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Perceptual Computing Jerry M Mendel Dongrui Wuauth David B Fogeleds

  • SKU: BELL-4309782
Perceptual Computing Jerry M Mendel Dongrui Wuauth David B Fogeleds
$ 31.00 $ 45.00 (-31%)

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Perceptual Computing Jerry M Mendel Dongrui Wuauth David B Fogeleds instant download after payment.

Publisher: Wiley-IEEE Press
File Extension: PDF
File size: 7.68 MB
Pages: 330
Author: Jerry M. Mendel, Dongrui Wu(auth.), David B. Fogel(eds.)
ISBN: 9780470478769, 9780470599655, 0470478764, 0470599650
Language: English
Year: 2010

Product desciption

Perceptual Computing Jerry M Mendel Dongrui Wuauth David B Fogeleds by Jerry M. Mendel, Dongrui Wu(auth.), David B. Fogel(eds.) 9780470478769, 9780470599655, 0470478764, 0470599650 instant download after payment.

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.Content:
Chapter 1 Introduction (pages 1–34):
Chapter 2 Interval Type?2 Fuzzy Sets (pages 35–63):
Chapter 3 Encoding: From a Word to a Model—The Codebook (pages 65–116):
Chapter 4 Decoding: From FOUs to a Recommendation (pages 117–144):
Chapter 5 Novel Weighted Averages as a CWW Engine (pages 145–173):
Chapter 6 IF–THEN Rules as a CWW Engine—Perceptual Reasoning (pages 175–197):
Chapter 7 Assisting in Making Investment Choices—Investment Judgment Advisor (IJA) (pages 199–233):
Chapter 8 Assisting in Making Social Judgments—Social Judgment Advisor (SJA) (pages 235–257):
Chapter 9 Assisting in Hierarchical Decision Making—Procurement Judgment Advisor (PJA) (pages 259–282):
Chapter 10 Assisting in Hierarchical and Distributed Decision Making—Journal Publication Judgment Advisor (JPJA) (pages 283–310):
Chapter 11 Conclusions (pages 311–313):

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