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Decision Making with the Analytic Network Process
by Thomas L. Saaty Luis G. VargasThe Analytic Network Process (ANP), developed by Thomas Saaty in his work on multicriteria decision making, applies network structures with dependence and feedback to complex decision making. This new edition of Decision Making with the Analytic Network Process is a selection of the latest applications of ANP to economic, social and political decisions, and also to technological design. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The book focuses on the application of the ANP in three different areas: economics, the social sciences and the linking of measurement with human values. Economists can use the ANP for an alternate approach for dealing with economic problems than the usual mathematical models on which economics bases its quantitative thinking. For psychologists, sociologists and political scientists, the ANP offers the methodology they have sought for some time to quantify and derive measurements for intangibles. Finally the book applies the ANP to provide people in the physical and engineering sciences with a quantitative method to link hard measurement to human values. In such a process, one is able to interpret the true meaning of measurements made on a uniform scale using a unit.
Decision Mathematics, Statistical Learning and Data Mining: Selected Contributions from ICMSCT2023, Manila, Philippines, September 20-21 (Springer Proceedings in Mathematics & Statistics #461)
by Yap Bee Wah Wan Fairos Wan Yaacob Obaid Ullah MehmoodThis book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the UST Angelicum College, Philippines, from 20th to 21st September 2023. This biennial event is a result from collaborations of university partners in Malaysia, Thailand, Indonesia and Philippines. Increasing investment in digital technologies is a challenge faced by most countries after the crisis caused by COVID-19 and the demand of technological revolution 4.0. Indirectly, regardless of their level of development, they take into account the importance of redesigning strategies for resilient and sustainable regional economic development, increasing regional resilience and minimizing recovery costs as a basis for development. In such situation, this book gather discussion, viewpoints and findings on the recent works of mathematical and computing technology applications in order to propose solutions to overcome adversity of digital resilience. This book covers a wide range of topics on applied mathematics, which includes decision mathematics and also applied statistics covering statistical learning with applications. In addition, the book also highlight the latest application of statistical mining and data visualization, particularly on data mining, machine learning and data visualization. Editors believe this book will interest and influence researchers on the recent techniques, methodologies and applications to ensure digital resilience and support future research.
Decision Options: The Art and Science of Making Decisions (Chapman & Hall/CRC Finance Series)
by Gill EapenThrough theory and case studies, this book details how uncertainty and flexibility can be evaluated to assist in making better investment decisions in companies. It delivers an excellent balance of theory and practice in the area of investment decision making, demonstrates how financial and real options are related, and describes the theoretical underpinnings of both. The author presents case studies from diverse industries, including life sciences, pharmaceuticals, commodities, energy, technology, manufacturing, and financial services. He also looks at how organizations can become successful using a holistic framework that integrates uncertainty and flexibility.
Decision Policies for Production Networks
by Dieter Armbruster Karl G. KempfThe financial results of any manufacturing company can be dramatically impacted by the repetitive decisions required to control a complex production network be it a network of machines in a factory; a network of factories in a company; or a network of companies in a supply chain. Decision Policies for Production Networks presents recent convergent research on developing policies for operating production networks including details of practical control and decision techniques which can be applied to improve the effectiveness and economic efficiency of production networks worldwide. Researchers and practitioners come together to explore a wide variety of approaches to a range of topics including: WIP and equipment management policies, Material release policies, Machine, factory, and supply chain network policies for delivery in the face of supply and demand variability, and Conflicts between complex production network models and their controlling policies. Case studies and relevant mathematical techniques are included to support and explain techniques such as heuristics, global and hierarchical optimization, control theory and filtering approaches related to complex systems or traffic flows. Decision Policies for Production Networks acts as handbook for researchers and practitioners alike, providing findings and information which can be applied to develop methods and advance further research across production networks.
Decision Science in Action: Theory And Applications Of Modern Decision Analytic Optimisation (Asset Analytics)
by Kusum Deep Madhu Jain Said SalhiThis book provides essential insights into a range of newly developed numerical optimization techniques with a view to solving real-world problems. Many of these problems can be modeled as nonlinear optimization problems, but due to their complex nature, it is not always possible to solve them using conventional optimization theory. Accordingly, the book discusses the design and applications of non-conventional numerical optimization techniques, including the design of benchmark functions and the implementation of these techniques to solve real-world optimization problems. The book’s twenty chapters examine various interesting research topics in this area, including: Pi fraction-based optimization of the Pantoja–Bretones–Martin (PBM) antenna benchmarks; benchmark function generators for single-objective robust optimization algorithms; convergence of gravitational search algorithms on linear and quadratic functions; and an algorithm for the multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes. Delivering on its promise to explore real-world scenarios, the book also addresses the seismic analysis of a multi-story building with optimized damper properties; the application of constrained spider monkey optimization to solve portfolio optimization problems; the effect of upper body motion on a bipedal robot’s stability; an ant colony algorithm for routing alternate-fuel vehicles in multi-depot vehicle routing problems; enhanced fractal dimension-based feature extraction for thermal face recognition; and an artificial bee colony-based hyper-heuristic for the single machine order acceptance and scheduling problem. The book will benefit not only researchers, but also organizations active in such varied fields as Aerospace, Automotive, Biotechnology, Consumer Packaged Goods, Electronics, Finance, Business & Banking, Oil, Gas & Geosciences, and Pharma, to name a few.
Decision Sciences for COVID-19: Learning Through Case Studies (International Series in Operations Research & Management Science #320)
by Said Ali Hassan Ali Wagdy Mohamed Khalid Abdulaziz AlnowibetThis book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.
Decision Sciences: Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14778)
by Javier Faulin Angel A. Juan David Lopez-LopezThis book constitutes the proceedings of the Second Decision Science Alliance International Summer Conference, DSA ISC 2024, held in Valencia, Spain, in June 2024. The 33 full papers and 38 short papers included in this book were carefully reviewed and selected from 101 submissions. At the core of DSA ISC’24 are in-depth discussions and analyses across a spectrum of technological domains. Notably, experts shared their knowledge on areas such as Artificial Intelligence & Machine Learning, Mathematical Optimization, Operational Research & Management Science, Statistics, Simulation, and Decision Processes Analysis. Each of these areas represents a key aspect of decision science, contributing to the interdisciplinary nature of the conference.
Decision Sciences: Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14779)
by Javier Faulin Angel A. Juan David Lopez-LopezThis book constitutes the proceedings of the Second Decision Science Alliance International Summer Conference, DSA ISC 2024, held in Valencia, Spain, in June 2024. The 33 full papers and 38 short papers included in this book were carefully reviewed and selected from 101 submissions. At the core of DSA ISC’24 are in-depth discussions and analyses across a spectrum of technological domains. Notably, experts shared their knowledge on areas such as Artificial Intelligence & Machine Learning, Mathematical Optimization, Operational Research & Management Science, Statistics, Simulation, and Decision Processes Analysis. Each of these areas represents a key aspect of decision science, contributing to the interdisciplinary nature of the conference.
Decision Support Systems XIV. Human-Centric Group Decision, Negotiation and Decision Support Systems for Societal Transitions: 11th International Conference on Decision Support System Technology, ICDSST 2025, Belgrade, Serbia, May 26–29, 2025, Proceedings (Lecture Notes in Business Information Processing #546)
by Boris Delibašić Shaofeng Liu Pavlos Delias Sérgio Pedro Duarte Sandro RadovanovićThis book constitutes the proceedings of the 11th International Conference on Decision Support Systems Technologies, ICDSST 2025, held in Belgrade, Serbia, in May 2025. The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities. This year the main focus was: Decision Support System Technology in the AI Era. The 10 full papers included in these proceedings were carefully reviewed and selected from 39 submissions. They have been organized in topical sections as follows: Decision support systems; artificial intelligence and machine learning; and decision support system challenges.
Decision Support Using Nonparametric Statistics
by Warren BeattyThis concise volume covers nonparametric statistics topics that most are most likely to be seen and used from a practical decision support perspective. While many degree programs require a course in parametric statistics, these methods are often inadequate for real-world decision making in business environments. Much of the data collected today by business executives (for example, customer satisfaction opinions) requires nonparametric statistics for valid analysis, and this book provides the reader with a set of tools that can be used to validly analyze all data, regardless of type. Through numerous examples and exercises, this book explains why nonparametric statistics will lead to better decisions and how they are used to reach a decision, with a wide array of business applications. Online resources include exercise data, spreadsheets, and solutions.
Decision Theater zur Förderung mathematischer Modellierungskompetenz: Grundlagen, Einsatz und Anwendungsbeispiel (essentials)
by Alexander BrödnerDieses Buch bietet eine grundlegende Einführung in den Einsatz der Methode des Decision Theater zur Vermittlung von mathematischer Modellierungskompetenz im Schulkontext. In den letzten Jahren hat sich unter anderem anhand der Covid-19 Pandemie mehr denn je gezeigt, wie Mathematik im Allgemeinen und das mathematische Modellieren im Speziellen zum Verständnis globaler Herausforderungen und Möglichkeiten zu ihrer Bewältigung beiträgt. Deshalb sollte die mathematische Modellierungskompetenz eine zentrale Rolle im Schulunterricht spielen. Doch der Prozess von Vermittlung und Erwerb einer solchen Kompetenz ist komplex und mit vielfältigen Schwierigkeiten verbunden. Angesichts dieser Ausgangslage stellt das Buch die Methode des Decision Theater als innovative Lernumgebung neuer Art vor, die die Vermittlung von mathematischer Modellierungskompetenz unterstützen kann. Dabei trägt die Methode des Decision Theatre auf drei Ebenen dazu beiträgt, Modellierungskompetenz und ein damit verbundenes ganzheitliches Bild der Mathematik zu fördern: Das Decision Theatre dient als IT-Dienstleister, als Wissenschaftskommunikator und als interaktiv-diskursive Lernumgebung. Neben Geschichte und Definition des Decision Theater, stellt das Buch dessen Einsatz konkret am Beispiel des Projekts „Schule @ Decision Theatre Lab“ des Berliner Exzellenzclusters MATH+ Berlin Mathematics Research Center vor. Als Zusammenfassung der wichtigsten Aspekte des Einsatzes der Methode des Decision Theater im Schulkontext richtet sich das Buch an Didaktiker*innen und Lehrkräfte aller Schulformen.
Decision Theory with a Human Face
by Richard BradleyWhen making decisions, people naturally face uncertainty about the potential consequences of their actions due in part to limits in their capacity to represent, evaluate or deliberate. Nonetheless, they aim to make the best decisions possible. In Decision Theory with a Human Face, Richard Bradley develops new theories of agency and rational decision-making, offering guidance on how 'real' agents who are aware of their bounds should represent the uncertainty they face, how they should revise their opinions as a result of experience and how they should make decisions when lacking full awareness of, or precise opinions on relevant contingencies. He engages with the strengths and flaws of Bayesian reasoning, and presents clear and comprehensive explorations of key issues in decision theory, from belief and desire to semantics and learning. His book draws on philosophy, economics, decision science and psychology, and will appeal to readers in all of these disciplines.
Decision and Game Theory for Security
by Mhr Khouzani Emmanouil Panaousis George TheodorakopoulosThis book constitutes the refereed proceedings of the 6th International Conference on Decision and Game Theory for Security, GameSec 2015, held in London, UK, in November 2015. The 16 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. Game and decision theory has emerged as a valuable systematic framework with powerful analytical tools in dealing with the intricacies involved in making sound and sensible security decisions. For instance, game theory provides methodical approaches to account for interdependencies of security decisions, the role of hidden and asymmetric information, the perception of risks and costs in human behaviour, the incentives/limitations of the attackers, and much more. Combined with our classical approach to computer and network security, and drawing from various fields such as economic, social and behavioural sciences, game and decision theory is playing a fundamental role in the development of the pillars of the "science of security".
Decision and Game Theory for Security
by Tansu Alpcan Emmanouil Panaousis Quanyan Zhu Milind Tambe William CaseyThis book constitutes the refereed proceedings of the 6th International Conference on Decision and Game Theory for Security, GameSec 2015, held in London, UK, in November 2015. The 16 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. Game and decision theory has emerged as a valuable systematic framework with powerful analytical tools in dealing with the intricacies involved in making sound and sensible security decisions. For instance, game theory provides methodical approaches to account for interdependencies of security decisions, the role of hidden and asymmetric information, the perception of risks and costs in human behaviour, the incentives/limitations of the attackers, and much more. Combined with our classical approach to computer and network security, and drawing from various fields such as economic, social and behavioural sciences, game and decision theory is playing a fundamental role in the development of the pillars of the "science of security".
Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions (Intelligent Systems Reference Library #156)
by Igor Chikalov Mikhail Moshkov Fawaz Alsolami Mohammad AzadThe results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.
Decision-Making in Design, Maintenance, Planning, and Investment of Wind Energy (International Series in Operations Research & Management Science #355)
by Daniela BorissovaThis book demonstrates how decision-making models can be applied to solve specific real-life problems, with a particular emphasis on wind energy. In a step-by-step manner, it guides the reader through decision-making, the formulation of optimization models, and the methods for solving them. After providing an overview of various models for the design of wind farms, it presents an optimization model for deciding which economy (country) to invest in and models for selecting suppliers. A dedicated chapter focuses on different models for monitoring and predictive maintenance for wind turbines (farms) due to the construction of turbine blades and vibration. It shows how combinatorial optimization models can help to make optimal decisions for one-dimensional cutting stock of blanks, their processing, and determining the optimal composition for production. Moreover, it discusses how the energy consumption balance index formed by conventional and renewable sources can be determined and presents a means of identifying the relative share of wind energy consumption among the other renewable sources. Operations research professionals, students, and decision-makers alike will find this book to be a valuable resource for tackling real-world challenges and driving sustainable advances in wind energy solutions.
Decision-making in High-Risk Projects
by Akio ToriiThis book identifies and systematically confirms the various factors that allow dangerous nuclear power projects to proceed without adequate risk assessment, even as society recognizes the magnitude of risks associated with nuclear power generation. For the first time, it employs a communication game model to explore each factor individually. The novel feature of the book lies in its theoretical analysis of institutional factors, such as the possibility of regulatory capture by electric power companies, the likelihood of these companies concealing early warning signs, the societal demand for excessive safety leading to intolerance of even minor incidents, and the ambiguity of liability. These issues have been pointed out and discussed by many commentators, including the media, but they have never been rigorously verified through economic model analysis. Furthermore, the book discusses why trial and error, a common approach in technological development, is particularly challenging for nuclear power.
Decisions to Have Children in Late 20th and Early 21st Century Australia: A Qualitative Analysis
by Gordon CarmichaelThis book explores the process of decision-making around having children in a sample of 115 men, women and couples for whom family formation was a recent past, current or imminent future issue. The discussion is initially focused on the extent to which parenthood was contemplated in late adolescence and during the relationship formation/courtship process, and the process by which family sizes are determined. Decision-making associated with having first, second, third and fourth children is then examined in chapters entitled The First Child; The 'Obligatory' Second Child; The Discretionary Third Child and Fourth Children - Negative Reactions, Practical Issues. Decisions to Have Children in Late 20th and Early 21st Century Australia offers a detailed coverage of a topic with resonances and implications that apply to contemporary cultures all around the world.
Decisions: Risk and Reward (Routledge Studies In Business Organizations And Networks Ser.)
by Johnnie E.V. Johnson Alistair BruceIn recent years leading figures in a variety of fields - political, financial, medical, and organizational - have become acutely aware of the need to effectively incorporate aspects of risk into their decision-making. This book addresses a wide range of contemporary issues in decision research, such as how individuals deal with uncertainty and comp
Declarative Programming and Knowledge Management: Conference on Declarative Programming, DECLARE 2019, Unifying INAP, WLP, and WFLP, Cottbus, Germany, September 9–12, 2019, Revised Selected Papers (Lecture Notes in Computer Science #12057)
by Salvador Abreu Dietmar Seipel Petra Hofstedt Ulrich John Herbert KuchenThis book constitutes revised selected papers from the 22nd International Conference on Applications of Declarative Programming and Knowledge Management, INAP 2019, the 33rd Workshop on Logic Programming, WLP 2019, and the 27th Workshop on Functional and (Constraint) Logic Programming, WFLP 2019. The 15 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 24 submissions. The contributions present current research activities in the areas of declarative languages and compilation techniques, in particular for constraint-based, logical and functional languages and their extensions, as well as discuss new approaches and key findings in constraint-solving, knowledge representation, and reasoning techniques.
Decline and Prosper!: Changing Global Birth Rates and the Advantages of Fewer Children
by Vegard SkirbekkGlobally, women are having half as many children as they had just fifty years ago. Why have birth rates fallen, and how will low fertility affect our shared future? In Decline and Prosper!, demographic expert Vegard Skirbekk offers readers an accessible, comprehensive and evidence-based overview of human reproduction. Readers learn about the evolution of childbearing across different populations and how fertility is related to (changes in) our reproductive capacity, contraception, education, religion, partnering, policies, economics, assisted reproduction, and catastrophes. Readers will explore the future of family size and its impact on human welfare, women’s empowerment and the environment. Skirbekk argues that low fertility is on the whole a good thing, while recognizing the challenges of population aging and “coincidental” childlessness. A balanced, integrative examination of one of the most important issues of our time, Decline and Prosper! drives home the fact that we must ultimately adapt to a world with fewer children. The book will be invaluable to anyone who is interested in the far-reaching effects of global fertility, including researchers and students of demography, social statistics, medical sociologists, family and childhood studies, human geographers, sociology of culture, social and public policy.
Decomposition Analysis Method in Linear and Nonlinear Differential Equations
by Kansari HaldarA Powerful Methodology for Solving All Types of Differential EquationsDecomposition Analysis Method in Linear and Non-Linear Differential Equations explains how the Adomian decomposition method can solve differential equations for the series solutions of fundamental problems in physics, astrophysics, chemistry, biology, medicine, and other scientif
Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
by Juergen GeiserDecomposition Methods for Differential Equations: Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems, the underlying decomposition and discretization, the stability and consistency analysis of the decomposition methods, and num
Decomposition and Dimension in Module Categories (Lecture Notes In Pure And Applied Mathematics Ser. #33)
by Jonathan S. GolanThis book examines the notions of dimension and decomposition for module categories. It discusses some basic properties of quasidecomposition functions and the complete lattice of all quasidecomposition functions taking values in a fixed given lattice.
Deconvolution Problems in Nonparametric Statistics
by Alexander MeisterThis book gives an introduction to deconvolution problems in nonparametric statistics, e.g. density estimation based on contaminated data, errors-in-variables regression, and image reconstruction. Some real-life applications are discussed while we mainly focus on methodology (description of the estimation procedures) and theory (minimax convergence rates with rigorous proofs and adaptive smoothing parameter selection). In general, we have tried to present the proofs in such manner that only a low level of previous knowledge is needed. An appendix chapter on further results of Fourier analysis is also provided.