Fuzzy Statistical Decision-Making

Editors: Kahraman, Cengiz, Kabak, Özgür (Eds.)
Provides readers with the necessary tools for making inference with fuzzy data
Extends all the main aspects of classical statistical decision-making to its fuzzy counterpart
Includes relevant numerical examples and case studies

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.

Number of Illustrations and Tables
79 b/w illustrations, 5 illustrations in colour
Topics
Computational Intelligence
Statistical Theory and Methods
Operation Research/Decision Theory

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