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Fuzzy Statistical Decision-Making = Theory and Applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Fuzzy Statistical Decision-Making/ edited by Cengiz Kahraman, Özgür Kabak.
其他題名:
Theory and Applications /
其他作者:
Kahraman, Cengiz.
面頁冊數:
XII, 356 p. 84 illus., 5 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-319-39014-7
ISBN:
9783319390147
Fuzzy Statistical Decision-Making = Theory and Applications /
Fuzzy Statistical Decision-Making
Theory and Applications /[electronic resource] :edited by Cengiz Kahraman, Özgür Kabak. - 1st ed. 2016. - XII, 356 p. 84 illus., 5 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3431434-9922 ;. - Studies in Fuzziness and Soft Computing,319.
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.
ISBN: 9783319390147
Standard No.: 10.1007/978-3-319-39014-7doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Fuzzy Statistical Decision-Making = Theory and Applications /
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