Operational research

Using numerical examples to illustrate their concepts and results, this book examines recently developed fuzzy multi-criteria methods, such as Intuitionistic Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS & DEA-AHP, Intuitionistic VIKOR, Pythagorean WASPAS, Pythagorean ENTROPI, Hesitant CBD, Hesitant MABAC, Triangular EDAS, Triangular PROMETHEE, q-Rung Orthopair COPRAS, and Fuzzy Type - 2 ELECTRE.

This book presents a selection of current research results in the field of intelligent systems and draws attention to their practical applications and issues connected with the areas of decision-making, economics, business and finance.

Written by a leading expert in turnpike phenomenon, this book is devoted to the study of symmetric optimization, variational and optimal control problems in infinite dimensional spaces and turnpike properties of their approximate solutions.

This book showcases how the latest and most advanced types of analytical modeling and empirical analysis can help to create value in the global supply chain.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2021), which was hosted online by the University of Bern from August 31 to September 3, 2021, and was jointly organized by the Operations Research Societies of Switzerland (SVOR/ASRO), Germany (GOR e.

This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management.

This book presents innovative operations research applications in business, specifically industrial engineering and its sub-disciplines.

This book presents recent advances in the theory and application of the Best-Worst Method (BWM).

Covid-19 has hit the world unprepared, as the deadliest pandemic of the century.

This book is a rigorous but practical presentation of the techniques of uncertainty quantification, with applications in R and Python.

This book presents a rich collection of studies on the analysis of sustainable development from a multiple criteria decision-making (MCDM) perspective, written by some of the most prominent authors in the field of MCDM/A.

"e;Design Engineering for Industry 4.

This book provides research results and shares experiences in the area of supply chain management.

Health threats pose significant dangers to humankind and form a major source of human suffering and sorrow.

This book presents state-of-the-art research and practice in optimization routing, specifically the vehicle routing problem (VRP).

The book presents the proceedings of the 6th EAI International Conference on Management of Manufacturing Systems (MMS 2021), which took place online on October 6, 2021.

This textbook provides a unique and original understanding on innovation and on product design and development, and on their tight interconnections.

This book discusses recent theoretical developments in agglomerative hierarchical clustering.

This book investigates in detail large-scale group decision-making (LSGDM) problem, which has gradually evolved from the traditional group decision-making problem and has attracted more and more attention in the age of big data.

Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems.

This proceedings volume presents new methods and applications in Operational Research and Management Science with a special focus on Business Analytics.

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.

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems.

This book has two main objectives: *  to provide a concise introduction to nonlinear optimization methods, which can be used as a textbook at a graduate or upper undergraduate level; *  to collect and organize selected important topics on optimization algorithms, not easily found in textbooks, which can provide material for advanced courses or can serve as a reference text for self-study and research.

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today.

This monograph discusses the theoretical and practical development of multicriteria decision making (MCDM).

This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency.

This book covers various data scientific approaches to analyze the issue of grid integration of renewable energy for which the grid flexibility is the key to cope with its intermittency.

Landmarks of Tomorrow forecasts changes in three major areas of human life and experience.

Written by more than fifty top researchers, this text comprehensively covers a major inter-disciplinary field and its important applications.

Landmarks of Tomorrow forecasts changes in three major areas of human life and experience.

This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications.

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures.

This volume consists of 14 contributed chapters written by leading experts, offering in-depth discussions of the mathematical modeling and algorithmic aspects for tackling a range of space engineering applications.

This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures.

Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems.

This monograph discusses the theoretical and practical development of multicriteria decision making (MCDM).

Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today.

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.

Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions.

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Behavioral research is making a significant impact on many academic disciplines.

Accounting in Networks is the first book that in a comprehensive way covers the emerging issue of accounting and control in horizontal relations across legally independent organizations.

This book analyzes the emerging concept of diversity intelligence, which values the differences in employees without attempting to make everyone alike.

This is the first book that sums up test-related modeling of digital circuits and systems by a new structural-decision-diagrams model.

This volume will assist readers in fitting big data analysis into their service-based organizations.

This book offers an essential review of central theories, current research and applications in the field of numerical representations of ordered structures.

This book is a further development of the theory of parametric control.

This book presents a novel approach to the formulation and solution of three classes of problems: the fully fuzzy transportation problem, the fully fuzzy transshipment problem, and fully fuzzy solid transportation problem.

This book offers a comprehensive and readable introduction to modern business and data analytics.