This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease expense in corrective measures.
Computational probability is a set of stochastic methods that has emerged over the past decade that allow researchers and students to solve problems that require exact probability calculations previously considered arduous or intractable.
Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear understanding of the fundamental principles of good modeling methodology.
Remote Sensing in Precision Agriculture: Transforming Scientific Advancement into Innovation compiles the latest applications of remote sensing in agriculture using spaceborne, airborne and drones' geospatial data.
This book serves as a great reference for engineering technicians and researchers in a wide range of fields, including emergency management, public safety science, risk management, emergency communication, and transportation optimization.
Learn how to write automated tests for Dynamics 365 Business Central and see how to implement it in your daily workKey FeaturesLeverage automated testing to advance over traditional manual testing methodsWrite, design, and implement automated testsExplore various testing frameworks and tools compatible with Microsoft Dynamics 365 Business CentralBook DescriptionDynamics 365 Business Central is the new cloud-based SaaS ERP proposition from Microsoft.
This book describes the ontology structure, types of actors, their potential actions, and ways that actions can affect the things that are part of the conflict.
Improving Mathematics at Work questions the mathematical knowledge and skills that matter in the twenty-first century world of work, and studies how the use of mathematics in the workplace is evolving in the rapidly-changing context of new technologies and globalisation.
Thisbook constitutes the refereed proceedings of the Second InternationalConference on Decision Support Systems Technology, ICDSST 2016, held inPlymouth, UK, May 23-25.
The well-ordered, fully aligned view of organization and management practice, with its unfailingly positive results, bears little relationship to the world that managers and others experience every day.
Offering much more than a purely theoretical or retrospective view of public management, this exciting text is an invaluable new addition to the field of public management.
Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor.
This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.
This book constitutes the refereed proceedings of the 21st International Conference on Group Decision and Negotiation, GDN 2021, which was planned to be held in Toronto, ON, Canada, during June 6-10, 2021.
This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science.
Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals.
This book constitutes the refereed proceedings of the 23rd International Conference on Group Decision and Negotiation, GDN 2023, which took place in Tokyo, Japan during June 11-15, 2023.
This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems.
This book analyzes the security of critical infrastructures such as road, rail, water, health, and electricity networks that are vital for a nation's society and economy, and assesses the resilience of these networks to intentional attacks.
The papers collected in this volume were presented at the 6th European C- ference on Case-Based Reasoning (ECCBR 2002) held at The Robert Gordon University in Aberdeen, UK.
Decisions, Games and Markets is designed to stimulate new developments in decision theory, game theory and general equilibrium theory, as well as in their applications to economics.
In recent years, an impetuous development of new, unconventional theories, methods, techniques and technologies in computer and information sciences, systems analysis, decision-making and control, expert systems, data modelling, engineering, etc.
Nicolas Justus entwickelt ein Planungssystem für die Maschinenbaubranche und deren Zulieferer, das auf die spezifischen Bedürfnisse dieser Branche ausgelegt ist.
Gain a comprehensive understanding of essential operations management principles with this easy to read introduction to the subject "e;This textbook provides valuable insight into the essentials of directing, designing, delivering and developing operations.
This book describes a set of hybrid fuzzy models showing how to use them to deal with incomplete and/or vague information in different kind of decision-making problems.
Since the introduction of system signatures in Francisco Samaniego's 1985 paper, the properties of this technical concept have been examined, tested and proven in a wide variety of systems applications.
This book highlights research on the behavioral biases affecting judgmental accuracy in judgmental forecasting and showcases the state-of-the-art in judgment-based predictive analytics.
This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research.