Explains for the first time how "computing with words" can aidin making subjective judgments
Lotfi Zadeh, the father of fuzzy logic, coined the phrase"computing with words" (CWW) to describe a methodology in which theobjects of computation are words and propositions drawn from anatural language. Perceptual Computing explains how to implementCWW 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 linguisticuncertainties into the subjective judgment in a way that can bemodeled and observed by the judgment maker.
This book focuses on the three components of a PerceptualComputer—encoder, CWW engines, and decoder—and thenprovides detailed applications for each. It uses interval type-2fuzzy sets (IT2 FSs) and fuzzy logic as the mathematical vehiclefor perceptual computing, because such fuzzy sets can modelfirst-order linguistic uncertainties whereas the usual kind offuzzy sets cannot. Drawing upon the work on subjective judgmentsthat Jerry Mendel and his students completed over the past decade,Perceptual Computing shows readers how to:
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Map word-data with its inherent uncertainties into an IT2 FSthat captures these uncertainties
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Use uncertainty measures to quantify linguisticuncertainties
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Compare IT2 FSs by using similarity and rank
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Compute the subsethood of one IT2 FS in another such set
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Aggregate disparate data, ranging from numbers to uniformlyweighted intervals to nonuniformly weighted intervals to words
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Aggregate multiple-fired IF-THEN rules so that the integrity ofword IT2 FS models is preserved
Free MATLAB-based software is also available online so readerscan apply the methodology of perceptual computing immediately, andeven try to improve upon it. Perceptual Computing is animportant go-to for researchers and students in the fields ofartificial intelligence and fuzzy logic, as well as for operationsresearchers, decision makers, psychologists, computer scientists,and computational intelligence experts.