A Theory of the Inductive Learning of Multiattribute Preferences

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ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis A Theory of the Inductive Learning of Multiattribute Preferences by : Robert J. Meyer

Download or read book A Theory of the Inductive Learning of Multiattribute Preferences written by Robert J. Meyer and published by . This book was released on 1985 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Perspectives on Methodology in Consumer Research

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Publisher : Springer Science & Business Media
ISBN 13 : 1461386098
Total Pages : 427 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Perspectives on Methodology in Consumer Research by : David Brinberg

Download or read book Perspectives on Methodology in Consumer Research written by David Brinberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methodological advances in consumer behavior are increasing rapidly. We can characterize these advances by work in two logically separate but functionally related areas: (a) the philosophical underpinnings of our methods, and (b) the analytic strategies for examining the phenomena of interest in the field. An important aspect in communicating these advances is the demonstration of their use on focal problems in consumer behavior. Current research strategies and analytic techniques in the field of consumer research reflect the dominant logical empiricist epistemology. The develop ment of new epistemologies (e.g., scientific relativism, hypothetical realism), however, is likely to modify the dominant logical empiricist approach and is also likely to influence the analytic strategies used to conduct research. For instance, with the increased awareness of scientific relativism and hypothet ical realism, greater emphasis is anticipated for idiographic rather than nomo thetic designs, for observational rather than experimental designs, for process rather than static analyses, and for more sophisticated techniques for summariz ing findings across studies. The major theme underlying this volume is that conceptual, analytic, and sub stantive diversity are essential for consumer behavior research to advance. Col lectively, the chapters we present in this volume are a diverse set of perspectives for the study of consumer behavior. This volume is organized into three parts: (1) philosophical orientations toward consumer behavior research, (2) analytic strategies for consumer behavior research, and (3) applications of these orientations and strategies to current research areas.

Preference Learning

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Publisher : Springer Science & Business Media
ISBN 13 : 3642141250
Total Pages : 457 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Preference Learning by : Johannes Fürnkranz

Download or read book Preference Learning written by Johannes Fürnkranz and published by Springer Science & Business Media. This book was released on 2010-11-19 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.

Product Variety Management

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Publisher : Springer Science & Business Media
ISBN 13 : 1461555795
Total Pages : 247 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Product Variety Management by : Teck-Hua Ho

Download or read book Product Variety Management written by Teck-Hua Ho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Product proliferation has become a common phenomenon. Most companies now offer hundreds, if not thousands, of stock keeping units (SKUs) in order to compete in the market place. Companies with expanding product and service varieties face with problems of obtaining accurate demand forecasts, controlling production and inventory costs, and providing high quality and good delivery performance for the customers. Marketing managers often advocate widening product lines for increasing revenue and market share. However, the breadth of product line can also decrease the efficiency of manufacturing processes and distribution systems. Thus firms must weigh the benefits of product variety against its cost in order to determine the optimal level of product variety to offer to their customers. Academics and practitioners are interested in several fundamental questions about product variety. For instance, why do companies extend their product lines? Do consumers care about product variety? Will a brand with more variety enjoy higher market share? How should product variety be measured? How can a company exploit its product and process design to deliver a higher level of product variety quickly and cheaply? What should the level of product variety be and what should the price of each of the product variants be? What kind of 'challenges would a company face in offering a high level of product variety and how can these obstacles be overcome? The solutions to these questions span multiple functions and disciplines.

JMR, Journal of Marketing Research

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Publisher :
ISBN 13 :
Total Pages : 548 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis JMR, Journal of Marketing Research by :

Download or read book JMR, Journal of Marketing Research written by and published by . This book was released on 1989 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Readings on Market-driving Strategies

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Publisher : Prentice Hall
ISBN 13 :
Total Pages : 564 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Readings on Market-driving Strategies by : Gregory S. Carpenter

Download or read book Readings on Market-driving Strategies written by Gregory S. Carpenter and published by Prentice Hall. This book was released on 1997 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining the links between consumer behavior and marketing strategy, this reader brings to light the behavioral foundations of competitive brand strategy. The authors gather and explore classic and contemporary views of consumer judgment and decision-making. Suitable for a market strategies course as well as a course or seminar on consumer behavior.

Preference Learning

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Publisher : Springer
ISBN 13 : 9783642141263
Total Pages : 478 pages
Book Rating : 4.1/5 (412 download)

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Book Synopsis Preference Learning by : Johannes F Rnkranz

Download or read book Preference Learning written by Johannes F Rnkranz and published by Springer. This book was released on 2011-03-30 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Embedded Case Study Methods

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Publisher : SAGE
ISBN 13 : 9780761919469
Total Pages : 412 pages
Book Rating : 4.9/5 (194 download)

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Book Synopsis Embedded Case Study Methods by : Roland W. Scholz

Download or read book Embedded Case Study Methods written by Roland W. Scholz and published by SAGE. This book was released on 2002 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an embedded case study, the starting and end point is the comprehension of the case as a whole in its real-world context. This book bridges the gap between quantitative and qualitative approaches to complex problems when using this methodology.

SOFSEM 2010: Theory and Practice of Computer Science

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Publisher : Springer Science & Business Media
ISBN 13 : 364211265X
Total Pages : 795 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis SOFSEM 2010: Theory and Practice of Computer Science by : Jan van Leeuwen

Download or read book SOFSEM 2010: Theory and Practice of Computer Science written by Jan van Leeuwen and published by Springer Science & Business Media. This book was released on 2010-01-20 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2010, held in Špindleruv Mlýn, Czech Republic, in January 2009. The 53 revised full papers, presented together with 11 invited contributions, were carefully reviewed and selected from 134 submissions. SOFSEM 2010 was organized around the following four tracks: Foundations of computer science, principles of software construction, Data, knowledge, and intelligent systems and Web science.

Multiple Criteria Decision Analysis

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Publisher : Springer
ISBN 13 : 149393094X
Total Pages : 1356 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Multiple Criteria Decision Analysis by : Salvatore Greco

Download or read book Multiple Criteria Decision Analysis written by Salvatore Greco and published by Springer. This book was released on 2016-02-18 with total page 1356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evolutionary Algorithms for Solving Multi-Objective Problems

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Publisher : Springer Science & Business Media
ISBN 13 : 0387367977
Total Pages : 810 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello

Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2007-08-26 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

INFORMATION ECONOMICS AND POLICY

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

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Book Synopsis INFORMATION ECONOMICS AND POLICY by : D.M. Lamberton, D. Allen, M. Cave

Download or read book INFORMATION ECONOMICS AND POLICY written by D.M. Lamberton, D. Allen, M. Cave and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Collective Decisions: Theory, Algorithms And Decision Support Systems

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Publisher : Springer Nature
ISBN 13 : 303084997X
Total Pages : 268 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Collective Decisions: Theory, Algorithms And Decision Support Systems by : Tomasz Szapiro

Download or read book Collective Decisions: Theory, Algorithms And Decision Support Systems written by Tomasz Szapiro and published by Springer Nature. This book was released on 2021-10-13 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a token of appreciation for Professor Gregory E. Kersten (1949–2020), one of the most prominent and active researchers and scholars in the broadly perceived field of collective decisions, notably negotiations, the author of numerous influential papers, books, and edited volumes, a great scientist, mentor, and a loyal friend and colleague. This book contains some papers in the fields of group and collective decisions, voting, social choice, negotiations, and related topics, with examples of real applications. The authors are top researchers and scholars from all over the world whose life and academic career has been inspired and influenced by Professor Kersten.

Multicriteria Decision Aid and Artificial Intelligence

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Publisher : John Wiley & Sons
ISBN 13 : 1118522494
Total Pages : 328 pages
Book Rating : 4.1/5 (185 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.

Rough Sets, Fuzzy Sets and Knowledge Discovery

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Publisher : Springer Science & Business Media
ISBN 13 : 1447132386
Total Pages : 486 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Rough Sets, Fuzzy Sets and Knowledge Discovery by : Wojciech P. Ziarko

Download or read book Rough Sets, Fuzzy Sets and Knowledge Discovery written by Wojciech P. Ziarko and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this book is two-fold. Firstly, it is aimed at bringing to gether key research articles concerned with methodologies for knowledge discovery in databases and their applications. Secondly, it also contains articles discussing fundamentals of rough sets and their relationship to fuzzy sets, machine learning, management of uncertainty and systems of logic for formal reasoning about knowledge. Applications of rough sets in different areas such as medicine, logic design, image processing and expert systems are also represented. The articles included in the book are based on selected papers presented at the International Workshop on Rough Sets and Knowledge Discovery held in Banff, Canada in 1993. The primary methodological approach emphasized in the book is the mathematical theory of rough sets, a relatively new branch of mathematics concerned with the modeling and analysis of classification problems with imprecise, uncertain, or incomplete information. The methods of the theory of rough sets have applications in many sub-areas of artificial intelligence including knowledge discovery, machine learning, formal reasoning in the presence of uncertainty, knowledge acquisition, and others. This spectrum of applications is reflected in this book where articles, although centered around knowledge discovery problems, touch a number of related issues. The book is intended to provide an important reference material for students, researchers, and developers working in the areas of knowledge discovery, machine learning, reasoning with uncertainty, adaptive expert systems, and pattern classification.

Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642044409
Total Pages : 876 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems by : Ryszard Kowalczyk

Download or read book Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems written by Ryszard Kowalczyk and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. Web-based systems, social networks and multi-agent systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. Therefore, CCI is of great importance for today’s and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.

Agent Mediated Electronic Commerce

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Publisher : Springer Science & Business Media
ISBN 13 : 3540659552
Total Pages : 217 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Agent Mediated Electronic Commerce by : Pablo Noriega

Download or read book Agent Mediated Electronic Commerce written by Pablo Noriega and published by Springer Science & Business Media. This book was released on 1999-04-28 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electronic Commerce, as a gamut of activities involving electronic transactions performed over a network via software that may be more or less autonomous, is an emerging reality. Strategic studies have shown that electronic commerce is a major growth industry. The book is devoted to the challenges and opportunities that electronic commerce opens for agent technology. For some time, electronic commerce has attracted the avid attention of agent-builders and agent technology researchers, and these have decisively contributed to advancing the state of the art in the field. The second-generation software agents now entering the scene hold great promise for the further advancement of electronic commerce. This book originates from a workshop on Agent-Mediated Electronic Trading held at Agents'98 in Minneapolis, Minnesota, in May 1998. The eleven carefully reviewed and revised papers present a unique survey of software agents in the context of electronic commerce.