Uncertain Fuzzy Preference Relations And Their Applications

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Uncertain Fuzzy Preference Relations and Their Applications

Author : Zaiwu Gong
Publisher : Springer
ISBN 13 : 3642284485
Total Pages : 219 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Uncertain Fuzzy Preference Relations and Their Applications by : Zaiwu Gong

Download or read book Uncertain Fuzzy Preference Relations and Their Applications written by Zaiwu Gong and published by Springer. This book was released on 2012-08-23 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the basis of fuzzy sets and some of their relevant generalizations, this book systematically presents the fundamental principles and applications of group decision making under different scenarios of preference relations. By using intuitionistic knowledge as the field of discourse, this work investigates by utilizing innovative research means the fundamental principles and methods of group decision making with various different intuitionistic preferences: Mathematical reasoning is employed to study the consistency of group decision making; Methods of fusing information are applied to look at the aggregation of multiple preferences; Techniques of soft computing and optimization are utilized to search for satisfactory decision alternatives. Each chapter follows the following structurally clear format of presentation: literature review, development of basic theory, verification and reasoning of principles , construction of models and computational schemes, and numerical examples, which cover such areas as technology, enterprise competitiveness, selection of airlines, experts decision making in weather-sensitive enterprises, etc. In terms of theoretical principles, this book can be used as a reference for researchers in the areas of management science, information science, systems engineering, operations research, and other relevant fields. It can also be employed as textbook for upper level undergraduate students and graduate students. In terms of applications, this book will be a good companion for all those decision makers in government, business, and technology areas.

Uncertainty Data in Interval-Valued Fuzzy Set Theory

Author : Barbara Pękala
Publisher : Springer
ISBN 13 : 3319939106
Total Pages : 191 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Uncertainty Data in Interval-Valued Fuzzy Set Theory by : Barbara Pękala

Download or read book Uncertainty Data in Interval-Valued Fuzzy Set Theory written by Barbara Pękala and published by Springer. This book was released on 2018-06-27 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.

Multicriteria Decision-Making Under Conditions of Uncertainty

Author : Petr Ekel
Publisher : John Wiley & Sons
ISBN 13 : 1119534925
Total Pages : 368 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Multicriteria Decision-Making Under Conditions of Uncertainty by : Petr Ekel

Download or read book Multicriteria Decision-Making Under Conditions of Uncertainty written by Petr Ekel and published by John Wiley & Sons. This book was released on 2019-12-12 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 “i>X, F> models), construction and analysis of “i>X, R/i” 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 transformations Describes models of multiobjective decision-making (“i>X. M/i” 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 resources Investigates models of multiattribute decision-making (“i>X, R/i” 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 problems Explores 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.

Triangular Fuzzy Neutrosophic Preference Relations and Their Application in Enterprise Resource Planning Software Selection

Author : Fanyong Meng
Publisher : Infinite Study
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4./5 ( download)

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Book Synopsis Triangular Fuzzy Neutrosophic Preference Relations and Their Application in Enterprise Resource Planning Software Selection by : Fanyong Meng

Download or read book Triangular Fuzzy Neutrosophic Preference Relations and Their Application in Enterprise Resource Planning Software Selection written by Fanyong Meng and published by Infinite Study. This book was released on with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprise resource planning (ERP) system selection is one of the most important topics in an ERP implementation program that ensures the success of the system. Because of the inherent complexity of ERP systems, it is difficult and time consuming for the organization to select the suitable ERP software.

Multicriteria Decision-Making Under Conditions of Uncertainty

Author : Petr Ekel
Publisher : John Wiley & Sons
ISBN 13 : 1119534909
Total Pages : 351 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Multicriteria Decision-Making Under Conditions of Uncertainty by : Petr Ekel

Download or read book Multicriteria Decision-Making Under Conditions of Uncertainty written by Petr Ekel and published by John Wiley & Sons. This book was released on 2019-11-07 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 “i>X, F> models), construction and analysis of “i>X, R/i” 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 transformations Describes models of multiobjective decision-making (“i>X. M/i” 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 resources Investigates models of multiattribute decision-making (“i>X, R/i” 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 problems Explores 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.

Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications

Author : Jesús Medina
Publisher : Springer
ISBN 13 : 3319914790
Total Pages : 773 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications by : Jesús Medina

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications written by Jesús Medina and published by Springer. This book was released on 2018-05-29 with total page 773 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).

Fuzzy Techniques for Decision Making 2018

Author : José Carlos R. Alcantud
Publisher : MDPI
ISBN 13 : 3039364154
Total Pages : 776 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Fuzzy Techniques for Decision Making 2018 by : José Carlos R. Alcantud

Download or read book Fuzzy Techniques for Decision Making 2018 written by José Carlos R. Alcantud and published by MDPI. This book was released on 2020-12-02 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches.

Uncertainty Modeling in Knowledge Engineering and Decision Making

Author :
Publisher : World Scientific
ISBN 13 : 9814417742
Total Pages : 1373 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Uncertainty Modeling in Knowledge Engineering and Decision Making by :

Download or read book Uncertainty Modeling in Knowledge Engineering and Decision Making written by and published by World Scientific. This book was released on 2012 with total page 1373 pages. Available in PDF, EPUB and Kindle. Book excerpt: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Sample Chapter(s). Foreword (55 KB). Evaluation of Manufacturing Technology of Photovoltaic Cells (124 KB). Contents: Decision Making and Decision Support Systems; Uncertainty Modeling; Foundations of Computational Intelligence; Statistics, Data Analysis and Data Mining; Intelligent Information Processing; Productivity and Reliability; Applied Research. Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.

Uncertainty and Intelligent Information Systems

Author : Bernadette Bouchon
Publisher : World Scientific
ISBN 13 : 9812792341
Total Pages : 537 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Uncertainty and Intelligent Information Systems by : Bernadette Bouchon

Download or read book Uncertainty and Intelligent Information Systems written by Bernadette Bouchon and published by World Scientific. This book was released on 2008 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.

Intuitionistic Preference Modeling and Interactive Decision Making

Author : Zeshui Xu
Publisher : Springer
ISBN 13 : 3642284035
Total Pages : 241 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Intuitionistic Preference Modeling and Interactive Decision Making by : Zeshui Xu

Download or read book Intuitionistic Preference Modeling and Interactive Decision Making written by Zeshui Xu and published by Springer. This book was released on 2013-08-30 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an in-depth and comprehensive introduction to the priority methods of intuitionistic preference relations, the consistency and consensus improving procedures for intuitionistic preference relations, the approaches to group decision making based on intuitionistic preference relations, the approaches and models for interactive decision making with intuitionistic fuzzy information, and the extended results in interval-valued intuitionistic fuzzy environments.

Advances in Multi-Sensor Information Fusion: Theory and Applications 2017

Author : Xue-Bo Jin
Publisher : MDPI
ISBN 13 : 3038429333
Total Pages : 569 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 by : Xue-Bo Jin

Download or read book Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 written by Xue-Bo Jin and published by MDPI. This book was released on 2018-06-26 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors

Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations

Author : Sui-Zhi Luo
Publisher : Infinite Study
ISBN 13 :
Total Pages : 21 pages
Book Rating : 4./5 ( download)

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Book Synopsis Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations by : Sui-Zhi Luo

Download or read book Selecting Project Delivery Systems Based on Simplified Neutrosophic Linguistic Preference Relations written by Sui-Zhi Luo and published by Infinite Study. This book was released on with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project delivery system selection is an essential part of project management. In the process of choosing appropriate transaction model, many factors should be under consideration, such as the capability and experience of proprietors, project implementation risk, and so on. How to make their comprehensive evaluations and select the optimal delivery system?

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Weiru Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3642221513
Total Pages : 775 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Weiru Liu

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Weiru Liu and published by Springer Science & Business Media. This book was released on 2011-06-24 with total page 775 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011, held in Belfast, UK, in June/July 2011. The 60 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on argumentation; Bayesian networks and causal networks; belief functions; belief revision and inconsistency handling; classification and clustering; default reasoning and logics for reasoning under uncertainty; foundations of reasoning and decision making under uncertainty; fuzzy sets and fuzzy logic; implementation and applications of uncertain systems; possibility theory and possibilistic logic; and uncertainty in databases.

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Author : Davide Ciucci
Publisher : Springer Nature
ISBN 13 : 3031089715
Total Pages : 825 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Information Processing and Management of Uncertainty in Knowledge-Based Systems by : Davide Ciucci

Download or read book Information Processing and Management of Uncertainty in Knowledge-Based Systems written by Davide Ciucci and published by Springer Nature. This book was released on 2022-07-04 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1601-1602) constitutes the proceedings of the 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2021, held in Milan, Italy, in July 2022. The 124 papers were carefully reviewed and selected from 188 submissions. The papers are organized in topical sections as follows: aggregation theory beyond the unit interval; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy mathematical analysis and its applications; generalized sets and operators; information fusion techniques based on aggregation functions, pre-aggregation functions, and their generalizations; interval uncertainty; knowledge acquisition, representation and reasoning; logical structures of opposition and logical syllogisms; mathematical fuzzy logics; theoretical and applied aspects of imprecise probabilities; data science and machine learning; decision making modeling and applications; e-health; fuzzy methods in data mining and knowledge discovery; soft computing and artificia intelligence techniques in image processing; soft methods in statistics and data analysis; uncertainty, heterogeneity, reliability and explainability in AI; weak and cautious supervised learning.

Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress

Author : Jaime Gil-aluja
Publisher : World Scientific
ISBN 13 : 9814415782
Total Pages : 471 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress by : Jaime Gil-aluja

Download or read book Methods For Decision Making In An Uncertain Environment - Proceedings Of The Xvii Sigef Congress written by Jaime Gil-aluja and published by World Scientific. This book was released on 2012-05-28 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques./a

Methods for Decision Making in an Uncertain Environment

Author : Jaime Gil-Aluja
Publisher : World Scientific
ISBN 13 : 9814415766
Total Pages : 471 pages
Book Rating : 4.8/5 (144 download)

DOWNLOAD NOW!

Book Synopsis Methods for Decision Making in an Uncertain Environment by : Jaime Gil-Aluja

Download or read book Methods for Decision Making in an Uncertain Environment written by Jaime Gil-Aluja and published by World Scientific. This book was released on 2012 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of the papers presented at the XVII SIGEF Congress. It presents fuzzy logic, neural networks and other intelligent techniques applied to economic and business problems. This book is very useful for researchers and graduate students aiming to introduce themselves to the field of quantitative techniques for overcoming uncertain environments. The contributors are experienced scholars of different countries who offer real world applications of these mathematical techniques.

Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty

Author : Shi-Yu Huang
Publisher : Springer Science & Business Media
ISBN 13 : 940092111X
Total Pages : 425 pages
Book Rating : 4.4/5 (9 download)

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Book Synopsis Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty by : Shi-Yu Huang

Download or read book Stochastic Versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty written by Shi-Yu Huang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research is a field whose major contribution has been to propose a rigorous fonnulation of often ill-defmed problems pertaining to the organization or the design of large scale systems, such as resource allocation problems, scheduling and the like. While this effort did help a lot in understanding the nature of these problems, the mathematical models have proved only partially satisfactory due to the difficulty in gathering precise data, and in formulating objective functions that reflect the multi-faceted notion of optimal solution according to human experts. In this respect linear programming is a typical example of impressive achievement of Operations Research, that in its detenninistic fonn is not always adapted to real world decision-making : everything must be expressed in tenns of linear constraints ; yet the coefficients that appear in these constraints may not be so well-defined, either because their value depends upon other parameters (not accounted for in the model) or because they cannot be precisely assessed, and only qualitative estimates of these coefficients are available. Similarly the best solution to a linear programming problem may be more a matter of compromise between various criteria rather than just minimizing or maximizing a linear objective function. Lastly the constraints, expressed by equalities or inequalities between linear expressions, are often softer in reality that what their mathematical expression might let us believe, and infeasibility as detected by the linear programming techniques can often been coped with by making trade-offs with the real world.