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In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. Fuzzy Multi-Criteria Decision Making (MCDM) presents fuzzy multiattribute and multiobjective decision-making methodologies by distinguished MCDM researchers. In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, 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.

Fuzzy sets. --- Set theory. --- Engineering mathematics. --- Mathematical optimization. --- Operations research. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Engineering --- Engineering analysis --- Mathematics --- Aggregates --- Classes (Mathematics) --- Ensembles (Mathematics) --- Mathematical sets --- Sets (Mathematics) --- Theory of sets --- Logic, Symbolic and mathematical --- Sets, Fuzzy --- Fuzzy mathematics --- Set theory --- Artificial intelligence. --- Artificial Intelligence. --- Operations Research, Management Science. --- Optimization. --- Mathematical and Computational Engineering. --- 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 --- Management science. --- Applied mathematics. --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision

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Industrial Engineering (IE) is concerned with the design, improvement, and installation of integrated systems of people, material, equipment, and energy. Industrial engineers face many problems with incomplete and vague information in these systems since the characteristics of these problems often require this kind of information. Fuzzy sets approaches are usually most appropriate when human evaluations and the modeling of human knowledge are needed. IE brings a significant number of applications of fuzzy set theory. After an introductory chapter explaining the recent status of fuzzy sets in IE, this volume involves application chapters on the major seven areas of IE to which fuzzy set theory can contribute. These major application areas are Control and Reliability, Engineering Economics and Investment Analysis, Group and Multi-criteria Decision-making, Human Factors Engineering and Ergonomics, Manufacturing Systems and Technology Management, Optimization Techniques, and Statistical Decision-making. Under these major areas, every chapter includes didactic numerical applications.

Fuzzy sets --- Fuzzy systems. --- Systèmes flous --- Industrial applications. --- Electronic books. -- local. --- Industrial engineering -- Mathematical models. --- Industrial engineering --- Civil Engineering --- Applied Mathematics --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Mathematical models --- Mathematical models. --- Systems, Fuzzy --- Management engineering --- Simplification in industry --- Engineering. --- Information technology. --- Business --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Industrial engineering. --- Production engineering. --- Appl.Mathematics/Computational Methods of Engineering. --- Industrial and Production Engineering. --- Artificial Intelligence (incl. Robotics). --- Applications of Mathematics. --- IT in Business. --- Data processing. --- System analysis --- Fuzzy logic --- Engineering --- Value analysis (Cost control) --- Mathematics. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Math --- Science --- 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 --- Engineering analysis --- Mathematical analysis --- Mathematics --- Business—Data processing. --- Manufacturing engineering --- Process engineering --- Mechanical engineering

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Data mining --- Big data --- Data sets, Large --- Large data sets --- Data sets

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Big data --- Data mining --- Data sets, Large --- Large data sets --- Data sets

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This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

Big data --- Data mining --- Fuzzy sets --- Machine learning --- Data sets, Large --- Large data sets --- Data sets --- Computational intelligence. --- Engineering --- Artificial intelligence. --- Computational Intelligence. --- Data Engineering. --- Artificial Intelligence. --- Data processing. --- 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 --- Intelligence, Computational --- Artificial intelligence --- Soft computing