Fuzzy Statistical Decision-Making - Theory and Applications (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Fuzziness and Soft Computing, 343
Release date:	July 2016
First published:	2016
Editors:	Cengiz Kahraman • OEzgur Kabak
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	356
Edition:	1st ed. 2016
ISBN-13:	978-3-319-39012-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-39012-0
Barcode:	9783319390123

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