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Elsevier

Libros en Ciencias de la Decisión

  • Handbook of Critical Issues in Goal Programming

    • 1 Edición
    • C. Romero
    • Inglés
    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.

  • A History of Econometrics

    • 1 Edición
    • Volumen 165
    • R.J. Epstein
    • Inglés
    This comparative historical study of econometrics focuses on the development of econometric methods and their application to macroeconomics.The analysis covers the origins of modern econometrics in the USA and Europe during the 1920's and 30's, the rise of `structural estimation' in the 1940's and 50's as the dominant research paradigm, and the crisis of the large macroeconomic models in the 1970's and 80's.The completely original feature of this work is the use of previously unknown manuscript material from the archives of the Cowles Commission and other collections. The history so constructed shows that recent debates over methodology are incomplete without understanding the many deep criticisms that were first raised by the earliest researchers in the field.

  • Models and Methods in Multiple Criteria Decision Making

    • 1 Edición
    • Volumen 23
    • G. Colson + 1 más
    • Inglés
    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.

  • Computer Science and Operations Research: New Developments in their Interfaces

    • 1 Edición
    • Osman Balci
    • Inglés
    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.

  • Rethinking the Process of Operational Research & Systems Analysis

    • 1 Edición
    • R. Tomlinson + 1 más
    • Inglés
    Invited contributions from distinguished practitioners and methodologists of operational research and applied systems analysis which represent a true state-of-the-art and which provide, perhaps for the first time, a coherent, interlocking, set of ideas which may be considered the foundations of the subject as a science in its own right.

  • Markov Processes for Stochastic Modeling

    • 2 Edición
    • Oliver Ibe
    • Inglés
    Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model the behavior of many systems including communications systems, transportation networks, image segmentation and analysis, biological systems and DNA sequence analysis, random atomic motion and diffusion in physics, social mobility, population studies, epidemiology, animal and insect migration, queueing systems, resource management, dams, financial engineering, actuarial science, and decision systems. Covering a wide range of areas of application of Markov processes, this second edition is revised to highlight the most important aspects as well as the most recent trends and applications of Markov processes. The author spent over 16 years in the industry before returning to academia, and he has applied many of the principles covered in this book in multiple research projects. Therefore, this is an applications-oriente... book that also includes enough theory to provide a solid ground in the subject for the reader.

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

    From Production to Retail
    • 1 Edición
    • Calvin Wong + 2 más
    • Inglés
    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

    Practical Assessments through Data Collection and Data Analysis
    • 1 Edición
    • Mark Talabis + 1 más
    • Inglés
    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

    • 1 Edición
    • Inglés
    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.

  • Neuroeconomics

    Decision Making and the Brain
    • 1 Edición
    • Paul W. Glimcher + 3 más
    • Inglés
    Neuroeconomics is a new highly promising approach to understanding the neurobiology of decision making and how it affects cognitive social interactions between humans and societies/economies. This book is the first edited reference to examine the science behind neuroeconomics, including how it influences human behavior and societal decision making from a behavioral economics point of view. Presenting a truly interdisciplinary approach, Neuroeconomics presents research from neuroscience, psychology, and behavioral economics, and includes chapters by all the major figures in the field, including two Economics Nobel laureates.

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