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Author: Ferenc Szidarovszky
Publisher: Elsevier Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
In almost every engineering, business or personal decision there are several conflicting objectives or criteria to be considered. The choice of objectives unavoidably involves subjective judgements, yet it is possible to embed many aspects of subjective judgements into a rigorous mathematical framework. Although there is a wide-ranging literature on the subject, there are relatively few books which attempt to present multi-objective decision making techniques in a comprehensive, unified and rigorous manner as this book does. It contains a wide spectrum of multiobjective decision making techniques based on quantitative, as well as qualitative, criteria. In addition to the description of the algorithms, their mathematical properties and practical applications are discussed. Of particular interest is the discussion of the relationship between the traditionally used concept of the efficient (non-dominated) solution and the equilibrium point used in game theoretical models.Other valuable features of the book are that it presents, for the first time, a rigorous mathematical framework for the multiobjective models and that it also includes the recently emphasized area of model choice, including a prescriptive algorithm. A complete set of clear examples illustrates each of the models and detailed case studies show the practical application of the models. Researchers and practitioners in decision making will find this a very useful book. It is an ideal learning and teaching aid for courses on multiple criteria decision making in the management of large scale systems. In comparing projects, plans or alternatives on the basis of a set of quantitative and/or qualitative criteria, the principles and techniques discussed will be useful, if not indispensable, tools.
Author: Ferenc Szidarovszky
Publisher: Elsevier Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
In almost every engineering, business or personal decision there are several conflicting objectives or criteria to be considered. The choice of objectives unavoidably involves subjective judgements, yet it is possible to embed many aspects of subjective judgements into a rigorous mathematical framework. Although there is a wide-ranging literature on the subject, there are relatively few books which attempt to present multi-objective decision making techniques in a comprehensive, unified and rigorous manner as this book does. It contains a wide spectrum of multiobjective decision making techniques based on quantitative, as well as qualitative, criteria. In addition to the description of the algorithms, their mathematical properties and practical applications are discussed. Of particular interest is the discussion of the relationship between the traditionally used concept of the efficient (non-dominated) solution and the equilibrium point used in game theoretical models.Other valuable features of the book are that it presents, for the first time, a rigorous mathematical framework for the multiobjective models and that it also includes the recently emphasized area of model choice, including a prescriptive algorithm. A complete set of clear examples illustrates each of the models and detailed case studies show the practical application of the models. Researchers and practitioners in decision making will find this a very useful book. It is an ideal learning and teaching aid for courses on multiple criteria decision making in the management of large scale systems. In comparing projects, plans or alternatives on the basis of a set of quantitative and/or qualitative criteria, the principles and techniques discussed will be useful, if not indispensable, tools.
Author: Ferenc Szidarovszky
Publisher:
ISBN: 9780444424280
Category : Decision making
Languages : en
Pages : 506
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Book Description
Author: Gregory S. Parnell
Publisher: John Wiley & Sons
ISBN: 0470934719
Category : Technology & Engineering
Languages : en
Pages : 544
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Book Description
Decision Making in Systems Engineering and Management is a comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems. Grounded in systems thinking and based on sound systems engineering principles, the systems decisions process (SDP) leverages multiple objective decision analysis, multiple attribute value theory, and value-focused thinking to define the problem, measure stakeholder value, design creative solutions, explore the decision trade off space in the presence of uncertainty, and structure successful solution implementation. In addition to classical systems engineering problems, this approach has been successfully applied to a wide range of challenges including personnel recruiting, retention, and management; strategic policy analysis; facilities design and management; resource allocation; information assurance; security systems design; and other settings whose structure can be conceptualized as a system.
Author: Jiuping Xu
Publisher: Springer
ISBN: 3642168957
Category : Technology & Engineering
Languages : en
Pages : 440
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Book Description
Decision makers usually face multiple, conflicting objectives and the complicated fuzzy-like environments in the real world. What are the fuzzy-like environments? How do we model the multiple objective decision making problems under fuzzy-like environments? How do you deal with these models? In order to answer these questions, this book provides an up-to-date methodology system for fuzzy-like multiple objective decision making, which includes modelling system, model analysis system, algorithm system and application system in structure optimization problem, selection problem, purchasing problem, inventory problem, logistics problem and so on. Researchers, practitioners and students in management science, operations research, information science, system science and engineering science will find this work a useful reference.
Author: Hubert H.G. Savenije
Publisher: EOLSS Publications
ISBN: 1848262248
Category :
Languages : en
Pages : 360
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Book Description
Water Resources Management is a component of Encyclopedia of Water Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. This 2-volume set contains several chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It carries state-of-the-art knowledge in the fields of Water Resources Management and presents an integrated water resources management, water and sustainable development, water scarcity, and the more technical aspects of water resources planning. Important issues related to international rivers, the economics of water, and the legal and institutional aspects of water are addressed. And new approaches to water conservation, non-waterborne sanitation, and economic valuation are presented. These two volumes are aimed at the following five major target audiences: University and College Students Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers, NGOs and GOs.
Author: Jiuping Xu
Publisher: Springer
ISBN: 3319033980
Category : Technology & Engineering
Languages : en
Pages : 378
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Book Description
Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization
Author: F S Chou
Publisher: World Scientific
ISBN: 9814554561
Category :
Languages : en
Pages : 1264
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Book Description
With the advent of powerful computers and novel mathematical programming techniques, the multidisciplinary field of optimization has advanced to the stage that quite complicated systems can be addressed. The conference was organized to provide a platform for the exchanging of new ideas and information and for identifying areas for future research. The contributions covered both theoretical techniques and a rich variety of case studies to which optimization can be usefully applied.
Author: Jean-Charles Pomerol
Publisher: Springer Science & Business Media
ISBN: 1461544599
Category : Business & Economics
Languages : en
Pages : 405
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Book Description
Multicriterion Decision in Management: Principles and Practice is the first multicriterion analysis book devoted exclusively to discrete multicriterion decision making. Typically, multicriterion analysis is used in two distinct frameworks: Firstly, there is multiple criteria linear programming, which is an extension of the results of linear programming and its associated algorithms. Secondly, there is discrete multicriterion decision making, which is concerned with choices among a finite number of possible alternatives such as projects, investments, decisions, etc. This is the focus of this book. The book concentrates on the basic principles in the domain of discrete multicriterion analysis, and examines each of these principles in terms of their properties and their implications. In multicriterion decision analysis, any optimum in the strict sense of the term does not exist. Rather, multicriterion decision making utilizes tools, methods, and thinking to examine several solutions, each having their advantages and disadvantages, depending on one's point of view. Actually, various methods exist for reaching a good choice in a multicriterion setting and even a complete ranking of the alternatives. The book describes and compares these methods, so-called `aggregation methods', with their advantages and their shortcomings. Clearly, organizations are becoming more complex, and it is becoming harder and harder to disregard complexity of points of view, motivations, and objectives. The day of the single objective (profit, social environment, etc. ) is over and the wishes of all those involved in all their diversity must be taken into account. To do this, a basic knowledge of multicriterion decision analysis is necessary. The objective of this book is to supply that knowledge and enable it to be applied. The book is intended for use by practitioners (managers, consultants), researchers, and students in engineering and business.
Author: Yoshikazu Sawaragi
Publisher: Springer Science & Business Media
ISBN: 3642466095
Category : Business & Economics
Languages : en
Pages : 467
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Book Description
In the past, technological as well as economic forces dominated the evolution of industrial structures: these factors have been treated extensively in numerous studies. However, another major factor which has begun to have a decisive influ ence on the performance of the chemical industry is technological risk and public and environmental health considerations, in particular those related to toxic and hazardous substances used in industrial production processes. The issues of con trolling process risk, waste streams, and potential environmental consequences of accidental or routine release of hazardous chemicals are rapidly gaining in impor tance vis CI vis narrow economic considerations, and are increasingly reflected in national and international legislation. In the context of several ongoing R&D projects aiming at the development of a new generation of tools for "intelligent" decision support, two related problem areas that have been identified are: (i) Structuring the industry or plant for the minimum cost of production as well as least risk - e.g., toxicity of chemicals involved. In this multi-criteria framework, we seek to resolve the conflict between industrial structure or plant design established by economic considerations and the one shaped by environmental concerns. This can be formulated as a design problem for nor mal production conditions. In section 3.1. and 3.2. an approach on how to deal with this problem at the industry and plant level is discussed.
Author: Dasika Nagesh Kumar
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120339762
Category : Decision making
Languages : en
Pages : 266
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Book Description
Multicriterion Decision-Making (MCDM) can be perceived as a process of evaluating real-world situations based on various qualitative/quantitative criteria in certain/uncertain/risky environments in order to find a suitable course of action/choice/strategy/policy among the several available options. This book concentrates on the basic principles of multicriterion analysis and acquaints the reader with the recent trends in MCDM analysis. It explains the basics of Structured Decision-Making (SDM) and describes the various features of traditional optimization methods such as linear and non-linear programming, and dynamic programming, as well as non-traditional optimization methods such as genetic algorithms, differential evolution, and simulated annealing and quenching. The text elaborates the normalization methods, weight estimation methods and multiobjective optimization methods both in traditional and non-traditional environments. Classification approaches with cluster validation indices, discrete MCDM methods both in deterministic and fuzzy approach and group decision-making methods are discussed in detail. Advanced topics in decision-making such as data envelopment analysis, Taguchi methodology, ant colony optimization, and particle swarm optimization are also covered --Publisher's description
