Fuzzy optimization

Author: Dr. Miguel Delgado
Publisher:
ISBN: 9783790807493
Format: PDF, ePub
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The purpose of the book is to provide the most complete and comprehensive, up-to-date exposition of most relevant recent developments in the field of broadly perceived fuzzy optimization, with papers written by the best specialists in the field. New models of fuzzy multicriteria, discrete, geometric, fractioned, dynamic, stochastic, etc. programming are discussed. Relations to genetic algorithms, simulated annealing, neural networks, etc. presented in the book may lead to a new generation of fuzzy optimization models. Since fuzzy optimization models have already reached maturity, and on the other hand there is a worldwide eruption of interest in fuzzy technology, fuzzy optimization will certainly find an even wider applicability.

Fuzzy Reasoning in Decision Making and Optimization

Author: Christer Carlsson
Publisher: Physica
ISBN: 3790818054
Format: PDF, ePub, Docs
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Many decision-making tasks are too complex to be understood quantitatively, however, humans succeed by using knowledge that is imprecise rather than precise. Fuzzy logic resembles human reasoning in its use of imprecise informa tion to generate decisions. Unlike classical logic which requires a deep under standing of a system, exact equations, and precise numeric values, fuzzy logic incorporates an alternative way of thinking, which allows modeling complex systems using a higher level of abstraction originating from our knowledge and experience. Fuzzy logic allows expressing this knowledge with subjective concepts such as very big and a long time which are mapped into exact numeric ranges. Since knowledge can be expressed in a more natural by using fuzzy sets, many decision (and engineering) problems can be greatly simplified. Fuzzy logic provides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the un certainties associated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for representating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic do not provide an appropriate con ceptual framework for dealing with the representation of commonsense knowl edge, since such knowledge is by its nature both lexically imprecise and non categorical.

Multi criteria Decision Making Methods

Author: Evangelos Triantaphyllou
Publisher: Springer Science & Business Media
ISBN: 1475731574
Format: PDF, Mobi
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Multi-Criteria Decision Making (MCDM) has been one of the fastest growing problem areas in many disciplines. The central problem is how to evaluate a set of alternatives in terms of a number of criteria. Although this problem is very relevant in practice, there are few methods available and their quality is hard to determine. Thus, the question `Which is the best method for a given problem?' has become one of the most important and challenging ones. This is exactly what this book has as its focus and why it is important. The author extensively compares, both theoretically and empirically, real-life MCDM issues and makes the reader aware of quite a number of surprising `abnormalities' with some of these methods. What makes this book so valuable and different is that even though the analyses are rigorous, the results can be understood even by the non-specialist. Audience: Researchers, practitioners, and students; it can be used as a textbook for senior undergraduate or graduate courses in business and engineering.

Fuzzy Planning

Author: Gert de Roo
Publisher: Routledge
ISBN: 1317131134
Format: PDF, ePub, Docs
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Many of the key notions associated with spatial planning are essentially ’fuzzy’ in their nature. For example, while almost everyone accepts ’sustainability’ as an important goal of planning, the actions of the actors involved can render the achieved ’sustainability’ minimal, or even counterproductive. Putting forward an innovative way of looking at planning problems and policies, this volume suggests actor-consulting is important in addressing the fuzzy nature of planning. A tool to address differences in understanding, actor-consulting is based on an analysis of actor motives, perceptions and contributions. By inviting all actors to express their desired, actual and potential contributions to achieving an agreed outcome to a local policy issue, decision-makers have a means to develop their goals in line with the roles, motivation, perception and behaviour of the various actors involved. Including contributions from Patsy Healy, Johan Woltjer, Don Miller and Karel Martens, the book presents a variety of case studies which demonstrate the use of the actor-consulting model in addressing planning issues.

Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence AI

Author: Calvin Wong
Publisher: Elsevier
ISBN: 0857097849
Format: PDF, Docs
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Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems. Helps the reader gain an understanding of the key decision points in the apparel supply chain Discusses the fundamentals of artificial intelligence techniques for apparel management techniques Considers the use of neural networks in selecting the location of apparel manufacturing plants

Introduction to Residential Layout

Author: Mike Biddulph
Publisher: Routledge
ISBN: 0750662050
Format: PDF, ePub, Mobi
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Introduction to Residential Layout is ideal for students and practitioners of urban design, planning, engineering, architecture and landscape seeking a comprehensive guide to the theory and practice of designing and laying out residential areas. Mike Biddulph provides a clear and coherent framework from which he offers comprehensive practical advice for designers of housing developments. Referring to a wealth of international examples, this is a richly illustrated, accessible resource covering the whole range of issues that should be considered by anyone engaging in the planning and design of a new residential scheme. A successful residential development must work on many levels – financial, social and environmental. This book includes analysis of commercial viability, the importance of place making, environmental sustainability and designing accessibility. Mike Biddulph details successful approaches to designing out crime and maximising permeability as part of an integrated approach to urban design. Highly illustrated throughout, this work will show you how to turn design aspirations and principles into practical design solutions. Written without preconceptions, Introduction to Residential Design highlights the strengths and weaknesses of particular design solutions to encourage both depth of thought and creativity. Mike Biddulph is Senior Lecturer in Urban Design at Cardiff University * The only textbook that provides practical design advice sourced from principles of residential layout design * Comprehensive coverage of urban design theory gives an ideal introduction to the subject * Encompasses sustainability, accessibility and holistic design - all the key concerns in designing the built environment

Fuzzy Sets in Management Economics and Marketing

Author: Panos M. Pardalos
Publisher: World Scientific
ISBN: 9789812810892
Format: PDF, ePub, Docs
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The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the most recent advances in the development of innovative techniques for managing the uncertainty that prevails in the global economic and management environments. These techniques originate mainly from fuzzy sets theory. However, the book also explores the integration of fuzzy sets with other decision support and modeling disciplines, such as multicriteria decision aid, neural networks, genetic algorithms, machine learning, chaos theory, etc. The presentation of the advances in these fields and their real world applications adds a new perspective to the broad fields of management science and economics. Contents: Decision Making, Management and Marketing: Algorithms for Orderly Structuring of Financial OC ObjectsOCO (J Gil-Aluja); A Fuzzy Goal Programming Model for Evaluating a Hospital Service Performance (M Arenas et al.); A Group Decision Making Method Using Fuzzy Triangular Numbers (J L Garc a-Lapresta et al.); Developing Sorting Models Using Preference Disaggregation Analysis: An Experimental Investigation (M Doumpos & C Zopounidis); Stock Markets and Portfolio Management: The Causality Between Interest Rate, Exchange Rate and Stock Price in Emerging Markets: The Case of the Jakarta Stock Exchange (J Gupta et al.); Fuzzy Cognitive Maps in Stock Market (D Koulouriotis et al.); Neural Network vs Linear Models of Stock Returns: An Application to the UK and German Stock Market Indices (A Kanas); Corporate Finance and Banking Management: Expertons and Behaviour of Companies with Regard to the Adequacy Between Business Decisions and Objectives (A Couturier & B Fioleau); Multiple Fuzzy IRR in the Financial Decision Environment (S F Gonzilez et al.); An Automated Knowledge Generation Approach for Managing Credit Scoring Problems (M Michalopoulos et al.); and other papers. Readership: Financial managers, economists, management scientists and computer scientists."

Artificial Intelligence Techniques for Computer Graphics

Author: Dimitri Plemenos
Publisher: Springer Science & Business Media
ISBN: 3540851275
Format: PDF, Mobi
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The purpose of this volume is to present current work of the Intelligent Computer Graphics community, a community growing up year after year. Indeed, if at the beg- ning of Computer Graphics the use of Artificial Intelligence techniques was quite unknown, more and more researchers all over the world are nowadays interested in intelligent techniques allowing substantial improvements of traditional Computer Graphics methods. The other main contribution of intelligent techniques in Computer Graphics is to allow invention of completely new methods, often based on automation of a lot of tasks assumed in the past by the user in an imprecise and (human) time consuming manner. The history of research in Computer Graphics is very edifying. At the beginning, due to the slowness of computers in the years 1960, the unique research concern was visualisation. The purpose of Computer Graphics researchers was to find new visua- sation algorithms, less and less time consuming, in order to reduce the enormous time required for visualisation. A lot of interesting algorithms were invented during these first years of research in Computer Graphics. The scenes to be displayed were very simple because the computing power of computers was very low. So, scene modelling was not necessary and scenes were designed directly by the user, who had to give co-ordinates of vertices of scene polygons.

Fuzzy Multi Criteria Decision Making

Author: Cengiz Kahraman
Publisher: Springer Science & Business Media
ISBN: 0387768130
Format: PDF
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This work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.