Скачать книгу - The Subjective Eye

Explains for the first time how «computing with words» can aid in making subjective judgments Lotfi Zadeh, the father of fuzzy logic, coined the phrase «computing with words» (CWW) to describe a methodology in which the objects of computation are words and propositions drawn from a natural language. Perceptual Computing explains how to implement CWW to aid in the important area of making subjective judgments, using a methodology that leads to an interactive device—a «Perceptual Computer»—that propagates random and linguistic uncertainties into the subjective judgment in a way that can be modeled and observed by the judgment maker. This book focuses on the three components of a Perceptual Computer—encoder, CWW engines, and decoder—and then provides detailed applications for each. It uses interval type-2 fuzzy sets (IT2 FSs) and fuzzy logic as the mathematical vehicle for perceptual computing, because such fuzzy sets can model first-order linguistic uncertainties whereas the usual kind of fuzzy sets cannot. Drawing upon the work on subjective judgments that Jerry Mendel and his students completed over the past decade, Perceptual Computing shows readers how to: Map word-data with its inherent uncertainties into an IT2 FS that captures these uncertainties Use uncertainty measures to quantify linguistic uncertainties Compare IT2 FSs by using similarity and rank Compute the subsethood of one IT2 FS in another such set Aggregate disparate data, ranging from numbers to uniformly weighted intervals to nonuniformly weighted intervals to words Aggregate multiple-fired IF-THEN rules so that the integrity of word IT2 FS models is preserved Free MATLAB-based software is also available online so readers can apply the methodology of perceptual computing immediately, and even try to improve upon it. Perceptual Computing is an important go-to for researchers and students in the fields of artificial intelligence and fuzzy logic, as well as for operations researchers, decision makers, psychologists, computer scientists, and computational intelligence experts.

Shorter, more concise chapters provide flexible coverage of the subject. Expanded coverage includes: uncertainty and randomness, prior distributions, predictivism, estimation, analysis of variance, and classification and imaging. Includes topics not covered in other books, such as the de Finetti Transform. Author S. James Press is the modern guru of Bayesian statistics.

Almost 10 years ago the mineral-rich country of Mongolia experienced very rapid economic growth, fuelled by China’s need for coal and copper. New subjects, buildings, and businesses flourished, and future dreams were imagined and hoped for. This period of growth is, however, now over. Mongolia is instead facing high levels of public and private debt, conflicts over land and sovereignty, and a changed political climate that threatens its fragile democratic institutions. Subjective Lives and Economic Transformations in Mongolia  details this complex story through the intimate lives of five women. Building on long-term friendships, which span over 20 years, Rebecca documents their personal journeys in an ever-shifting landscape. She reveals how these women use experiences of living a ‘life in the gap’ to survive the hard reality between desired outcomes and their actual daily lives. In doing so, she offers a completely different picture from that presented by economists and statisticians of what it is like to live in this fluctuating extractive economy.