TY - GEN digital ID - 131564731 TI - Fuzzy Statistical Decision-Making : Theory and Applications AU - Kahraman, Cengiz AU - Kabak, Özgür PY - 2016 SN - 9783319390147 PB - Cham Springer International Publishing DB - UniCat KW - Statistical science KW - Operational research. Game theory KW - Mathematical statistics KW - Applied physical engineering KW - Planning (firm) KW - Artificial intelligence. Robotics. Simulation. Graphics KW - neuronale netwerken KW - fuzzy logic KW - cybernetica KW - Bayesian statistics KW - besluitvorming KW - mathematische modellen KW - statistiek KW - econometrie KW - KI (kunstmatige intelligentie) KW - operationeel onderzoek KW - ingenieurswetenschappen KW - statistisch onderzoek KW - AI (artificiële intelligentie) UR - https://www.unicat.be/uniCat?func=search&query=sysid:131564731 AB - 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. ER -