Fuzzy Statistical Decision-making: Theory And Applications (studies In Fuzziness And Soft Computing)
by Cengiz Kahraman /
2016 / English / PDF
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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.
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.