Text

Fuzzy Statistical Decision-Making Theory and Applications

---

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.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

Cham : Springer., 2016

Collation

-

Language

English

ISBN/ISSN

978-3-319-39014-7

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

-

Specific Detail Info

-

Statement of Responsibility

Cengiz Kahraman, Özgür Kabak

Other Information

Cataloger

Jemadi

Source

-

Validator

Jemadi

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-319-39014-7

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment