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This book systematically explores theories related to linguistic computational models and group decision making methods under uncertainty. It introduces innovative linguistic computational models capable of fusing complex linguistic information, including multi-granular linguistic information, unbalanced linguistic information and hesitant fuzzy linguistic information. Building upon the linguistic computational models, this book presents methods tailored to various types of group decision making problems under uncertainty. Additionally, it delves into group decision making problems where the personalized individual semantics of experts are considered. The book also showcases practical applications of the proposed group decision making methods, ranging from ERP system supplier selection to talent recruitment, subway line selection, and location selection for electric vehicle charging stations. By shedding light on novel models for modeling complex linguistic information and introducing new approaches to addressing linguistic group decision making challenges, this book offers valuable insights for engineers, researchers, and postgraduates interested in decision analysis, operations research, computational intelligence, management science and engineering, and related fields.

Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Business management --- management --- mathematische modellen --- econometrie --- operationeel onderzoek --- Operations research. --- Management science. --- Operations Research and Decision Theory. --- Operations Research, Management Science.

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This book presents various concepts and applications related to risk-conscious operations management. It also provides an overview of the risk-based engineering – fundamental to the concept of risk-conscious operations management. It presents the reliability concept to support Dependency Modelling, which includes hardware systems structures and components for reliability improvement and risk reduction. The book further develops and builds attributes and model for risk-conscious culture – critical to characterize operational approach to risk and presents human factor modelling, where it works on developing an approach for human error precursor analysis. This book will be useful for students, researchers, academicians and professionals working on identifying risk and reliability issues in complex safety and mission critical systems. It will also be beneficial for industry risk-and-reliability experts and operational safety staff working in the complex engineering systems.

Methodology of economics --- Operational research. Game theory --- Mathematical statistics --- Engineering sciences. Technology --- Planning (firm) --- Production management --- Business management --- Business economics --- Computer. Automation --- financieel management --- computers --- management --- mathematische modellen --- productie --- risk management --- econometrie --- operationeel onderzoek --- ingenieurswetenschappen --- Industrial engineering. --- Production engineering. --- Computers. --- Financial risk management. --- Operations research. --- Management science. --- Industrial and Production Engineering. --- Hardware Performance and Reliability. --- Risk Management. --- Process Engineering. --- Operations Research, Management Science .

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This book presents the state-of-the-art in the emerging field of data science and includes models for layered security with applications in the protection of sites—such as large gathering places—through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. Additionally, this book provides readers with automated methods to analyze patterns and models for various types of data, with applications ranging from scientific discovery to business intelligence and analytics. The book primarily includes exploratory data analysis, pattern mining, clustering, and classification supported by real life case studies. The statistical section of this book explores the impact of data mining and modeling on the predictability assessment of time series. Further new notions of mean values based on ideas of multi-criteria optimization are compared with their conventional definitions, leading to new algorithmic approaches to the calculation of the suggested new means. The style of the written chapters and the provision of a broad yet in-depth overview of data mining, integrating novel concepts from machine learning and statistics, make the book accessible to upper level undergraduate and graduate students in data mining courses. Students and professionals specializing in computer and management science, data mining for high-dimensional data, complex graphs and networks will benefit from the cutting-edge ideas and practically motivated case studies in this book.

Operational research. Game theory --- Discrete mathematics --- Mathematical statistics --- Planning (firm) --- Business management --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- datamining --- discrete wiskunde --- management --- mathematische modellen --- econometrie --- AI (artificiële intelligentie) --- operationeel onderzoek --- data acquisition --- Mathematical optimization. --- Data mining. --- Operations research. --- Management science. --- Discrete mathematics. --- Artificial intelligence. --- Data Mining and Knowledge Discovery. --- Operations Research, Management Science . --- Discrete Mathematics. --- Artificial Intelligence.

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This book explores different aspects of and provides concrete suggestions to meet the three main challenges for becoming a “Digital Enterprise”: the transition to the digital age, the emergence of service ecosystems, and the growing role of data as a key underlying resource. As a result of these intertwined and mutually amplifying trends, today’s enterprises are confronted with several challenges that profoundly impact their design, from the definitions of products and services offered to their clients via the business processes that deliver these products and services to the underlying IT infrastructure. The contributions which are written by leading enterprise architecture researchers and managers of large corporations cover four key aspects which form each one part of the book: Part I presents experiences how different enterprises currently already need to embrace and exploit new challenges like blockchain, customer-centric services, or value co-creation networks. Part II looks at the need for a new design logic, i.e. the need for new ways of thinking regarding the design of enterprises. Part III is concerned with the coordination needed among different stakeholders of the ensuing continuous transformations. Part IV eventually reflects on the ongoing consequences for enterprise modeling as used to capture both the current affairs of an enterprise, as well as design/study its possible future affairs. The target audience of this book are both master and PhD level students who want to gain insights into key aspects of the challenges confronting digital enterprises, as well as enterprise architects and information managers working in enterprises that are on their way to become digital.

Sociology --- Operational research. Game theory --- Mathematical statistics --- Office management --- Business policy --- Planning (firm) --- Business management --- Computer science --- Information systems --- Computer. Automation --- bedrijfseconomie --- industrie --- informatica --- management --- mathematische modellen --- bedrijfsadministratie --- architectuur --- informatietechnologie --- econometrie --- operationeel onderzoek --- informatica management --- Business information services. --- Operations research. --- Management science. --- Information technology --- Industrial organization. --- Business Information Systems. --- Enterprise Architecture. --- Operations Research, Management Science . --- Computer Application in Administrative Data Processing. --- Organization. --- Management.

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This fundamental work is a sequel to monographs by the same author: Variational Analysis and Applications (2018) and the two Grundlehren volumes Variational Analysis and Generalized Differentiation: I Basic Theory, II Applications (2006). This present book is the first entirely devoted to second-order variational analysis with numerical algorithms and applications to practical models. It covers a wide range of topics including theoretical, numerical, and implementations that will interest researchers in analysis, applied mathematics, mathematical economics, engineering, and optimization. Inclusion of a variety of exercises and commentaries in each chapter allows the book to be used effectively in a course on this subject. This area has been well recognized as an important and rapidly developing area of nonlinear analysis and optimization with numerous applications. Consisting of 9 interrelated chapters, the book is self-contained with the inclusion of some preliminaries in Chapter 1. Results presented are useful tools for characterizations of fundamental notions of variational stability of solutions for diverse classes of problems in optimization and optimal control, the study of variational convexity of extended-real-valued functions and their specifications and variational sufficiency in optimization. Explicit calculations and important applications of second-order subdifferentials associated with the achieved characterizations of variational stability and related concepts, to the design and justification of second-order numerical algorithms for solving various classes of optimization problems, nonsmooth equations, and subgradient systems, are included. Generalized Newtonian algorithms are presented that show local and global convergence with linear, superlinear, and quadratic convergence rates. Algorithms are implemented to address interesting practical problems from the fields of machine learning, statistics, imaging, and other areas.

Functional analysis --- Mathematical analysis --- Numerical methods of optimisation --- Operational research. Game theory --- Mathematical statistics --- Mathematics --- Planning (firm) --- Business management --- analyse (wiskunde) --- management --- mathematische modellen --- econometrie --- wiskunde --- operationeel onderzoek --- kansrekening --- optimalisatie --- Mathematical optimization. --- Calculus of variations. --- Mathematical analysis. --- Operations research. --- Management science. --- Calculus of Variations and Optimization. --- Analysis. --- Operations Research, Management Science.