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Books in Decision sciences and computers

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1-10 of 12 results in All results

Decision Support Systems for Sustainable Computing

  • 1st Edition
  • May 23, 2024
  • Muhammet Deveci
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 7 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 5 9 8 - 6
Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

Fintech and the Remaking of Financial Institutions

  • 1st Edition
  • May 17, 2018
  • John Hill
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 3 4 9 7 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 3 4 9 8 - 6
FinTech and the Remaking of Financial Institutions explores the transformative potential of new entrants and innovations on business models. In its survey and analysis of FinTech, the book addresses current and future states of money and banking. It provides broad contexts for understanding financial services, products, technology, regulations and social considerations. The book shows how FinTech has evolved and will drive the future of financial services, while other FinTech books concentrate on particular solutions and adopt perspectives of individual users, companies and investors. It sheds new light on disruption, innovation and opportunity by placing the financial technology revolution in larger contexts.

Symmetry 2

  • 1st Edition
  • Volume 18
  • February 25, 2016
  • I. Hargittai
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 9 4 9 - 5
Symmetry 2 aims to present an overview of the contemporary status of symmetry studies, particularly in the arts and sciences, emphasizing both its role and importance. Symmetry is not only one of the fundamental concepts in science, but is also possibly the best unifying concept between various branches of science, the arts and other human activities. Whereas symmetry has been considered important for centuries primarily for its aesthetic appeal, this century has witnessed a dramatic enhancement of its status as a cornerstone in the sciences. In addition to traditionally symmetry-oriented fields such as crystallography and spectroscopy, the concept has made headway in fields as varied as reaction chemistry, nuclear physics, and the study of the origin of the universe. The book was initiated in response to the success of the first volume, which not only received good reviews, but received the award for "The Best Single Issue of a Journal" by the Association of American Publishers for 1986. The second volume extends the application of symmetry to new fields, such as medical sciences and economics, as well as investigating further certain topics introduced in Symmetry. The book is extensively illustrated and with over 64 contributions from 16 countries presents an international overview of the nature and diversity of symmetry studies today.

Models and Methods in Multiple Criteria Decision Making

  • 1st Edition
  • Volume 23
  • June 28, 2014
  • G. Colson + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 5 5 6 - 5
This volume is devoted to models and methods in multiple objectives decision making. The importance of the multiple dimensions of decision making was first recognised during the 1960s and since then progress has been made in that theoretical or application oriented contributions may now be categorized under two main headings:- Multiattribute Decision Making (MADM) which concerns the sorting, the ranking or the evaluation of objects of choice according to several criteria and Multiobjective Decision Making (MODM) which deals with the vector optimization in mathematical programming. The above are also presented in the context of various applications, namely banking, environment, health, manpower, media, portfolio and traffic control, resulting in a book for a wide variety of readers.

Handbook of Critical Issues in Goal Programming

  • 1st Edition
  • June 28, 2014
  • C. Romero
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 5 1 1 - 4
Goal Programming (GP) is perhaps the oldest and most widely used approach within the Multiple Criteria Decision Making (MCDM) paradigm. GP combines the logic of optimisation in mathematical programming with the decision maker's desire to satisfy several goals. The primary purpose of this book is to identify the critical issues in GP and to demonstrate different procedures capable of avoiding or mitigating the inherent pitfalls associated with these issues. The outcome of a search of the literature shows many instances where GP models produced misleading or even erroneous results simply because of a careless formulation of the problem. Rather than being in itself a textbook, Critical Issues in Goal Programming is designed to complement existing textbooks. It will be useful to students and researchers with a basic knowledge of GP as well as to those interested in building GP models which analyse real decision problems.

Computer Science and Operations Research: New Developments in their Interfaces

  • 1st Edition
  • May 23, 2014
  • Osman Balci
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 7 8 6 - 6
The interface of Operation Research and Computer Science - although elusive to a precise definition - has been a fertile area of both methodological and applied research. The papers in this book, written by experts in their respective fields, convey the current state-of-the-art in this interface across a broad spectrum of research domains which include optimization techniques, linear programming, interior point algorithms, networks, computer graphics in operations research, parallel algorithms and implementations, planning and scheduling, genetic algorithms, heuristic search techniques and data retrieval.

Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)

  • 1st Edition
  • January 24, 2013
  • Calvin Wong + 2 more
  • English
  • Hardback
    9 7 8 - 0 - 8 5 7 0 9 - 7 7 9 - 8
  • eBook
    9 7 8 - 0 - 8 5 7 0 9 - 7 8 4 - 2
Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems.

Information Security Risk Assessment Toolkit

  • 1st Edition
  • October 17, 2012
  • Mark Talabis + 1 more
  • English
  • Paperback
    9 7 8 - 1 - 5 9 7 4 9 - 7 3 5 - 0
  • eBook
    9 7 8 - 1 - 5 9 7 4 9 - 9 7 5 - 0
In order to protect company’s information assets such as sensitive customer records, health care records, etc., the security practitioner first needs to find out: what needs protected, what risks those assets are exposed to, what controls are in place to offset those risks, and where to focus attention for risk treatment. This is the true value and purpose of information security risk assessments. Effective risk assessments are meant to provide a defendable analysis of residual risk associated with your key assets so that risk treatment options can be explored. Information Security Risk Assessment Toolkit gives you the tools and skills to get a quick, reliable, and thorough risk assessment for key stakeholders.

Philosophy of Information

  • 1st Edition
  • November 10, 2008
  • Pieter Adriaans + 4 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 1 7 2 6 - 5
  • eBook
    9 7 8 - 0 - 0 8 - 0 9 3 0 8 4 - 8
Information is a recognized fundamental notion across the sciences and humanities, which is crucial to understanding physical computation, communication, and human cognition. The Philosophy of Information brings together the most important perspectives on information. It includes major technical approaches, while also setting out the historical backgrounds of information as well as its contemporary role in many academic fields. Also, special unifying topics are high-lighted that play across many fields, while we also aim at identifying relevant themes for philosophical reflection. There is no established area yet of Philosophy of Information, and this Handbook can help shape one, making sure it is well grounded in scientific expertise. As a side benefit, a book like this can facilitate contacts and collaboration among diverse academic milieus sharing a common interest in information.

Info-Gap Decision Theory

  • 2nd Edition
  • August 7, 2006
  • Yakov Ben-Haim
  • English
  • Hardback
    9 7 8 - 0 - 1 2 - 3 7 3 5 5 2 - 2
  • eBook
    9 7 8 - 0 - 0 8 - 0 4 6 5 7 0 - 8
Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models.

Related subjects

Information systems decision support systems