LEADER 03849nam 22006015 450 001 9910484556003321 005 20220303152001.0 010 $a3-030-46413-X 024 7 $a10.1007/978-3-030-46413-4 035 $a(CKB)4100000011231657 035 $a(MiAaPQ)EBC6191813 035 $a(DE-He213)978-3-030-46413-4 035 $a(PPN)24839620X 035 $a(EXLCZ)994100000011231657 100 $a20200506d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTowards Analytical Techniques for Systems Engineering Applications /$fby Griselda Acosta, Eric Smith, Vladik Kreinovich 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (102 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4182 ;$v286 300 $aIncludes index. 311 0 $a3-030-46412-1 327 $aFormulation 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. 330 $aThis book is intended for specialists in systems engineering interested in new, general techniques and for students and practitioners interested in using these techniques for solving specific practical problems. For many real-world, complex systems, it is possible to create easy-to-compute explicit analytical models instead of time-consuming computer simulations. Usually, however, analytical models are designed on a case-by-case basis, and there is a scarcity of general techniques for designing such easy-to-compute models. This book fills this gap by providing general recommendations for using analytical techniques in all stages of system design, implementation, testing, and monitoring. It also illustrates these recommendations using applications in various domains, such as more traditional engineering systems, biological systems (e.g., systems for cattle management), and medical and social-related systems (e.g., recommender systems). 410 0$aStudies in Systems, Decision and Control,$x2198-4182 ;$v286 606 $aControl engineering 606 $aComputational complexity 606 $aEngineering$xData processing 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aData Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11040 615 0$aControl engineering. 615 0$aComputational complexity. 615 0$aEngineering$xData processing. 615 14$aControl and Systems Theory. 615 24$aComplexity. 615 24$aData Engineering. 676 $a620.001171 700 $aAcosta$b Griselda$4aut$4http://id.loc.gov/vocabulary/relators/aut$01206774 702 $aSmith$b Eric$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKreinovich$b Vladik$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484556003321 996 $aTowards Analytical Techniques for Systems Engineering Applications$92783892 997 $aUNINA