Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications, Pownuk
Автор: Olga Kosheleva; Karen Villaverde Название: How Interval and Fuzzy Techniques Can Improve Teaching ISBN: 3662559919 ISBN-13(EAN): 9783662559918 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction: Need for Interval and Fuzzy Techniques in Math and Science Education.-Part I How to Motivate Students.-How to Motivate Students? .-Need to Understand the Presence of Uncertainty: Emphasizing Paradoxes as a (Seemingly Paradoxical) Way to Enhance the Learning of (Strict) Mathematics .-Uncertainty-Related Example Explaining Why Geometry Is Useful: Geometry of a Plane .-Uncertainty-Related Example Explaining Why Calculus Is Useful: Example of the Mean Value Theorem .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Egyptian Fractions .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Mayan and Babylonian Arithmetics .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Babylonian Method of Computing the Square Root .-How to Enhance Student Motivations by Borrowing from Ancient Tradition: Russian Peasant Multiplication Algorithm .-How to Enhance Student Motivations by Borrowing from Modern Practices: Geometric Approach to Error-Less Counting .-How to Enhance Student Motivations by Borrowing from Modern Practices: Can We Learn Algorithms from People Who Compute Fast.-How to Enhance a General Student Motivation to Study: Asymmetric Paternalism .-Financial Motivation: How to Incentivize Students to Graduate Faster.-Part II In What Order to Present the Material.-In What Order to Present the Material.-Spiral Curriculum: Towards Mathematical Foundations.-How Much Time to Allocate to Each Topic?.-What is Wrong with Teaching to the Test: Uncertainty Techniques Help in Understanding the Controversy.-In What Order to Present the Material: Fractal Approach.-How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Education and Collaboration: Lessons from a Case Study.-In What Order to Present the Material Within Each Topic: Concrete-First vs. Abstract-First .-Part III How to Select an Appropriate Way of Teaching Each Topic.-How to Select an Appropriate Way of Teaching Each Topic .-What is the Best Way to Distribute the Teacher's Efforts Among Students .-What is the Best Way to Allocate Teacher's Efforts: How Accurately Should We Write on the Board? When Marking Comments on Student Papers? .-How to Divide Students into Groups so as to Optimize Learning .-How to Divide Students into Groups: Importance of Diversity and Need for Intelligent Techniques to Further Enhance the Advantage of Groups with Diversity in Problem Solving .-A Minor but Important Aspect of Teaching Large Classes: When to Let in Late Students? .-Part IV How to Assess Students, Teachers, and Teaching Techniques.-How to Assess Students, Teachers, and Teaching Techniques.-How to Assess Students: Rewarding Results or Rewarding Efforts?.-How to Assess Students: Assess Frequently.-How to Assess Students: Surprise Them.-How to Assess Individual Contributions to a Group Project.-How to Access Students's Readiness for the Next Class.-How to Assess Students: Beyond Weighted Average.-How to Assess a Class .-How to Assess Teachers.-How to Assess Teaching Teachniques.-How to Assess Universities: Defining Average Class Size in a Way Which Is Most Adequate for Teaching Effectiveness.-Conclusions .
Описание: On various examples ranging from geosciences to environmental sciences, thisbook explains how to generate an adequate description of uncertainty, how to justifysemiheuristic algorithms for processing uncertainty, and how to make these algorithmsmore computationally efficient.
Автор: Hung T. Nguyen; Vladik Kreinovich; Berlin Wu; Gang Название: Computing Statistics under Interval and Fuzzy Uncertainty ISBN: 3642445705 ISBN-13(EAN): 9783642445705 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: if the measured value is 1.0, and inaccuracy is bounded by 0.1, then the actual (unknown) value of the quantity can be anywhere between 1.0 - 0.1 = 0.9 and 1.0 + 0.1 = 1.1.
Автор: Silvio Ghilardi; Roberto Sebastiani Название: Frontiers of Combining Systems ISBN: 364204221X ISBN-13(EAN): 9783642042218 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 7th International Symposium on Frontiers of Combining Systems, FroCoS 2007, held in Trento, Italy, September 16-18, 2009. combination issues in rewriting and programming as well as in logical frameworks and theorem proving systems.
Автор: Alessandro Armando Название: Frontiers of Combining Systems ISBN: 3540433813 ISBN-13(EAN): 9783540433811 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 4th International Conference on Frontiers of Combining Systems held in Italy in 2002. The 14 revised full papers and 3 invited papers cover combination of logics, of constraint solving techniques, of decision procedures, combination problems and more.
Автор: F. Baader; K.U. Schulz Название: Frontiers of Combining Systems ISBN: 9401066434 ISBN-13(EAN): 9789401066433 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First International Workshop, Munich, March 1996
Автор: Enric Trillas; Piero P. Bonissone; Luis Magdalena; Название: Combining Experimentation and Theory ISBN: 3642442390 ISBN-13(EAN): 9783642442391 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In celebration of the work of Abe Mamdani, one of the founders of fuzzy logic control, this work examines the key challenges and opportunities facing fuzziness at present, as well as the potential obstacles to future progress in researching this vital field.
Автор: Christian Borgelt; Mar?a ?ngeles Gil; Jo?o M.C. So Название: Towards Advanced Data Analysis by Combining Soft Computing and Statistics ISBN: 3642443745 ISBN-13(EAN): 9783642443749 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book blends the adaptability and speed of soft computing with the rigor and precision of statistics to enhance the robustness and generalizability of data analysis, while preserving the flexibility to solve real-world problems intuitively and efficiently.
Автор: P?kala Название: Uncertainty Data in Interval-Valued Fuzzy Set Theory ISBN: 3319939092 ISBN-13(EAN): 9783319939094 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov`s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information.
Автор: Clare Dixon; Marcelo Finger Название: Frontiers of Combining Systems ISBN: 3319661663 ISBN-13(EAN): 9783319661667 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 11th International Symposium on Frontiers of Combining Systems, FroCoS 2017, held in Brasilia, Bazil, in September 2017.
Автор: Pascal Fontaine; Christophe Ringeissen; Renate Sch Название: Frontiers of Combining Systems ISBN: 3642408842 ISBN-13(EAN): 9783642408847 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Invited Talk 1.- MetiTarski's Menagerie of Cooperating Systems.- Inductive Theorem Proving.- Combining Superposition and Induction: A Practical Realization.- Arrays and Memory Access Optimization.- Definability of Accelerated Relations in a Theory of Arrays and Its Applications.- Verification of Composed Array-Based Systems with Applications to Security-Aware Workflows.- Presburger Arithmetic in Memory Access Optimization for Data-Parallel Languages.- Approximation and Forgetting.- Roughening the EL Envelope.- Uniform Interpolation of ALC-Ontologies Using Fixpoints.- Abduction in Logic Programming as Second-Order Quantifier Elimination.- Invited Talk 2.- Witness Runs for Counter Machines.- Temporal and Description Logic Techniques.- Decidability and Complexity via Mosaics of the Temporal Logic of the Lexicographic Products of Unbounded Dense Linear Orders.- Temporal Query Answering in the Description Logic DL-Lite.- Verification of Golog Programs over Description Logic Actions.- Invited Talk 3.- Specification and Verification of Linear Dynamical Systems: Advances and Challenges.- Theorem Proving with Theories and Sorts.- Obtaining Finite Local Theory Axiomatizations via Saturation.- Non-cyclic Sorts for First-Order Satisfiability.- Detection of First Order Axiomatic Theories.- Mechanizing the Metatheory of Sledgehammer.- Invited Talk 4.- From Resolution and DPLL to Solving Arithmetic Constraints.- Modal Logic and Description Logic.- Tableaux for Relation-Changing Modal Logics.- Computing Minimal Models Modulo Subset-Simulation for Modal Logics.- Hybrid Unification in the Description Logic EL.- Rewriting.- Disproving Confluence of Term Rewriting Systems by Interpretation and Ordering.- On Forward Closure and the Finite Variant Property.- Term Rewriting with Logical Constraints.
Автор: Ioannis Hatzilygeroudis; Vasile Palade; Jim Prentz Название: Advances in Combining Intelligent Methods ISBN: 3319461990 ISBN-13(EAN): 9783319461991 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Complex problems usually cannot be solved by individual methods or techniques and require the synergism of more than one of them to be solved. This book presents a number of current efforts that use combinations of methods or techniques to solve complex problems in the areas of sentiment analysis, search in GIS, graph-based social networking, intelligent e-learning systems, data mining and recommendation systems. Most of them are connected with specific applications, whereas the rest are combinations based on principles. Most of the chapters are extended versions of the corresponding papers presented in CIMA-15 Workshop, which took place in conjunction with IEEE ICTAI-15, in November 2015. The rest are invited papers that responded to special call for papers for the book. The book is addressed to researchers and practitioners from academia or industry, who are interested in using combined methods in solving complex problems in the above areas.
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