levels.- Index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |