Fuzzy statistical decision-making : theory and applications

• 其他作者：
  • Kahraman, Cengiz, editor.
  • Kabak, Ozgur, editor.
  • SpringerLink (Online service)
• 其他題名：
  • Studies in fuzziness and soft computing ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Studies in fuzziness and soft computing,volume 343
• 主題： Fuzzy decision making. , Engineering. , Computational Intelligence. , Statistical Theory and Methods. , Operation Research/Decision Theory.
• ISBN： 9783319390147 (electronic bk.) 、 9783319390123 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
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• 摘要註: 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.
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