Intelligent Strategies for Meta Multiple Criteria Decision Making

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Release : 2012-12-06
Genre : Business & Economics
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Book Rating : 955/5 ( reviews)

Intelligent Strategies for Meta Multiple Criteria Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Strategies for Meta Multiple Criteria Decision Making write by Thomas Hanne. This book was released on 2012-12-06. Intelligent Strategies for Meta Multiple Criteria Decision Making available in PDF, EPUB and Kindle. 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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Release : 2006-06-07
Genre : Business & Economics
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Book Rating : 771/5 ( reviews)

Soft Computing for Complex Multiple Criteria Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Soft Computing for Complex Multiple Criteria Decision Making write by Ignacy Kaliszewski. This book was released on 2006-06-07. Soft Computing for Complex Multiple Criteria Decision Making available in PDF, EPUB and Kindle. 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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Release : 2013-02-01
Genre : Business & Economics
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Book Rating : 494/5 ( reviews)

Multicriteria Decision Aid and Artificial Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multicriteria Decision Aid and Artificial Intelligence write by Michael Doumpos. This book was released on 2013-02-01. Multicriteria Decision Aid and Artificial Intelligence available in PDF, EPUB and Kindle. 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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Release : 2006-01-20
Genre : Business & Economics
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Book Rating : 815/5 ( reviews)

Multiple Criteria Decision Analysis: State of the Art Surveys - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Criteria Decision Analysis: State of the Art Surveys write by Salvatore Greco. This book was released on 2006-01-20. Multiple Criteria Decision Analysis: State of the Art Surveys available in PDF, EPUB and Kindle. 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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Release : 2003-06-29
Genre : Mathematics
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Book Rating : 199/5 ( reviews)

Evolutionary Multi-Criterion Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Multi-Criterion Optimization write by Eckart Zitzler. This book was released on 2003-06-29. Evolutionary Multi-Criterion Optimization available in PDF, EPUB and Kindle. 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.