LEADER 03173oam 2200601I 450 001 9910971701103321 005 20230124194307.0 010 $a1-04-015770-X 010 $a0-429-06675-9 010 $a1-4398-9117-6 024 7 $a10.1201/b12121 035 $a(CKB)3790000000016438 035 $a(EBL)1635974 035 $a(OCoLC)908670251 035 $a(SSID)ssj0001482362 035 $a(PQKBManifestationID)12621433 035 $a(PQKBTitleCode)TC0001482362 035 $a(PQKBWorkID)11412297 035 $a(PQKB)10611853 035 $a(Au-PeEL)EBL1635974 035 $a(CaPaEBR)ebr11167446 035 $a(OCoLC)1030993922 035 $a(OCoLC)1256146733 035 $a(FINmELB)ELB147470 035 $a(MiAaPQ)EBC1635974 035 $a(EXLCZ)993790000000016438 100 $a20180706d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 12$aA mathematical look at politics /$fby E. Arthur Robinson, Jr. and Daniel H. Ullman 205 $aFirst edition. 210 1$aBoca Raton, FL :$cCRC Press, an imprint of Taylor and Francis,$d2010. 215 $a1 online resource (472 p.) 300 $aDescription based upon print version of record. 311 08$a1-4398-1983-1 320 $aIncludes bibliographical references. 327 $aCover; Contents; Preface for the Reader; Preface for the Instructor; Part I: Voting; Introduction to Part I; 1: Two Candidates; 2: Social Choice Functions; 3: Criteria for Social Choice; 4: Which Methods Are Good?; 5: Arrow's Theorem; 6: Variations on the Theme; Notes on Part I; Part II: Apportionment; Introduction to Part II; 7: Hamilton's Method; 8: Divisor Methods; 9: Criteria and Impossibility; 10: The Method of Balinski and Young; 11: Deciding among Divisor Methods; 12: History of Apportionment in the United States; Notes on Part II; Part III: Conflict; Introduction to Part III 327 $a13: Strategies and Outcomes14: Chance and Expectation; 15: Solving Zero-Sum Games; 16: Conflict and Cooperation; 17: Nash Equilibria; 18: The Prisoner's Dilemma; Notes on Part III; Part IV: The Electoral College; Introduction to Part IV; 19: Weighted Voting; 20: Whose Advantage?; Notes on Part IV; Solutions to Odd-Numbered Exercises and Problems; Bibliography; Back Cover 330 3 $aWhat Ralph Nader's spoiler role in the 2000 presidential election tells us about the American political system. Why Montana went to court to switch the 1990 apportionment to Dean?s method. How the US tried to use game theory to win the Cold War, and why it didn?t work. When students realize that mathematical thinking can address these sorts of pressing concerns of the political world it naturally sparks their interest in the underlying mathematics. 606 $aPolitical science$xMathematics 615 0$aPolitical science$xMathematics. 676 $a320.01/513 700 $aRobinson$b Jr., E. Arthur$01829236 702 $aUllman$b Daniel H. 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910971701103321 996 $aA mathematical look at politics$94398419 997 $aUNINA LEADER 02166oam 22004693 450 001 9910972118103321 005 20251116152233.0 010 $a1-4020-8043-3 035 $a(PPN)238003728 035 $a(CKB)1000000000229047 035 $a(MiAaPQ)EBC3036090 035 $a(MiAaPQ)EBC3072275 035 $a(BIP)11134482 035 $a(BIP)10373274 035 $a(EXLCZ)991000000000229047 100 $a20240326d2004 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFlexible Neuro-Fuzzy Systems $eStructures, Learning and Performance Evaluation 205 $a1st ed. 210 1$aNew York, NY :$cSpringer,$d2004. 210 4$dİ2004. 215 $a1 online resource (294 pages) 311 08$a1-4020-8042-5 327 $aIntro -- Contents. 330 $aFlexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: Flexible Neuro-Fuzzy Systems is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering. 606 $aNeural networks (Computer science) 606 $aFuzzy systems 615 0$aNeural networks (Computer science) 615 0$aFuzzy systems. 676 $a006.3/2 700 $aRutkowski$b Leszek$0477299 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910972118103321 996 $aFlexible Neuro-Fuzzy Systems$94481505 997 $aUNINA