LEADER 01147nam0-2200301---450- 001 990008375620403321 005 20060913082925.0 035 $a000837562 035 $aFED01000837562 035 $a(Aleph)000837562FED01 035 $a000837562 100 $a20060913d1990----km-y0itay50------ba 101 0 $ager 102 $aDE 105 $aa-------001yy 200 1 $aRäumliche Probleme der Abfallwirtschaft aus geotechnischer Sicht :$eStruktur, Entwicklung und Zukunft der Hausmüll- und Rohstoffdeponierung dargestellt an einem Planungsmodell$fThomas Hess 210 $aWürzburg$cIm Selbstverlag des Instituts für Geographie der Universität Würzbrug in Verbindung mit der Geographischen Gesellschaft Würzburg$d1990 215 $aXIV, 310 p.$cill.$d21 cm 225 1 $aWürzburger geographische Arbeiten$v78 610 0 $aGermania$aAcque 700 1$aHess,$bThomas$0159921 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008375620403321 952 $aPeriod.026(078)$bIst. s.i.$fILFGE 959 $aILFGE 996 $aRäumliche Probleme der Abfallwirtschaft aus geotechnischer Sicht$9723297 997 $aUNINA LEADER 08204nam 22004453 450 001 9910497101303321 005 20210901203647.0 010 $a3-030-74970-3 035 $a(CKB)4100000012009045 035 $a(MiAaPQ)EBC6712960 035 $a(Au-PeEL)EBL6712960 035 $a(OCoLC)1265460583 035 $a(EXLCZ)994100000012009045 100 $a20210901d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Intelligence and Mathematics for Tackling Complex Problems 3 210 1$aCham :$cSpringer International Publishing AG,$d2021. 210 4$d©2022. 215 $a1 online resource (223 pages) 225 1 $aStudies in Computational Intelligence Ser. ;$vv.959 311 $a3-030-74969-X 327 $aIntro -- Preface -- Contents -- Q-Fuzzy Subtopology -- 1 Preliminaries -- 1.1 Commutative Quantales -- 1.2 Q-Valued Sets -- 1.3 Q-Fuzzy Topologies -- 1.4 Q-Preorders and Alexandroff Q-Topologies -- 2 How to Generate an Alexandroff Strong Q-Topology Constructively -- 3 Q-Fuzzy Subtopology -- 4 Conclusion -- References -- Lattice-Valued Algebraic Structures Via Residuated Maps -- 1 Introduction -- 2 Preliminaries -- 3 Compatible Lattice-Valued Functions and -Algebras -- 4 Conclusion -- References -- Invariant Aggregation and Pre-aggregation Functions -- 1 Introduction -- 2 Transformations of Fusion Functions -- 3 Transformations of Fuzzy Integrals -- References -- Finite Model Property and Varieties of BL-Algebras -- 1 Introduction -- 2 BL-Algebras and Ordinal Sums -- 3 FMP for Varieties of BL-Algebras -- 4 Conclusions -- References -- Collection Integral on Infinite Spaces -- 1 Introduction -- 2 Preliminaries -- 3 Main Theorem and Examples -- 4 Countable Collections -- 5 Concluding Remarks -- References -- Duhamel Hereditary Integrals in Viscoelasticity -- 1 Introduction -- 2 Action Versus Reaction in Linear Viscoelastic Model -- 3 Constitutive Equations. Stress on Strain and Strain on Stress Dependence -- 4 Duhamel Hereditary Integral in Uniaxial Viscoelasticity. Maxwell Model -- 5 Conclusion -- References -- Weighted Penalty-Based Aggregation -- 1 Introduction -- 2 Penalty-Based Aggregation Functions -- 3 Weighted Penalty Functions -- 4 Concluding Remarks -- References -- Aggregation Operators in Fuzzy Relational Mathematical Morphology: Erosion and Dilation -- 1 Introduction -- 2 Preliminaries -- 2.1 Lattices, Quantales, Girard Quantales -- 2.2 L-Fuzzy Relations -- 3 Operators of Structured L-Fuzzy Relational Erosion and Dilation -- 4 Interrelations Between Fuzzy Relational Erosion and Dilation. 327 $a5 Aggregation of Fuzzy Relational Erosion and Fuzzy Relational Dilation Operators -- 5.1 (wedge,vee)-Aggregation -- 5.2 (vee,wedge)-Aggregation -- 5.3 Aggregation on the Base of a Product-Coproduct (,) Pair -- 6 Conclusion -- References -- Characterization of the Infimum of Classes Induced by an Attribute Reduction in FCA -- 1 Introduction -- 2 Preliminaries -- 3 Characterizing the Infimum of Classes -- 4 Conclusions and Future Work -- References -- Extensions of Fuzzy Measures Based on Double Generalization of the Lova?sz Extension Formula -- 1 Introduction -- 2 Preliminaries -- 3 Generalizations of the Lova?sz Extension Formula -- 4 Conclusion -- References -- On the Intuitionistic Fuzzy Representations of Rough Real Functions -- 1 Introduction -- 2 Pawlak Approximation Spaces on Intervals -- 3 Rough Real Functions and Their Representations -- 4 Intuitionistic Fuzzy Set Representations of Rough Real Functions -- 4.1 Basic Notions and Notations -- 4.2 Intuitionistic Fuzzy Sets Derived from Rough Real Functions -- 4.3 Basic Relations and Operations with Derived Intuitionistic Fuzzy Sets -- 5 Conclusion -- References -- Automatic Generation of Linguistic Descriptions of Electricity Consumption in the Buildings of a Large Institution -- 1 Introduction -- 2 Related Work -- 3 LPN Design to Describe Building Electrical Consumption -- 4 Conclusions and Future Work -- References -- On the Selection the Rule Membership Functions and Fuzzy Rule Interpolation -- 1 Introduction -- 2 Image Filtering Methods and Antecedent Generation -- 3 Rule Base Selection -- 4 Conclusion and Further Outlook -- References -- Linguistic Descriptions of Data Via Fuzzy Formal Concept Analysis -- 1 Introduction -- 2 Fuzzy Concept Lattices -- 3 Transforming Datasets Into Residuated Contexts -- 4 Linguistic Descriptions By Using Irreducibles Concepts -- 5 Conclusions and Future Work. 327 $aReferences -- Rough Sets and Topology in AST: A Study Via Higher-Order Fuzzy Logic -- 1 Introduction -- 2 Preliminaries -- 2.1 Alternative Set Theory -- 2.2 Rough Set Theory -- 2.3 Fuzzy Sets in Fuzzy Type Theory -- 3 Rough Sets and Topology in AST Via Fuzzy Type Theory -- 3.1 Figures -- 3.2 Rough Fuzzy Sets -- 3.3 Fuzzy Topology Based on the Fuzzy Equality -- 4 Conclusion -- References -- olgga: An On-Line Generation-Less Genetic Algorithm -- 1 Introduction -- 2 On-Line Generation-Less Genetic Algorithm -- 2.1 Algorithm Overview -- 2.2 Selection Process -- 3 Dynamic Optimization with olgga -- 4 Performance Measurement -- 5 Conclusion -- References -- Some Dynamical Properties of Higher-Order Fuzzy Cognitive Maps -- 1 Introduction -- 2 Higher-Order Fuzzy Cognitive Maps -- 3 Some Dynamical Properties of Higher-Order Fuzzy Cognitive Maps -- 4 Conclusions and Future Work -- References -- A Fuzzy Declarative Approach to Classify Unlabeled Short Texts Based on Automatically Constructed WordNet Ontologies -- 1 Introduction -- 2 Related Work -- 3 A Declarative Approach to Text Classification -- 3.1 Pre-Processing Stage -- 3.2 Automatic Construction of WordNet-Based Ontologies -- 3.3 Classification Method -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Automatic Recognition of Handwritten Urdu Characters -- 1 Introduction -- 1.1 The Problem Statement -- 2 Overview of the Literature -- 2.1 The Urdu Language -- 2.2 Modeling the Problem by Support Vector Machine -- 3 The Proposed Approach in Case of the Urdu Script -- 3.1 Data Preprocessing -- 3.2 Classification -- 4 Testing and Analysis -- 5 Conclusion and Future Work -- References -- Algorithms for Triggering General Regression Neural Network -- 1 Introduction -- 2 General Regression Neural Network -- 3 Learning Methods -- 4 Results and Discussion -- 5 Conclusions -- References. 327 $aLocal Binary Pattern-Based Fingerprint Matching -- 1 Introduction -- 2 System Overview -- 3 Results -- 4 Conclusions -- References -- Database Incident Response and Forensic Preparation Through the Performance Features -- 1 Introduction -- 2 Methodology -- 2.1 Database Performance Feature Selection -- 2.2 Correlation Analysis -- 2.3 Prediction Future Behaviour -- 2.4 Stability Analysis and Change Point Detection -- 3 Case-Study -- 4 Conclusion -- References -- Formal Concept Analysis for Detecting Criminal Patterns -- 1 Introduction -- 2 Preliminaries -- 3 Analysis of Bilbao Crime Dataset -- 4 Conclusions and Future Work -- References -- Detection of Fraudulent Credit Card Transactions by Computational Intelligence Models as a Tool in Digital Forensics -- 1 Introduction -- 2 Data Set -- 3 Computational Intelligence Models -- 4 Comparative Analysis -- 4.1 Verification Method -- 4.2 Parameter Settings for CI Models -- 4.3 Results and Discussion -- 5 Conclusions -- References -- Data Mining Techniques for the Analysis of Student's Admission Data -- 1 Introduction -- 2 Data Mining Process and Data Mining Techniques -- 3 Research Methodology -- 4 Data Analysis and Results -- 5 Conclusions and Future Work -- References. 410 0$aStudies in Computational Intelligence Ser. 608 $aElectronic books. 700 $aHarmati$b Istva?n A?$0938243 701 $aKo?czy$b La?szlo? T$0938244 701 $aMedina$b Jesu?s$0938245 701 $aRami?rez-Poussa$b Eloi?sa$0938246 801 0$bMiAaPQ 906 $aBOOK 912 $a9910497101303321 996 $aComputational Intelligence and Mathematics for Tackling Complex Problems 3$92113537 997 $aUNINA LEADER 03926oam 2200673I 450 001 9910954383703321 005 20170816135619.0 010 $a9781040079454 010 $a1040079458 010 $a9780429188374 010 $a0429188374 010 $a9781466556669 010 $a1466556668 024 7 $a10.1201/b16020 035 $a(CKB)2670000000394990 035 $a(EBL)1402688 035 $a(SSID)ssj0001040307 035 $a(PQKBManifestationID)11592788 035 $a(PQKBTitleCode)TC0001040307 035 $a(PQKBWorkID)11001677 035 $a(PQKB)10307777 035 $a(MiAaPQ)EBC1402688 035 $a(OCoLC)863136068 035 $a(OCoLC)1190651007 035 $a(OCoLC)on1190651007 035 $a(CaSebORM)9781466556683 035 $a(EXLCZ)992670000000394990 100 $a20180331d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aConstrained principal component analysis and related techniques /$fYoshio Takane, Professor Emeritus, McGill University Montreal, Quebec, Canada and Adjunct Professor at University of Victoria British Columbia, Canada 205 $a1st edition 210 1$aBoca Raton :$cChapman and Hall/CRC,$d2014. 210 4$d©2014 215 $a1 online resource (244 p.) 225 1 $aMonographs on statistics and applied probability ;$v129 300 $aDescription based upon print version of record. 311 08$a9781466556683 311 08$a1466556684 320 $aIncludes bibliographical references. 327 $aFront Cover; Contents; List of Figures; List of Tables; Preface; About the Author; Chapter 1 Introduction; Chapter 2 Mathematical Foundation; Chapter 3 Constrained Principal Component Analysis (CPCA); Chapter 4 Special Cases and Related Methods; Chapter 5 Related Topics of Interest; Chapter 6 Different Constraints on Different Dimensions (DCDD); Epilogue; Appendix; Bibliography; Back Cover 330 $aIn multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? What kind of benefits are we getting from them? Addressing these questions, Constrained Principal Component Analysis and Related Techniques shows how constrained PCA (CPCA) offers a unified framework for these approaches.The book begins with four concrete examples of CPCA that provide readers with a basic understanding of the technique and its applications. It gives a detailed account of two key mathematical ideas in CPCA: projection and singular value decomposition. The author then describes the basic data requirements, models, and analytical tools for CPCA and their immediate extensions. He also introduces techniques that are special cases of or closely related to CPCA and discusses several topics relevant to practical uses of CPCA. The book concludes with a technique that imposes different constraints on different dimensions (DCDD), along with its analytical extensions. MATLAB programs for CPCA and DCDD as well as data to create the book's examples are available on the author's website--$cProvided by publisher. 410 0$aMonographs on statistics and applied probability (Series) ;$v129. 606 $aPrincipal components analysis 606 $aMultivariate analysis 615 0$aPrincipal components analysis. 615 0$aMultivariate analysis. 676 $a519.5/35 686 $aMAT029000$2bisacsh 700 $aTakane$b Yoshio$01791322 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910954383703321 996 $aConstrained principal component analysis and related techniques$94328585 997 $aUNINA LEADER 02440oam 2200469zu 450 001 9910698114903321 005 20250717214808.0 035 $a(CKB)1000000000729459 035 $a(SSID)ssj0000445830 035 $a(PQKBManifestationID)12210723 035 $a(PQKBTitleCode)TC0000445830 035 $a(PQKBWorkID)10491283 035 $a(PQKB)10328229 035 $a(OCoLC)62386512 035 $a(EXLCZ)991000000000729459 100 $a20160829d2005 uy 101 0 $aeng 181 $ctxt 182 $cc 183 $acr 200 10$aGetting Ready for a Nuclear-Ready Iran 210 31$a[Place of publication not identified]$cStrategic Studies Institute U S Army War College Commandant AWCC DSI/Publications$d2005 215 $a1 volume $cdigital, PDF file 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a1-58487-211-X 327 $a1. Getting ready for a nuclear-ready Iran : report of the NPEC Working Group / Henry Sokolski -- 2. Arab security responses to a nuclear-ready Iran / Richard L. Russell -- 3. The nuclear capabilities and ambitions of Iran's neighbors / Wyn Q. Bowen, Joanna Kidd -- 4. Turkey, Iran and nuclear risks / Ian O. Lesser -- 5. The day after Iran gets the bomb / Kenneth R. Timmerman -- 6. Is the Begin doctrine still a viable option for Israel? / Shlomo Brom -- 7. Strategy for a nuclear Iran / Thomas Donnelly -- 8. Iran gets the bomb : then what? / George Perkovich, Silvia Manzanero -- 9. Reducing vulnerability of the Strait of Hormuz / Dagobert Brito, Amy Myers Jaffe -- 10. Deter and contain : dealing with a nuclear Iran / Michael Eisenstadt -- 11. Managing the Iranian threat to sea commerce diplomatically / Douglas E. Streusand -- 12. What transatlantic strategy on Iran? / The?re?se Delpech. 606 $aMilitary & Naval Science$2HILCC 606 $aLaw, Politics & Government$2HILCC 606 $aMilitary Science - General$2HILCC 607 $aIran$xMilitary policy 607 $aUnited States$xMilitary policy 615 7$aMilitary & Naval Science 615 7$aLaw, Politics & Government 615 7$aMilitary Science - General 700 $aSokolski$b Henry D$01151478 702 $aClawson$b Patrick$f1951- 712 02$aArmy War College (U.S.), Strategic Studies Institute Staff 801 0$bPQKB 906 $aBOOK 912 $a9910698114903321 996 $aGetting Ready for a Nuclear-Ready Iran$93124463 997 $aUNINA