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Multicriteria Decision-Making Under Conditions of Uncertainty

- A Fuzzy Set Perspective
Af: Petr Ekel, Witold Pedrycz, Joel Pereira Engelsk Hardback

Multicriteria Decision-Making Under Conditions of Uncertainty

- A Fuzzy Set Perspective
Af: Petr Ekel, Witold Pedrycz, Joel Pereira Engelsk Hardback
Tjek vores konkurrenters priser
A guide to the various models and methods to multicriteria decision-making in conditions of uncertainty presented in a systematic approach Multicriteria Decision-Making under Conditions of Uncertainty presents approaches that help to answer the fundamental questions at the center of all decision-making problems: "What to do?" and "How to do it?" The book explores methods of representing and handling diverse manifestations of the uncertainty factor and a multicriteria nature of problems that can arise in system design, planning, operation, and control. The authors—noted experts on the topic—and their book covers essential questions, including notions and fundamental concepts of fuzzy sets, models and methods of multiobjective as well as multiattribute decision-making, the classical approach to dealing with uncertainty of information and its generalization for analyzing multicriteria problems in condition of uncertainty, and more. This comprehensive book contains information on "harmonious solutions" in multiobjective problem-solving (analyzing  models), construction and analysis of models, results aimed at generating robust solutions in analyzing multicriteria problems under uncertainty, and more. In addition, the book includes illustrative examples of various applications, including real-world case studies related to the authors’ various industrial projects. This important resource: Explains the design and processing aspect of fuzzy sets, including construction of membership functions, fuzzy numbers, fuzzy relations, aggregation operations, and fuzzy sets transformationsDescribes models of multiobjective decision-making ( models), their analysis on the basis of using the Bellman-Zadeh approach to decision-making in a fuzzy environment, and their diverse applications, including multicriteria allocation of resourcesInvestigates models of multiattribute decision-making ( models) and their analysis on the basis of the construction and processing of fuzzy preference relations as well as demonstrating their applications to solve diverse classes of multiattribute problemsExplores notions of payoff matrices and fuzzy-set-based generalization and modification of the classic approach to decision-making under conditions of uncertainty to generate robust solutions in analyzing multicriteria problems  Written for students, researchers and practitioners in disciplines in which decision-making is of paramount relevance, Multicriteria Decision-Making under Conditions of Uncertainty presents a systematic and current approach that encompasses a range of models and methods as well as new applications. 
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A guide to the various models and methods to multicriteria decision-making in conditions of uncertainty presented in a systematic approach Multicriteria Decision-Making under Conditions of Uncertainty presents approaches that help to answer the fundamental questions at the center of all decision-making problems: "What to do?" and "How to do it?" The book explores methods of representing and handling diverse manifestations of the uncertainty factor and a multicriteria nature of problems that can arise in system design, planning, operation, and control. The authors—noted experts on the topic—and their book covers essential questions, including notions and fundamental concepts of fuzzy sets, models and methods of multiobjective as well as multiattribute decision-making, the classical approach to dealing with uncertainty of information and its generalization for analyzing multicriteria problems in condition of uncertainty, and more. This comprehensive book contains information on "harmonious solutions" in multiobjective problem-solving (analyzing  models), construction and analysis of models, results aimed at generating robust solutions in analyzing multicriteria problems under uncertainty, and more. In addition, the book includes illustrative examples of various applications, including real-world case studies related to the authors’ various industrial projects. This important resource: Explains the design and processing aspect of fuzzy sets, including construction of membership functions, fuzzy numbers, fuzzy relations, aggregation operations, and fuzzy sets transformationsDescribes models of multiobjective decision-making ( models), their analysis on the basis of using the Bellman-Zadeh approach to decision-making in a fuzzy environment, and their diverse applications, including multicriteria allocation of resourcesInvestigates models of multiattribute decision-making ( models) and their analysis on the basis of the construction and processing of fuzzy preference relations as well as demonstrating their applications to solve diverse classes of multiattribute problemsExplores notions of payoff matrices and fuzzy-set-based generalization and modification of the classic approach to decision-making under conditions of uncertainty to generate robust solutions in analyzing multicriteria problems  Written for students, researchers and practitioners in disciplines in which decision-making is of paramount relevance, Multicriteria Decision-Making under Conditions of Uncertainty presents a systematic and current approach that encompasses a range of models and methods as well as new applications. 
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Produktdetaljer
Sprog: Engelsk
Sider: 368
ISBN-13: 9781119534921
Indbinding: Hardback
Udgave:
ISBN-10: 1119534925
Kategori: Matematik
Udg. Dato: 3 feb 2020
Længde: 23mm
Bredde: 158mm
Højde: 234mm
Forlag: John Wiley & Sons Inc
Oplagsdato: 3 feb 2020
Forfatter(e): Petr Ekel, Witold Pedrycz, Joel Pereira
Forfatter(e) Petr Ekel, Witold Pedrycz, Joel Pereira

Kategori Matematik

ISBN-13 9781119534921

Sprog Engelsk

Indbinding Hardback

Sider 368

Udgave

Længde 23mm

Bredde 158mm

Højde 234mm

Udg. Dato 3 feb 2020

Oplagsdato 3 feb 2020

Forlag John Wiley & Sons Inc