Fuzzy Probability and Statistics (Studies in Fuzziness and Soft Computing, 196)

✍ Scribed by James J. Buckley

Publisher: Springer
Year: 2006
Tongue: English
Leaves: 200
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (Fuzzy Statistics, Springer, 2004), plus has about one third new results. From FP we have material on basic fuzzy probability, discrete (fuzzy Poisson,binomial) and continuous (uniform, normal, exponential) fuzzy random variables. From FS we included chapters on fuzzy estimation and fuzzy hypothesis testing related to means, variances, proportions, correlation and regression. New material includes fuzzy estimators for arrival and service rates, and the uniform distribution, with applications in fuzzy queuing theory. Also, new to this book, is three chapters on fuzzy maximum entropy (imprecise side conditions) estimators producing fuzzy distributions and crisp discrete/continuous distributions. Other new results are: (1) two chapters on fuzzy ANOVA (one-way and two-way); (2) random fuzzy numbers with applications to fuzzy Monte Carlo studies; and (3) a fuzzy nonparametric estimator for the median.

📜 SIMILAR VOLUMES

Fuzzy Probabilities: New Approach and Ap

📁 Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing, 115)

✍ James J. Buckley 📂 Library 📅 2005 🏛 Springer 🌐 English

In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probab

Fuzzy Chaotic Systems: Modeling, Control

📁 Fuzzy Chaotic Systems: Modeling, Control, and Applications (Studies in Fuzziness and Soft Computing, 199)

✍ Zhong Li 📂 Library 📅 2006 🏛 Springer 🌐 English

Bringing together the two seemingly unrelated concepts,fuzzy logic andchaos theory,isprimarilymotivatedbytheconceptofsoft computing (SC),initiated by Lot? A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilis

Recent Developments in Fuzzy Logic and F

📁 Recent Developments in Fuzzy Logic and Fuzzy Sets (Studies in Fuzziness and Soft Computing, 391)

✍ Shahbazova 📂 Library 📅 2020 🏛 Springer 🌐 English

This book provides a timely and comprehensive overview of current theories and methods in fuzzy logic, as well as relevant applications in a variety of fields of science and technology. Dedicated to Lotfi A. Zadeh on his one year death anniversary, the book goes beyond a pure commemo

Fuzzy Hypergraphs and Related Extensions

📁 Fuzzy Hypergraphs and Related Extensions (Studies in Fuzziness and Soft Computing, 390)

✍ Muhammad Akram, Anam Luqman 📂 Library 📅 2020 🏛 Springer 🌐 English

This book presents the fundamental and technical concepts of fuzzy hypergraphs and explains their extensions and applications. It discusses applied generalized mathematical models of hypergraphs, including complex, intuitionistic, bipolar, m-polar fuzzy, Pythagorea

Weighted and Fuzzy Graph Theory (Studies

📁 Weighted and Fuzzy Graph Theory (Studies in Fuzziness and Soft Computing, 429)

✍ Sunil Mathew, John N. Mordeson, M. Binu 📂 Library 📅 2023 🏛 Springer 🌐 English

One of the most preeminent ways of applying mathematics in real-world scenario modeling involves graph theory. A graph can be undirected or directed depending on whether the pairwise relationships among objects are symmetric or not. Nevertheless, in many real-world situations, representing

Fuzzy Graph Theory (Studies in Fuzziness

📁 Fuzzy Graph Theory (Studies in Fuzziness and Soft Computing Book 363)

✍ Sunil Mathew 📂 Library 🌐 English