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Alexander V. Lotov,Vladimir A. Bushenkov,Georgy K. Kamenev
Author : Alexander V. Lotov,Vladimir A. Bushenkov,Georgy K. Kamenev Publisher : Springer Science & Business Media Page : 324 pages File Size : 47,8 Mb Release : 2013-11-27 Category : Mathematics ISBN : 9781441988515
Interactive Decision Maps by Alexander V. Lotov,Vladimir A. Bushenkov,Georgy K. Kamenev Pdf
Since the volume may be of interest to a broad variety of people, it is arranged in parts that require different levels of mathematical background. Part I can be assessed by those interested in the application of visualization methods in decision making. In Part II computational methods are introduced in a relatively simple form. Part III is written for readers in applied mathematics interested in the theoretical basis of modern optimization.
Multiple Criteria Decision Analysis: State of the Art Surveys by José Figueira,Salvatore Greco,Matthias Ehrgott Pdf
MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis literature. These literature streams are: MCDA today, Foundations of MCDA, Our Ranking Methods, Multiattribute Utility Theory, Non-Classical MCDA Approaches, Multiobjective Mathematical Programming, Applications, and MCDM Software. The handbook presents the most up-to-date discussions on well-established methodologies and theories in the field, while systematically surveying emerging fields in MCDA such as conjoint measurement, fuzzy preferences, fuzzy integrals, rough sets, etc. MULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is a valuable reference volume (more than 2000 references) for the field of decision analysis. It provides graduate students, researchers, and practitioners with a sweeping survey of MCDA theory, methodologies, and applications. It is a handbook that is particularly suitable for use in seminars in Decision Analysis, Decision Support, and Decision Theory.
Author : Igor Linkov,Gregory A. Kiker,Richard J. Wenning Publisher : Springer Science & Business Media Page : 483 pages File Size : 45,5 Mb Release : 2007-03-31 Category : Business & Economics ISBN : 9781402058004
Environmental Security in Harbors and Coastal Areas by Igor Linkov,Gregory A. Kiker,Richard J. Wenning Pdf
History has shown how powerful societies decline when natural resources are unable to be replenished. This book explores the challenges facing coastal areas during in the near future. It emphasizes beliefs that the convergence of seemingly disparate viewpoints and uncertain and limited information is possible only by using available risk assessment methodologies and decision-making tools such as multi-criteria decision analysis (MCDA).
Multiobjective Optimization by Jürgen Branke,Kalyanmoy Deb,Kaisa Miettinen,Roman Slowiński Pdf
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.
Trends in Multicriteria Decision Making by Theodor Stewart Pdf
Preference modeling; Methodologies of MCDA; Negociation and Group Decision Support; Systems Thinking and Philosophical Issues; MCDA in Environmental and Natural Resource Management; General Applications of MCDA.
Thomas R. Harvey,Sharon M. Corkrum,Shari L. Fox,David C. Gustafson,Deanna K. Keuilian
Author : Thomas R. Harvey,Sharon M. Corkrum,Shari L. Fox,David C. Gustafson,Deanna K. Keuilian Publisher : Rowman & Littlefield Page : 157 pages File Size : 50,5 Mb Release : 2022-07-11 Category : Business & Economics ISBN : 9781475863192
The Practical Decision Maker by Thomas R. Harvey,Sharon M. Corkrum,Shari L. Fox,David C. Gustafson,Deanna K. Keuilian Pdf
The Practical Decision Maker identifies six steps essential to strong decision-making. Mind-set, problem definition, solution criteria, possible solutions, solution choice, and implementation are depicted along with concrete examples of each. 53 structuring devices are included to help readers move through each step of the decision-making process.
Visual Data Mining by Simeon Simoff,Michael H. Böhlen,Arturas Mazeika Pdf
The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need. Through a collection of 21 contributions selected from more than 46 submissions, it offers a systematic presentation of the state of the art in the field. The volume is structured in three parts on theory and methodologies, techniques, and tools and applications.
This title sets out to change our 'analytical' habit and invites enterprises to consider the bigger picture. Author Vince Barabba explains an elegantly simple approach to making better decisions.
Decision-making has been one of the principal victims of 'modern' thinking. The 'analytical' approach has, of course, brought us vaccines, electricity and the internal combustion engine. But, in seeking to break things down into their component parts and improve the parts, governments and businesses continue to make some astonishingly bad decisions. What's more, many enterprises still pay close attention to 'decisions' and 'decision-making' whilst overlooking the bigger picture: the organizational system within which those decisions get made. This elegant book is a guide for any public, private, government or non-profit organization that needs a system for making better decisions. It sets out to change our 'analytical' habit and invites enterprises to consider the bigger picture. Author Vince Barabba presents an elegantly simple approach to making better decisions. He calls this approach 'The Decision Loom' and bases it on Systems Thinking, Design Thinking and Complexity Theory. He also describes the four core capabilities that any organization must put in place for this approach to work. What's more (because we're humans and prefer stories to instruction manuals) the tapestry of the book is embroidered with fascinating examples from the author's lifetime of experience at the head of American corporate and public decision-making.
Interactive Decision Making by Liping Fang,Keith W. Hipel,D. Marc Kilgour Pdf
A comprehensive procedure for systematically examining actual disputes. Clearly explains the theory and practice of this novel approach to conflict modeling, analysis and resolution. Based upon ideas from both graph and game theories, it extends the realm of multiple objective-multiple-participant decision making in useful directions. Includes a wealth of illustrations and a computer disk.
Decision Trees and Applications with IBM SPSS Modeler by Marvin L. Pdf
A wide range of applications, such as R, SAS, MATLAB, and SPSS Statistics, provide a huge toolbox of methods to analyze large data and can be used by experts to find patterns and interesting structures in the data. Many of these tools are mainly programming languages, which assumes the analyst has deeper programming skills and an advanced background in IT and mathematics. Since this field is becoming more important, graphic user-interfaced data analysis software is starting to enter the market, providing "drag and drop" mechanisms for career changers and people who are not experts in programming or statistics.One of these easy to handle, data analytics applications is the IBM SPSS Modeler. This book is dedicated to the introduction and explanation of its data analysis power and focused in decision trees. The more important topics are the next: Decision Tree Models General Uses of Tree-Based Analysis C&RT Algorithms CHAID Algorithms QUEST Algorithms C5.0 Algorithms Decision Trees with IM SPSS Modeler Building a Decision Tree with the C5.0 Node Building a decision tree with the CHAID node The C&R Tree node and variable generation The QUEST node-Boosting & Imbalanced data Detection of diabetes-comparison of decision tree nodes Rule set and cross-validation with C5.0 The Auto Classifier Node Building a Stream with the Auto Classifier Node The Auto Classifier Model Nugget Models for credit rating with the Auto Classifier node SVM classifier Interactive decision Trees with IBM SPSS Modeler The Interactive Tree Builder Growing and Pruning the Tree Defining Custom Splits Customizing the Tree View Gains Risks The Growing Directives Generation Filter and Select Nodes Building a Tree Model Directly C&R Tree, CHAID, QUEST, and C 5.0 Models Nuggets Model Nuggets for Boosting, Bagging and Very Large Datasets