Collective Decisions: Theory, Algorithms And Decision Support Systems

Collective Decisions: Theory, Algorithms And Decision Support Systems
Author: Tomasz Szapiro
Publisher: Springer Nature
Total Pages: 268
Release: 2021-10-13
Genre: Technology & Engineering
ISBN: 303084997X

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This book is a token of appreciation for Professor Gregory E. Kersten (1949–2020), one of the most prominent and active researchers and scholars in the broadly perceived field of collective decisions, notably negotiations, the author of numerous influential papers, books, and edited volumes, a great scientist, mentor, and a loyal friend and colleague. This book contains some papers in the fields of group and collective decisions, voting, social choice, negotiations, and related topics, with examples of real applications. The authors are top researchers and scholars from all over the world whose life and academic career has been inspired and influenced by Professor Kersten.

Collective Decision Making

Collective Decision Making
Author:
Publisher:
Total Pages: 296
Release: 2011
Genre: Social choice
ISBN: 9781617260070

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Introduction to Digital Humanism

Introduction to Digital Humanism
Author: Hannes Werthner
Publisher: Springer Nature
Total Pages: 631
Release: 2024-01-21
Genre: Computers
ISBN: 3031453042

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This open access textbook introduces and defines digital humanism from a diverse range of disciplines. Following the 2019 Vienna Manifesto, the book calls for a digital humanism that describes, analyzes, and, most importantly, influences the complex interplay of technology and humankind, for a better society and life, fully respecting universal human rights. The book is organized in three parts: Part I “Background” provides the multidisciplinary background needed to understand digital humanism in its philosophical, cultural, technological, historical, social, and economic dimensions. The goal is to present the necessary knowledge upon which an effective interdisciplinary discourse on digital humanism can be founded. Part II “Digital Humanism – a System’s View” focuses on an in-depth presentation and discussion of the main digital humanism concerns arising in current digital systems. The goal of this part is to make readers aware and sensitive to these issues, including e.g. the control and autonomy of AI systems, privacy and security, and the role of governance. Part III “Critical and Societal Issues of Digital Systems” delves into critical societal issues raised by advances of digital technologies. While the public debate in the past has often focused on them separately, especially when they became visible through sensational events the aim here is to shed light on the entire landscape and show their interconnected relationships. This includes issues such as AI and ethics, fairness and bias, privacy and surveillance, platform power and democracy. This textbook is intended for students, teachers, and policy makers interested in digital humanism. It is designed for stand-alone and for complementary courses in computer science, or curricula in science, engineering, humanities and social sciences. Each chapter includes questions for students and an annotated reading list to dive deeper into the associated chapter material. The book aims to provide readers with as wide an exposure as possible to digital advances and their consequences for humanity. It includes constructive ideas and approaches that seek to ensure that our collective digital future is determined through human agency.

Intelligent Decision Support

Intelligent Decision Support
Author: Shi-Yu Huang
Publisher: Springer Science & Business Media
Total Pages: 502
Release: 1992-08-31
Genre: Computers
ISBN: 9780792319238

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Intelligent decision support is based on human knowledge related to a specific part of a real or abstract world. When the knowledge is gained by experience, it is induced from empirical data. The data structure, called an information system, is a record of objects described by a set of attributes. Knowledge is understood here as an ability to classify objects. Objects being in the same class are indiscernible by means of attributes and form elementary building blocks (granules, atoms). In particular, the granularity of knowledge causes that some notions cannot be expressed precisely within available knowledge and can be defined only vaguely. In the rough sets theory created by Z. Pawlak each imprecise concept is replaced by a pair of precise concepts called its lower and upper approximation. These approximations are fundamental tools and reasoning about knowledge. The rough sets philosophy turned out to be a very effective, new tool with many successful real-life applications to its credit. It is worthwhile stressing that no auxiliary assumptions are needed about data, like probability or membership function values, which is its great advantage. The present book reveals a wide spectrum of applications of the rough set concept, giving the reader the flavor of, and insight into, the methodology of the newly developed disciplines. Although the book emphasizes applications, comparison with other related methods and further developments receive due attention.

Approaches for Community Decision Making and Collective Reasoning: Knowledge Technology Support

Approaches for Community Decision Making and Collective Reasoning: Knowledge Technology Support
Author: Yearwood, John
Publisher: IGI Global
Total Pages: 308
Release: 2012-06-30
Genre: Computers
ISBN: 1466618191

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"This book focuses on how groups can structure their activities toward making better decisions or in developing technologies for the support of decision-making in groups"--Provided by publisher.

Rough Sets

Rough Sets
Author: Andrea Campagner
Publisher: Springer Nature
Total Pages: 686
Release: 2024-01-31
Genre: Computers
ISBN: 3031509595

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This book constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2023, held in Krakow, Poland, during October 5–8, 2023. The 43 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Rough Set Models, Foundations, Three-way Decisions, Granular Models, Distances and Similarities, Hybrid Approaches, Applications, Cybersecurity and IoT.

Intelligent Decision Support Systems

Intelligent Decision Support Systems
Author: Miquel Sànchez-Marrè
Publisher: Springer Nature
Total Pages: 826
Release: 2022-03-28
Genre: Computers
ISBN: 3030877906

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This book, with invaluable contributions of Professor Franz Wotawa in chapters 5 and 7, presents the potential use and implementation of intelligent techniques in decision making processes involved in organizations and companies. It provides a thorough analysis of decisions, reviewing the classical decision theory, and describing usual methods for modeling the decision process. It describes the chronological evolution of Decision Support Systems (DSS) from early Management Information Systems until the appearance of Intelligent Decision Support Systems (IDSS). It explains the most commonly used intelligent techniques, both data-driven and model-driven, and illustrates the use of knowledge models in Decision Support through case studies. The author pays special attention to the whole Data Science process, which provides intelligent data-driven models in IDSS. The book describes main uncertainty models used in Artificial Intelligence to model inexactness; covers recommender systems; and reviews available development tools for inducing data-driven models, for using model-driven methods and for aiding the development of Intelligent Decision Support Systems.

Understanding Collective Decision Making

Understanding Collective Decision Making
Author: Lasse Gerrits
Publisher: Edward Elgar Publishing
Total Pages: 216
Release: 2017-07-28
Genre: Business & Economics
ISBN: 1783473150

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One of the main challenges facing contemporary society is to understand how people can make decisions together. Understanding Collective Decision Making builds on evolutionary theories and presents an analytical tool to analyse and visualise collective decision making. By combining theoretical research with real world case studies, the authors provide a coherent and conclusive solution to the often fragmented and dispersed literature on the subject.

Multicriteria Decision Aid and Artificial Intelligence

Multicriteria Decision Aid and Artificial Intelligence
Author: Michael Doumpos
Publisher: John Wiley & Sons
Total Pages: 328
Release: 2013-02-01
Genre: Business & Economics
ISBN: 1118522494

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Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring the assessment of large amounts of data. In recent years Multicriteria Decision Aid (MCDA) and Artificial Intelligence (AI) techniques have been applied with considerable success to support decision making in a wide range of complex real-world problems. The integration of MCDA and AI provides new capabilities relating to the structuring of complex decision problems in static and distributed environments. These include the handling of massive data sets, the modelling of ill-structured information, the construction of advanced decision models, and the development of efficient computational optimization algorithms for problem solving. This book covers a rich set of topics, including intelligent decision support technologies, data mining models for decision making, evidential reasoning, evolutionary multiobjective optimization, fuzzy modelling, as well as applications in management and engineering. Multicriteria Decision Aid and Artificial Intelligence: Covers all of the recent advances in intelligent decision making. Includes a presentation of hybrid models and algorithms for preference modelling and optimisation problems. Provides illustrations of new intelligent technologies and architectures for decision making in static and distributed environments. Explores the general topics on preference modelling and learning, along with the coverage of the main techniques and methodologies and applications. Is written by experts in the field. This book provides an excellent reference tool for the increasing number of researchers and practitioners interested in the integration of MCDA and AI for the development of effective hybrid decision support methodologies and systems. Academics and post-graduate students in the fields of operational research, artificial intelligence and management science or decision analysis will also find this book beneficial.

Algorithms in Decision Support Systems

Algorithms in Decision Support Systems
Author: Vicente García-Díaz
Publisher: MDPI
Total Pages: 162
Release: 2021-03-19
Genre: Technology & Engineering
ISBN: 3036505881

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This book aims to provide a new vision of how algorithms are the core of decision support systems (DSSs), which are increasingly important information systems that help to make decisions related to unstructured and semi-unstructured decision problems that do not have a simple solution from a human point of view. It begins with a discussion of how DSSs will be vital to improving the health of the population. The following article deals with how DSSs can be applied to improve the performance of people doing a specific task, like playing tennis. It continues with a work in which authors apply DSSs to insect pest management, together with an interactive platform for fitting data and carrying out spatial visualization. The next article improves how to reschedule trains whenever disturbances occur, together with an evaluation framework. The final works focus on different relevant areas of DSSs: 1) a comparison of ensemble and dimensionality reduction models based on an entropy criterion; 2) a radar emitter identification method based on semi-supervised and transfer learning; 3) design limitations, errors, and hazards in creating very large-scale DSSs; and 4) efficient rule generation for associative classification. We hope you enjoy all the contents in the book.