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(Ebook) Perceptual Computing: Aiding People in Making Subjective Judgments (IEEE Press Series on Computational Intelligence) by Jerry Mendel, Dongrui Wu ISBN 9780470478769, 9780470599631, 0470478764, 0470599634

  • SKU: EBN-1881102
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Instant download (eBook) Perceptual Computing: Aiding People in Making Subjective Judgments (IEEE Press Series on Computational Intelligence) after payment.
Authors:Jerry Mendel, Dongrui Wu
Pages:320 pages.
Year:2010
Editon:1
Publisher:Wiley-IEEE Press
Language:english
File Size:21.61 MB
Format:pdf
ISBNS:9780470478769, 9780470599631, 0470478764, 0470599634
Categories: Ebooks

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(Ebook) Perceptual Computing: Aiding People in Making Subjective Judgments (IEEE Press Series on Computational Intelligence) by Jerry Mendel, Dongrui Wu ISBN 9780470478769, 9780470599631, 0470478764, 0470599634

Explains for the first time how "computing with words" can aid in making subjective judgmentsLotfi 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 uncertaintiesUse uncertainty measures to quantify linguistic uncertaintiesCompare IT2 FSs by using similarity and rankCompute the subsethood of one IT2 FS in another such setAggregate disparate data, ranging from numbers to uniformly weighted intervals to nonuniformly weighted intervals to wordsAggregate multiple-fired IF-THEN rules so that the integrity of word IT2 FS models is preservedFree 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.
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