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This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.

Engineering. --- Operations research. --- Decision making. --- Statistics. --- Computational intelligence. --- Computational Intelligence. --- Statistical Theory and Methods. --- Operation Research/Decision Theory. --- Intelligence, Computational --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Operational analysis --- Operational research --- Construction --- Decision making --- Artificial intelligence --- Soft computing --- Mathematics --- Econometrics --- Choice (Psychology) --- Problem solving --- Industrial engineering --- Management science --- Research --- System theory --- Industrial arts --- Technology --- Mathematical statistics. --- Operations Research/Decision Theory. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Fuzzy decision making. --- Fuzzy mathematics --- Statistics .

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Data and its processed state 'information' have become an indispensable resource for virtually all aspects of business, education, etc. Consequently, decisions regarding the handling of this data, transforming it into meaningful information, and ultimately arriving at the best course of action have taken on a new importance. This book highlights a selection of cutting-edge research on decision making presented at the 25th International Conference on Multiple Criteria Decision Making (MCDM 2019), held in Istanbul, Turkey.

Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Production management --- Business management --- Computer. Automation --- management --- mathematische modellen --- productie --- econometrie --- operationeel onderzoek

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Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Production management --- Business management --- Computer. Automation --- management --- mathematische modellen --- productie --- econometrie --- operationeel onderzoek