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Multiple criteria decision aid (MCDA) methods are illustrated in this book through theoretical and computational techniques utilizing Python. Existing methods are presented in detail with a step by step learning approach. Theoretical background is given for TOPSIS, VIKOR, PROMETHEE, SIR, AHP, goal programming, and their variations. Comprehensive numerical examples are also discussed for each method in conjunction with easy to follow Python code. Extensions to multiple criteria decision making algorithms such as fuzzy number theory and group decision making are introduced and implemented through Python as well. Readers will learn how to implement and use each method based on the problem, the available data, the stakeholders involved, and the various requirements needed. Focusing on the practical aspects of the multiple criteria decision making methodologies, this book is designed for researchers, practitioners and advanced graduate students in the applied mathematics, information systems, operations research and business administration disciplines, as well as other engineers and scientists oriented in interdisciplinary research. Readers will greatly benefit from this book by learning and applying various MCDM/A methods. (Adiel Teixeira de Almeida, CDSID-Center for Decision System and Information Development, Universidade Federal de Pernambuco, Recife, Brazil) Promoting the development and application of multicriteria decision aid is essential to ensure more ethical and sustainable decisions. This book is a great contribution to this objective. It is a perfect blend of theory and practice, providing potential users and researchers with the theoretical bases of some of the best-known methods as well as with the computing tools needed to practice, to compare and to put these methods to use. (Jean-Pierre Brans, Vrije Universiteit Brussel, Brussels, Belgium) This book is intended for researchers, practitioners and students alike in decision support who wish to familiarize themselves quickly and efficiently with multicriteria decision aiding algorithms. The proposed approach is original, as it presents a selection of methods from the theory to the practical implementation in Python, including a detailed example. This will certainly facilitate the learning of these techniques, and contribute to their effective dissemination in applications. (Patrick Meyer, IMT Atlantique, Lab-STICC, Univ. Bretagne Loire, Brest, France).

Python (Computer program language) --- Scripting languages (Computer science) --- Operations research. --- Software engineering. --- Computer software. --- Operations Research, Management Science. --- Operations Research/Decision Theory. --- Software Engineering/Programming and Operating Systems. --- Mathematical Software. --- Mathematical Applications in Computer Science. --- Software, Computer --- Computer systems --- Computer software engineering --- Engineering --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Management science. --- Decision making. --- Computer science—Mathematics. --- Computer mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Quantitative business analysis --- Operations research --- Statistical decision --- Decision making --- Operations Research, Management Science . --- Operations Research and Decision Theory. --- Software Engineering.

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This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system’s life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect. It complements the many works that focus on theoretical aspects or individual module design and development by offering ‘good’ and ‘bad’ practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike. “A book on real case studies in Decision Support Systems is a much-needed publication in an area where most literature has been dedicated to theory, underestimating the empirical dimension of decision-making support. I am very glad to see this book appearing. It really fills a gap”. Professor Alexis Tsoukiàs, Director of LAMSADE, CNRS - LAMSADE, Université Paris Dauphine, France. “This book is informative, interesting, and inter-disciplinary. It exemplifies how Decision Support Systems can transform, influence, and impact real-world practices”. Professor Shaofeng Liu, Plymouth Graduate School of Management & Plymouth Business School, Plymouth University, UK. “A very attractive book that undoubtedly augments our understanding of Decision Support Systems and their myriad of applications. I would like to offer my congratulations to the authors and recommend the book to all potential readers". Professor José María Moreno-Jimenez, Faculty of Economics and Business, University of Zaragoza, Spain, and President of the International Association of Applied Economics Asepelt.

IT in Business. --- Decision making. --- Decision support systems. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making --- Management information systems --- Telematics --- Information technology. --- Operations research. --- Software engineering. --- Information Systems Applications (incl. Internet). --- Operations Research/Decision Theory. --- Software Engineering. --- Computer software engineering --- Engineering --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- IT (Information technology) --- Technology --- Information superhighway --- Knowledge management --- Application software. --- Business—Data processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Business information services. --- Computer and Information Systems Applications. --- Operations Research and Decision Theory. --- Business --- Business enterprises --- Information services

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This book presents real-world decision support systems, i.e., systems that have been running for some time and as such have been tested in real environments and complex situations; the cases are from various application domains and highlight the best practices in each stage of the system’s life cycle, from the initial requirements analysis and design phases to the final stages of the project. Each chapter provides decision-makers with recommendations and insights into lessons learned so that failures can be avoided and successes repeated. For this reason unsuccessful cases, which at some point of their life cycle were deemed as failures for one reason or another, are also included. All decision support systems are presented in a constructive, coherent and deductive manner to enhance the learning effect. It complements the many works that focus on theoretical aspects or individual module design and development by offering ‘good’ and ‘bad’ practices when developing and using decision support systems. Combining high-quality research with real-world implementations, it is of interest to researchers and professionals in industry alike. “A book on real case studies in Decision Support Systems is a much-needed publication in an area where most literature has been dedicated to theory, underestimating the empirical dimension of decision-making support. I am very glad to see this book appearing. It really fills a gap”. Professor Alexis Tsoukiàs, Director of LAMSADE, CNRS - LAMSADE, Université Paris Dauphine, France. “This book is informative, interesting, and inter-disciplinary. It exemplifies how Decision Support Systems can transform, influence, and impact real-world practices”. Professor Shaofeng Liu, Plymouth Graduate School of Management & Plymouth Business School, Plymouth University, UK. “A very attractive book that undoubtedly augments our understanding of Decision Support Systems and their myriad of applications. I would like to offer my congratulations to the authors and recommend the book to all potential readers". Professor José María Moreno-Jimenez, Faculty of Economics and Business, University of Zaragoza, Spain, and President of the International Association of Applied Economics Asepelt.

Operational research. Game theory --- Mathematical statistics --- Business policy --- Planning (firm) --- Business management --- Computer science --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- besluitvorming --- computers --- mathematische modellen --- informatiesystemen --- organisatiecultuur --- informatietechnologie --- econometrie --- software engineering --- operationeel onderzoek --- computerkunde

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This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).

Decision support systems. --- Management information systems --- Telematics --- Business information services. --- Operations research. --- Application software. --- IT in Business. --- Operations Research and Decision Theory. --- Computer and Information Systems Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Business --- Business enterprises --- Information services

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This book recapitulates the major developments in Decision Support Systems (DSS) over the last 30 years in order to evaluate the research areas of decision making and in which direction the field should proceed. As it attempts to find a consensus about the next steps for the future of DSS research, the book also enforces the trends and new technologies currently in use. The book examines topics such as decision analysis for enterprise systems and non-hierarchical networks, integrated solutions for decision support and knowledge management in distributed environments, decision support system evaluation and analysis through social networks, and e-learning and its application to real environments. It clearly presents the evidence to support their cases and attempts to promote an extensive and objective discussion. In addition, the book also reflects on approaches to dead-end ideas and failures in DSS to better understand the lessons learned. The contributions for this book have been written by thought leaders and influential researchers from the EURO Working Group of Decision Support Systems (EWG-DSS).

Operational research. Game theory --- Mathematical statistics --- Business policy --- Planning (firm) --- Programming --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- bedrijfseconomie --- applicatiebeheer --- apps --- mathematische modellen --- econometrie --- operationeel onderzoek --- informatica management --- architectuur (informatica)