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This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a reference guide for researchers and practitioners working in e.g. the fields of operations research, information science, management science and engineering. It can also be used as a textbook for postgraduate and senior undergraduate students.
Economics/Management Science. --- Operation Research/Decision Theory. --- Game Theory/Mathematical Methods. --- Operations Research, Management Science. --- Economics. --- Economics, Mathematical. --- Operations research. --- Economie politique --- Mathématiques économiques --- Recherche opérationnelle --- Management --- Business & Economics --- Management Theory --- Multiple criteria decision making. --- Uncertainty (Information theory) --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Decision making with multiple objectives --- MCDM (Decision making) --- Multiattribute decisions --- Multicriteria decision analysis --- Multicriteria decision making --- Multicriteria decision making analysis --- Multiobjective decision making --- Multiple objective decision making --- Business. --- Decision making. --- Management science. --- Economic theory. --- Business and Management. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Information measurement --- Probabilities --- Questions and answers --- Decision making --- Operations Research/Decision Theory. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology)
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This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.
Engineering. --- Operations research. --- Computational Intelligence. --- Operations Research, Management Science. --- Operation Research/Decision Theory. --- Fuzzy sets --- Engineering & Applied Sciences --- Computer Science --- Sets, Fuzzy --- Operational analysis --- Operational research --- Construction --- Decision making. --- Management science. --- Computational intelligence. --- Fuzzy sets. --- Fuzzy mathematics --- Set theory --- Operations Research/Decision Theory. --- Industrial engineering --- Management science --- Research --- System theory --- Industrial arts --- Technology --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Quantitative business analysis --- Operations research --- Statistical decision --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Decision making
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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.
Economics. --- Operations research. --- Economics/Management Science. --- Operation Research/Decision Theory. --- Fuzzy decision making --- Intuitionistic mathematics --- Management --- Mathematics --- Physical Sciences & Mathematics --- Business & Economics --- Mathematical Statistics --- Management Theory --- Operational analysis --- Operational research --- Economic theory --- Political economy --- Business. --- Decision making. --- Business and Management. --- Fuzzy decision making. --- Intuitionistic mathematics. --- Constructive mathematics --- Decision making --- Fuzzy mathematics --- Operations Research/Decision Theory. --- Industrial engineering --- Management science --- Research --- System theory --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving
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This book offers a systematic introduction to the clustering algorithms for intuitionistic fuzzy values, the latest research results in intuitionistic fuzzy aggregation techniques, the extended results in interval-valued intuitionistic fuzzy environments, and their applications in multi-attribute decision making, such as supply chain management, military system performance evaluation, project management, venture capital, information system selection, building materials classification, and operational plan assessment, etc.
Fuzzy algorithms --- Management --- Business & Economics --- Management Theory --- Business. --- Marketing. --- Operations research. --- Decision making. --- Business and Management. --- Operation Research/Decision Theory. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Consumer goods --- Domestic marketing --- Retail marketing --- Retail trade --- Industrial management --- Aftermarkets --- Selling --- Marketing --- Fuzzy algorithms. --- Algorithms --- Cluster set theory --- Fuzzy mathematics --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making
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"Linguistic Decision Making: Theory and Methods" is the first monograph which mainly deals with the interdisciplinary subject of computing with words, information fusion and decision analysis. It provides a thorough and systematic introduction to the linguistic aggregation operators, linguistic preference relations, and various models for and approaches to multi-attribute decision making with linguistic information. It also offers various practical examples with tables and figures to illustrate the theory and methods discussed. Researchers and professionals engaged in the relevant fields will find it a useful reference book. Professor Zeshui Xu, senior member of the IEEE, works at the PLA University of Science and Technology, China.
Lexicology. --- Linguistic analysis (Linguistics). --- Linguistics. --- Management --- Engineering & Applied Sciences --- Business & Economics --- Management Theory --- Applied Mathematics --- Decision making. --- Linguistic science --- Science of language --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Decision making --- Mathematics. --- Operations research. --- Data mining. --- Computers. --- Applied mathematics. --- Engineering mathematics. --- Mathematical optimization. --- Applications of Mathematics. --- Computing Methodologies. --- Operation Research/Decision Theory. --- Optimization. --- Data Mining and Knowledge Discovery. --- Choice (Psychology) --- Problem solving --- Language and languages --- Artificial intelligence. --- Artificial Intelligence. --- Operations Research/Decision Theory. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Math --- Science --- Engineering --- Engineering analysis --- Mathematics
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This book provides the readers with a thorough and systematic introduction to hesitant fuzzy theory. It presents the most recent research results and advanced methods in the field. These includes: hesitant fuzzy aggregation techniques, hesitant fuzzy preference relations, hesitant fuzzy measures, hesitant fuzzy clustering algorithms and hesitant fuzzy multi-attribute decision making methods. Since its introduction by Torra and Narukawa in 2009, hesitant fuzzy sets have become more and more popular and have been used for a wide range of applications, from decision-making problems to cluster analysis, from medical diagnosis to personnel appraisal and information retrieval. This book offers a comprehensive report on the state-of-the-art in hesitant fuzzy sets theory and applications, aiming at becoming a reference guide for both researchers and practitioners in the area of fuzzy mathematics and other applied research fields (e.g. operations research, information science, management science and engineering) characterized by uncertain ("hesitant") information. Because of its clarity and self contained explanations, the book can also be adopted as a textbook from graduate and advanced undergraduate students.
Operational research. Game theory --- Mathematical statistics --- Applied physical engineering --- Planning (firm) --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- mathematische modellen --- econometrie --- KI (kunstmatige intelligentie) --- operationeel onderzoek --- ingenieurswetenschappen --- AI (artificiële intelligentie)
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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.
Economics --- Methodology of economics --- Operational research. Game theory --- Mathematical statistics --- Business economics --- Planning (firm) --- Business management --- financieel management --- bedrijfseconomie --- economie --- mathematische modellen --- econometrie --- operationeel onderzoek
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This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making with finite alternatives, is an important component of modern decision science. The theory and methods of multi-attribute decision making have been extensively applied in engineering, economics, management and military contexts, such as venture capital project evaluation, facility location, bidding, development ranking of industrial sectors and so on. Over the last few decades, great attention has been paid to research on multi-attribute decision making in uncertain settings, due to the increasing complexity and uncertainty of supposedly objective aspects and the fuzziness of human thought. This book can be used as a reference guide for researchers and practitioners working in e.g. the fields of operations research, information science, management science and engineering. It can also be used as a textbook for postgraduate and senior undergraduate students.
Quantitative methods (economics) --- Economic schools --- Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Business management --- besluitvorming --- economie --- management --- mathematische modellen --- economisch denken --- speltheorie --- econometrie --- operationeel onderzoek
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"Intuitionistic Fuzzy Information Aggregation: Theory and Applications" is the first book to provide a thorough and systematic introduction to intuitionistic fuzzy aggregation methods, the correlation, distance and similarity measures of intuitionistic fuzzy sets and various decision-making models and approaches based on the above-mentioned information processing tools. Through numerous practical examples and illustrations with tables and figures, it offers researchers and professionals in the fields of fuzzy mathematics, information fusion and decision analysis the most recent research findings, developed by the authors. Zeshui Xu is a Professor at the PLA University of Science and Technology, China. Xiaoqiang Cai is a Professor at the Chinese University of Hong Kong, China.
Combinatorial optimization. --- Fuzzy algorithms. --- Mathematics. --- Fuzzy sets --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Multiple criteria decision making. --- Decision making with multiple objectives --- MCDM (Decision making) --- Multiattribute decisions --- Multicriteria decision analysis --- Multicriteria decision making --- Multicriteria decision making analysis --- Multiobjective decision making --- Multiple objective decision making --- Computers. --- Computer mathematics. --- Operations research. --- Management science. --- Applied mathematics. --- Engineering mathematics. --- Operations Research, Management Science. --- Computing Methodologies. --- Appl.Mathematics/Computational Methods of Engineering. --- Computational Mathematics and Numerical Analysis. --- Decision making --- Artificial intelligence. --- Computer science --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory
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The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. .
Engineering. --- Operations research. --- Decision making. --- Artificial intelligence. --- Management science. --- Computational intelligence. --- Computational Intelligence. --- Operations Research, Management Science. --- Operation Research/Decision Theory. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Technology --- Decision making --- Operations Research/Decision Theory. --- Artificial Intelligence. --- Fuzzy decision making. --- Fuzzy mathematics
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