Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the bu…
When no samples are available to estimate a probability distribution, we have to invite some domain experts to evaluate the belief degree that each event will happen. Perhaps some people think that the belief degree should be modeled by subjective probability or fuzzy set theory. However, it is usually inappropriate because both of them may lead to counterintuitive results in this case. In o…
This book introduces novel design techniques developed to increase the safety of aircraft engines. The authors demonstrate how the application of uncertainty methods can overcome problems in the accurate prediction of engine lift, caused by manufacturing error. This in turn ameliorates the difficulty of achieving required safety margins imposed by limits in current design and manufacturing meth…
This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimizati…
This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic reasoning and modeling, which effectively underlie everything in data science. The ultimate goal is to call into question many standard tenets and lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book…
This book is based on the 2014 Special Issue 124(3) of Climatic Change. It brings together 16 key papers presented at, or produced, subsequent to the 2010 (3rd) International Workshop on Uncertainty in Greenhouse Gas (GHG) Inventories. The Workshop was jointly organized by the Lviv Polytechnic National University, Ukraine; the Systems Research Institute of the Polish Academy of Sciences; and th…
This book introduces methods for uncertain multi-attribute decision making including uncertain multi-attribute group decision making and their applications to supply chain management, investment decision making, personnel assessment, redesigning products, maintenance services, military system efficiency evaluation. Multi-attribute decision making, also known as multi-objective decision making w…
Why did the novel become so popular in the past three centuries, and how did the American novel contribute to this trend? As a key provider of the narrative frames and formulas needed by modern individuals to give meaning and mooring to their lives. Drawing on phenomenological hermeneutics, human geography and social psychology, Laura Bieger contends that belonging is not a given; it is continu…
A critical exploration of travel, animals and shape-changing in fin de siécle literature. Bats, beetles, wolves, butterflies, bulls, panthers, apes, leopards and spiders are among the countless creatures that crowd the pages of literature of the late nineteenth century. Whether in Gothic novels, science fiction, fantasy, fairy tales, journalism, political discourse, realism or naturalism, t…
Shakespeare’s As You Like It is a play without a theme. Instead, it repeatedly poses one question in a variety of forms: What if the world were other than it is? As You Like It is a set of experiments in which its characters conditionally change an aspect of their world and see what comes of it: what if I were not a girl but a man? What if I were not a duke, but someone like Robin Hood? What …