000823605 000__ 05918cam\a2200529Mu\4500 000823605 001__ 823605 000823605 005__ 20230306144008.0 000823605 006__ m\\\\\o\\d\\\\\\\\ 000823605 007__ cr\un\nnnunnun 000823605 008__ 170916s2017\\\\sz\\\\\\ok\\\\000\0\eng\d 000823605 019__ $$a1003317613$$a1003515816$$a1003698453 000823605 020__ $$a9783319617534 000823605 020__ $$a3319617532 000823605 020__ $$z9783319617527 000823605 020__ $$z3319617524 000823605 035__ $$aSP(OCoLC)on1004196265 000823605 035__ $$aSP(OCoLC)1004196265$$z(OCoLC)1003317613$$z(OCoLC)1003515816$$z(OCoLC)1003698453 000823605 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dYDX$$dN$T$$dGW5XE$$dOCLCF$$dOCLCO$$dUAB$$dOCLCQ$$dNJR$$dU3W$$dCAUOI 000823605 049__ $$aISEA 000823605 050_4 $$aTA1-2040 000823605 08204 $$a620 000823605 1001_ $$aCeberio, Martine. 000823605 24510 $$aConstraint Programming and Decision Making. 000823605 260__ $$aCham :$$bSpringer International Publishing,$$c2017. 000823605 300__ $$a1 online resource (133 pages). 000823605 336__ $$atext$$btxt$$2rdacontent 000823605 337__ $$acomputer$$bc$$2rdamedia 000823605 338__ $$aonline resource$$bcr$$2rdacarrier 000823605 4901_ $$aStudies in Systems, Decision and Control ;$$vv. 100 000823605 500__ $$aPositive Semidefiniteness and Positive Definiteness of a Linear Parametric Interval Matrix. 000823605 504__ $$aReferencesConstraint Approach to Multi-objective Optimization; 1 Formulation of the Problem; 2 Analysis of the Problem and Two Main Ideas; References; From Global to Local Constraints: A Constructive Version of Bloch's Principle; 1 Bloch's Principle: Formulation of the Problem; 2 Bloch's Principle: General Formalization; 3 Bloch's Principle: A Constructive Version; References; Optimizing pred (25) Is NP-Hard; 1 Formulation of the Problem; 2 Main Result and Its Proof; References; Range Estimation Under Constraints Is Computable Unless There Is a Discontinuity. 000823605 5050_ $$aPreface; References; Contents; Why Deep Neural Networks: A Possible Theoretical Explanation; 1 Formulation of the Problem; 2 Why Deep Neural Networks: Our Explanation; 3 Conclusion; References; Abstract Argumentation Frameworks to Promote Fairness and Rationality in Multi-experts Multi-criteria Decision Making; 1 Introduction; 2 Preliminary Notions; 2.1 Multi-criteria Decision Making (MCDM); 2.2 Argumentation Frameworks; 3 Proposed Model for MEMCDM Using Argumentation Frameworks; 3.1 Arguments; 3.2 Attacks; 4 A Simple Example; 4.1 Towards Decision Making; 5 Conclusion and Future Work. 000823605 5058_ $$a1 Need for Range Estimation Under Constraints2 Known Results: Brief Reminder; 3 New Result: Discontinuity Is the only Obstacle to Computing underlineY and overlineY; References; Towards a Physically Meaningful Definition of Computable Discontinuous and Multi-valued Functions (Constraints); 1 Formulation of the Problem; 2 Towards a New Definition of Computable Discontinuous and Multi-valued Functions; 3 Properties of the New Definition; References; Algebraic Product is the only T-norm for Which Optimization Under Fuzzy Constraints is Scale-Invariant; 1 Formulation of the Problem. 000823605 5058_ $$a2 Main ResultsReferences; Comparing Operation Points in Linear Programming with Fuzzy Constraints; 1 Introduction; 2 The Fuzzy Linear Programming Model; 3 Concepts of Optimality Under Fuzzy Uncertainty; 3.1 Fuzzy Global Optimal Solution; 4 Ranking a Crisp Solution; 4.1 Operation Points; 4.2 Application Example; 5 Concluding Remarks; References; On Modeling Multi-experts Multi-criteria Decision-Making Argumentation and Disagreement: Philosophical and Computational Approaches Reconsidered; 1 Introduction; 2 Conceptualizing Disagreement Among Experts as Disagreement Among Epistemic Peers. 000823605 5058_ $$a3 Expert Disagreement: Epistemic and Pragmatic Rationality3.1 Epistemic Rationality: A More Subtle Focus of Disagreement on Epistemic Justification; 3.2 Pragmatic Rationality; 3.3 Synchronic and Diachronic Rationality, Global and Local; 4 Computational Modeling: Descriptive Constraints for Epistemic and Pragmatic Disagreements; 5 Preliminary Notions About Argumentation Frameworks and MEMCDM; 5.1 Arguments; 5.2 Attacks; 6 How Epistemic and Pragmatic Disagreements Can Help MEMCDM; 7 What's Next?; References. 000823605 506__ $$aAccess limited to authorized users. 000823605 520__ $$aThis book describes new algorithms and ideas for making effective decisions under constraints, including applications in control engineering, manufacturing (how to optimally determine the production level), econometrics (how to better predict stock market behavior), and environmental science and geosciences (how to combine data of different types). It also describes general algorithms and ideas that can be used in other application areas. The book presents extended versions of selected papers from the annual International Workshops on Constraint Programming and Decision Making (CoProd'XX) from 2013 to 2016. These workshops, held in the US (El Paso, Texas) and in Europe (Würzburg, Germany, and Uppsala, Sweden), have attracted researchers and practitioners from all over the world. It is of interest to practitioners who benefit from the new techniques, to researchers who want to extend the ideas from these papers to new application areas and/or further improve the corresponding algorithms, and to graduate students who want to learn more – in short, to anyone who wants to make more effective decisions under constraints. 000823605 588__ $$aDescription based on print version record. 000823605 650_0 $$aConstraint programming (Computer science) 000823605 650_0 $$aDecision making. 000823605 7001_ $$aKreinovich, Vladik. 000823605 77608 $$iPrint version:$$aCeberio, Martine.$$tConstraint Programming and Decision Making: Theory and Applications.$$dCham : Springer International Publishing, ©2017$$z9783319617527 000823605 830_0 $$aStudies in systems, decision and control. 000823605 852__ $$bebk 000823605 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-61753-4$$zOnline Access$$91397441.1 000823605 909CO $$ooai:library.usi.edu:823605$$pGLOBAL_SET 000823605 980__ $$aEBOOK 000823605 980__ $$aBIB 000823605 982__ $$aEbook 000823605 983__ $$aOnline 000823605 994__ $$a92$$bISE