Intelligent Strategies for Meta Multiple Criteria Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 1461515955
Total Pages : 206 pages
Book Rating : 4.51/5 ( download)

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Book Synopsis Intelligent Strategies for Meta Multiple Criteria Decision Making by : Thomas Hanne

Download or read book Intelligent Strategies for Meta Multiple Criteria Decision Making written by Thomas Hanne and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple criteria decision-making research has developed rapidly and has become a main area of research for dealing with complex decision problems which require the consideration of multiple objectives or criteria. Over the past twenty years, numerous multiple criterion decision methods have been developed which are able to solve such problems. However, the selection of an appropriate method to solve a particular decision problem is today's problem for a decision support researcher and decision-maker. Intelligent Strategies for Meta Multiple Criteria Decision-Making deals centrally with the problem of the numerous MCDM methods that can be applied to a decision problem. The book refers to this as a `meta decision problem', and it is this problem that the book analyzes. The author provides two strategies to help the decision-makers select and design an appropriate approach to a complex decision problem. Either of these strategies can be designed into a decision support system itself. One strategy is to use machine learning to design an MCDM method. This is accomplished by applying intelligent techniques, namely neural networks as a structure for approximating functions and evolutionary algorithms as universal learning methods. The other strategy is based on solving the meta decision problem interactively by selecting or designing a method suitable to the specific problem, for example, the constructing of a method from building blocks. This strategy leads to a concept of MCDM networks. Examples of this approach for a decision support system explain the possibilities of applying the elaborated techniques and their mutual interplay. The techniques outlined in the book can be used by researchers, students, and industry practitioners to better model and select appropriate methods for solving complex, multi-objective decision problems.

Soft Computing for Complex Multiple Criteria Decision Making

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Publisher : Springer Science & Business Media
ISBN 13 : 0387301771
Total Pages : 183 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis Soft Computing for Complex Multiple Criteria Decision Making by : Ignacy Kaliszewski

Download or read book Soft Computing for Complex Multiple Criteria Decision Making written by Ignacy Kaliszewski and published by Springer Science & Business Media. This book was released on 2006-06-07 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on providing technical tools to make the user of Multiple Criteria Decision Making (MCDM) methodologies independent of bulky optimization computations. These bulky computations have been a necessary, but limiting, characteristic of interactive MCDM methodologies and algorithms. The book removes these limitations of MCDM problems by reducing a problem's computational complexity. The result is a wider and more functional general framework for presenting, teaching, implementing and applying a wide range of MCDM methodologies.

Multicriteria Decision Aid and Artificial Intelligence

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Publisher : John Wiley & Sons
ISBN 13 : 1118522494
Total Pages : 328 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Multicriteria Decision Aid and Artificial Intelligence by : Michael Doumpos

Download or read book Multicriteria Decision Aid and Artificial Intelligence written by Michael Doumpos and published by John Wiley & Sons. This book was released on 2013-02-01 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multiple Criteria Decision Analysis: State of the Art Surveys

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Publisher : Springer Science & Business Media
ISBN 13 : 0387230815
Total Pages : 1063 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Multiple Criteria Decision Analysis: State of the Art Surveys by : Salvatore Greco

Download or read book Multiple Criteria Decision Analysis: State of the Art Surveys written by Salvatore Greco and published by Springer Science & Business Media. This book was released on 2006-01-20 with total page 1063 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.

Evolutionary Multi-Criterion Optimization

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Publisher : Springer
ISBN 13 : 3540447199
Total Pages : 725 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Eckart Zitzler

Download or read book Evolutionary Multi-Criterion Optimization written by Eckart Zitzler and published by Springer. This book was released on 2003-06-29 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.

Intelligent Support Systems for Marketing Decisions

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Publisher : Springer Science & Business Media
ISBN 13 : 146151147X
Total Pages : 517 pages
Book Rating : 4.72/5 ( download)

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Book Synopsis Intelligent Support Systems for Marketing Decisions by : Nikolaos F. Matsatsinis

Download or read book Intelligent Support Systems for Marketing Decisions written by Nikolaos F. Matsatsinis and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis. The authors systematically examine the use and implementation of these methodologies in making strategic marketing decisions. Part I discusses the basic concepts of multicriteria analysis vis-à-vis marketing decisions and in new product development situations. Part II presents basic concepts from the fields of Information Systems, Decision Support Systems, and Intelligent Decision Support Methods. In addition, specialized categories of DSS (multicriteria DSS, web-based DSS, group DSS, spatial DSS) are discussed in terms of their key features and current use in marketing applications. Part III presents IDSS and a multicriteria methodology for new product development. Further chapters present a developmental strategy for analyzing, designing, and implementing an Intelligent Marketing Decision Support System. The implementation discussion is illustrated with a real-world example of the methods and system in use.

Multiple Criteria Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0306481073
Total Pages : 515 pages
Book Rating : 4.79/5 ( download)

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Book Synopsis Multiple Criteria Optimization by : Xavier Gandibleux

Download or read book Multiple Criteria Optimization written by Xavier Gandibleux and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: The generalized area of multiple criteria decision making (MCDM) can be defined as the body of methods and procedures by which the concern for multiple conflicting criteria can be formally incorporated into the analytical process. MCDM consists mostly of two branches, multiple criteria optimization and multi-criteria decision analysis (MCDA). While MCDA is typically concerned with multiple criteria problems that have a small number of alternatives often in an environment of uncertainty (location of an airport, type of drug rehabilitation program), multiple criteria optimization is typically directed at problems formulated within a mathematical programming framework, but with a stack of objectives instead of just one (river basin management, engineering component design, product distribution). It is about the most modern treatment of multiple criteria optimization that this book is concerned. I look at this book as a nicely organized and well-rounded presentation of what I view as ”new wave” topics in multiple criteria optimization. Looking back to the origins of MCDM, most people agree that it was not until about the early 1970s that multiple criteria optimization c- gealed as a field. At this time, and for about the following fifteen years, the focus was on theories of multiple objective linear programming that subsume conventional (single criterion) linear programming, algorithms for characterizing the efficient set, theoretical vector-maximum dev- opments, and interactive procedures.

Handbook of Metaheuristics

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Publisher : Springer Science & Business Media
ISBN 13 : 0306480565
Total Pages : 560 pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Handbook of Metaheuristics by : Fred W. Glover

Download or read book Handbook of Metaheuristics written by Fred W. Glover and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation.

Evaluation and Decision Models with Multiple Criteria

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Publisher : Springer Science & Business Media
ISBN 13 : 0387310991
Total Pages : 460 pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Evaluation and Decision Models with Multiple Criteria by : Denis Bouyssou

Download or read book Evaluation and Decision Models with Multiple Criteria written by Denis Bouyssou and published by Springer Science & Business Media. This book was released on 2006-06-07 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Formal decision and evaluation models are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. This book is a guide aimed at helping the analyst to choose a model and use it consistently. A sound analysis of techniques is proposed and the presentation can be extended to most decision and evaluation models as a "decision aiding methodology".

Evolutionary Multi-Criterion Optimization

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Publisher : Springer
ISBN 13 : 3540369708
Total Pages : 825 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Evolutionary Multi-Criterion Optimization by : Carlos M. Fonseca

Download or read book Evolutionary Multi-Criterion Optimization written by Carlos M. Fonseca and published by Springer. This book was released on 2003-08-03 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, EMO 2003, held in Faro, Portugal, in April 2003. The 56 revised full papers presented were carefully reviewed and selected from a total of 100 submissions. The papers are organized in topical sections on objective handling and problem decomposition, algorithm improvements, online adaptation, problem construction, performance analysis and comparison, alternative methods, implementation, and applications.