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Towards Analytical Techniques for Systems Engineering Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Towards Analytical Techniques for Systems Engineering Applications/ by Griselda Acosta, Eric Smith, Vladik Kreinovich.
作者:	Acosta, Griselda.
其他作者:	Kreinovich, Vladik.
面頁冊數:	X, 101 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Data Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-46413-4
ISBN:	9783030464134

Towards Analytical Techniques for Systems Engineering Applications
Acosta, Griselda.

Towards Analytical Techniques for Systems Engineering Applications[electronic resource] /by Griselda Acosta, Eric Smith, Vladik Kreinovich. - 1st ed. 2020. - X, 101 p. 1 illus.online resource. - Studies in Systems, Decision and Control,2862198-4182 ;. - Studies in Systems, Decision and Control,27.

Formulation 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.

This 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).

ISBN: 9783030464134

Standard No.: 10.1007/978-3-030-46413-4doiSubjects--Topical Terms:

1226308
Data Engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Towards Analytical Techniques for Systems Engineering Applications
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