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Evaluation And Decision Models With Multiple Criteria

Author: Raymond Bisdorff
Publisher: Springer
ISBN: 3662468166
Size: 48.52 MB
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This book showcases a large variety of multiple criteria decision applications (MCDAs), presenting them in a coherent framework provided by the methodology chapters and the comments accompanying each case study. The chapters describing MCDAs invite the reader to experiment with MCDA methods and perhaps develop new variants using data from these case studies or other cases they encounter, equipping them with a broader perception of real-world problems and how to overcome them with the help of MCDAs.

Multiple Criteria Decision Analysis

Author: Salvatore Greco
Publisher: Springer
ISBN: 149393094X
Size: 64.80 MB
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In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date. Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the “pre-theoretical” assumptions of MCDA. Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences. Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods. Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis. Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO). Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis. Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

Multiple Criteria Decision Making

Author: Constantin Zopounidis
Publisher: Springer
ISBN: 3319392921
Size: 33.37 MB
Format: PDF
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This book presents a broad range of innovative applications and case studies in all areas of management and engineering, including public administration, finance, marketing, engineering, transportation, and energy systems. It addresses issues related to problem structuring, preference modeling, and model construction, presenting a framework that provides clear decision-making support in practice. In addition, it includes hybrid and integrated techniques combining multiple criteria decision making (MCDM) with other analytical methods. The book reflects the growing impact of MCDM in the field of management science and operations research. Building on recent and established theoretical advances and presenting their applications in specific domains, it offers a comprehensive resource for researchers, graduate students and professionals alike.

Financial Decision Aid Using Multiple Criteria

Author: Hatem Masri
Publisher: Springer
ISBN: 3319688766
Size: 57.51 MB
Format: PDF, ePub
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This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical results in areas such as portfolio management, investment appraisal, banking, and corporate finance, among others. The book addresses issues related to problem structuring and modeling, solution techniques, comparative analyses, as well as combinations of MCDM models with other analytical methodologies.

Evaluation And Decision Models With Multiple Criteria

Author: Denis Bouyssou
Publisher: Springer Science & Business Media
ISBN: 0387310991
Size: 10.13 MB
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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".

Multiple Criteria Decision Making And Aiding

Author: Sandra Huber
Publisher: Springer
ISBN: 3319993046
Size: 45.68 MB
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This book introduces students on Multiple Criteria Decision Aiding and Making courses to practical, real-world cases. Each case study introduces a problem or situation together with a method, and a description and explanation of a computer application. In this sense each chapter is based on four pillars: the problem, the model building, the methods and their implementation. The book presents and elaborates a rich and comprehensive set of practical problems comprising multiple criteria, including numerous approaches for their solution, for decision support or decision aid. It complements traditional textbooks and lecture material by employing case studies to promote a deeper understanding of the investigated concepts and help students apply these methods to other areas.

Evaluating And Applying Decision Models

Author: Denis Bouyssou
Publisher: Springer
ISBN: 9780387718880
Size: 60.13 MB
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In the first volume of the set, Evaluation and Decision Models: A Critical Perspective, the purpose is to provide a critical thinking framework for all individuals utilizing decision and evaluation models, whether it be for research or applications. In the book, the authors criticized formal models while pointing out where these models can be useful. On the other hand, Evaluation and Decision Models with Multiple Criteria is a guide, a way of reasoning aimed at helping the analyst to choose a model and use it consistently. The authors propose, often using an axiomatic point of view, a sound analysis of techniques aimed at supporting the decision aiding process. The presentation is carried out within a unique framework that can be extended to most decision and evaluation models, as a "decision aiding methodology".

The Management Of Uncertainty Approaches Methods And Applications

Author: Luc Wilkin
Publisher: Springer Science & Business Media
ISBN: 9400944586
Size: 11.68 MB
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For thirty years, the literature on decision-making and planning has been divided into two camps : work premised on rational models of choice and work designed to discredit such models. The sustained critic of fully rational decision-making theories has al ready a long history and a constant message to deliver : in practice, consequential decision-making hardly fulfills the canons of perfect rationality. There is also evidence that decision-making and planning are not unitary processes. Although the concept of "decision-making" connotes the idea of a single process, making a single choice involves a complex of processing tasks : structuring the problem, finding alternatives worth considering, deciding what information is relevant, assessing various consequences, and a variety of others. The aim of this volume is to bring together and try to inter relate some of the concepts and relevant knowledge from various disciplines concerned with one important aspect of this complex process : the management of uncertainty. It is hardly necessary to reiterate the case made by numerous authors about our changing and increasingly uncertain world. Suffice it to say here that it is uncertainty about the future, and in many cases about the past and the present also, which makes decision-making and planning so difficul t. The management of uncertainty may be defined as the way in which uncertainty is treated and processed in decision-making.

Evaluation In Planning

Author: Nathaniel Lichfield
Publisher: Springer Science & Business Media
ISBN: 9401714959
Size: 28.25 MB
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This book is the result of a three day workshop on "Evaluation in theory and practice in spatial planning" held in Ramsey Hall, University College London, in September 1996. Some 30 people from 8 different countries attended and 20 papers were presented. The majority of them now form the basis for this book. This occasion was the third on the topic, the two preceding having taken place in Umea in June 1992 and in Bari in 1994. Following these three meetings, we can now say that this small, industrious, international family really enjoy meeting up from time to time at each others places, in the presence of older members and new children, each one presenting his/her own recent experiences. It particularly enjoys exchanging views and arguing about the current state and the future of evaluation in spatial planning (all families have their vices ... ). It is also pleasing to see these experiences and discussions resulting in a book for those who could not attend and for the broader clan in the field. Not long time ago, but ages in the accelerated academic time scale, evaluation in planning established its own role and distinct features as an instrument for helping the decision-making process. Now this role and these features are exposed to major challenges. First, the evolution of planning theory has lead to the conception of new planning paradigms, based on theories of complexity and communicative rationality.