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 r...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kahraman, Cengiz (Επιμελητής έκδοσης), Kabak, Özgür (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Studies in Fuzziness and Soft Computing, 343
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Fuzzy Statistical Decision-Making  |h [electronic resource] :  |b Theory and Applications /  |c edited by Cengiz Kahraman, Özgür Kabak. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XII, 356 p. 84 illus., 5 illus. in color.  |b online resource. 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 343 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Statistics. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Operation Research/Decision Theory. 
700 1 |a Kahraman, Cengiz.  |e editor. 
700 1 |a Kabak, Özgür.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319390123 
830 0 |a Studies in Fuzziness and Soft Computing,  |x 1434-9922 ;  |v 343 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-39014-7  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)