By Jerry M. Mendel, Dongrui Wu(auth.), David B. Fogel(eds.)
Explains for the 1st time how "computing with phrases" can reduction in making subjective judgments
Lotfi Zadeh, the daddy of fuzzy common sense, coined the word "computing with phrases" (CWW) to explain a technique within which the gadgets of computation are phrases and propositions drawn from a normal language. Perceptual Computing explains tips to enforce CWW to help within the very important zone of constructing subjective judgments, utilizing a strategy that results in an interactive device—a "Perceptual Computer"—that propagates random and linguistic uncertainties into the subjective judgment in a fashion that may be modeled and saw by means of the judgment maker.
This publication makes a speciality of the 3 parts of a Perceptual Computer—encoder, CWW engines, and decoder—and then presents specific purposes for every. It makes use of period type-2 fuzzy units (IT2 FSs) and fuzzy good judgment because the mathematical motor vehicle for perceptual computing, simply because such fuzzy units can version first-order linguistic uncertainties while the standard form of fuzzy units can't. Drawing upon the paintings on subjective judgments that Jerry Mendel and his scholars accomplished over the last decade, Perceptual Computing exhibits readers tips on how to:
Map word-data with its inherent uncertainties into an IT2 FS that captures those uncertainties
Use uncertainty measures to quantify linguistic uncertainties
examine IT2 FSs by utilizing similarity and rank
Compute the subsethood of 1 IT2 FS in one other such set
mixture disparate info, starting from numbers to uniformly weighted periods to nonuniformly weighted durations to phrases
combination multiple-fired IF-THEN principles in order that the integrity of observe IT2 FS versions is preserved
loose MATLAB-based software program can also be on hand on-line so readers can practice the method of perceptual computing instantly, or even attempt to enhance upon it. Perceptual Computing is a crucial go-to for researchers and scholars within the fields of synthetic intelligence and fuzzy good judgment, in addition to for operations researchers, selection makers, psychologists, computing device scientists, and computational intelligence experts.Content:
Chapter 1 advent (pages 1–34):
Chapter 2 period Type?2 Fuzzy units (pages 35–63):
Chapter three Encoding: From a be aware to a Model—The Codebook (pages 65–116):
Chapter four interpreting: From FOUs to a advice (pages 117–144):
Chapter five Novel Weighted Averages as a CWW Engine (pages 145–173):
Chapter 6 IF–THEN principles as a CWW Engine—Perceptual Reasoning (pages 175–197):
Chapter 7 helping in Making funding Choices—Investment Judgment consultant (IJA) (pages 199–233):
Chapter eight helping in Making Social Judgments—Social Judgment consultant (SJA) (pages 235–257):
Chapter nine helping in Hierarchical determination Making—Procurement Judgment consultant (PJA) (pages 259–282):
Chapter 10 helping in Hierarchical and dispensed choice Making—Journal booklet Judgment consultant (JPJA) (pages 283–310):
Chapter eleven Conclusions (pages 311–313):
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Extra resources for Perceptual Computing
2 diagram for the Per-C is modified to the diagram in Fig. ” An objection may be raised that a fixed MF also applies to an IT2 FS model; that is, once the parameters of an IT2 FS model are specified, there no longer is anything uncertain about the IT2 FS. This objection is incorrect because the IT2 FS is a firstorder uncertainty model, that is, at each value of the primary variable the MF is an interval of values. For a T1 FS, the MF is a point value, and it is the interval nature of 14 In the future, perhaps the scientifically correct IT2 FS model for a word will be falsified by a more complete T2 FS model.
We are interested in using a Turing Test, as explained in Saygin et al. (2000, p. ” In order to implement the Per-C, data will be needed. This data must be collected from people who are similar to those who will ultimately be interacting with the Per-C. 10 The validation of the designed Per-C using some of the collected data (the validation set) can be interpreted as a Turing Test. If, on the other hand, such data collection is not feasible, then the designer of the Per-C must fabricate it or, even worse, design the Per-C using no data at all.
Computing With Words in Information/ Intelligent Systems 1: Foundations, Heidelberg: Physica-Verlag, 1999, pp. 50–77. R. Yager, “On the retranslation process in Zadeh’s paradigm of computing with words,” IEEE Trans. on Systems, Man, and Cybernetics—Part B: Cybernetics, vol. 34, pp. 1184–1195, 2004. L. A. Zadeh, “Fuzzy logic = computing with words,” IEEE Trans. on Fuzzy Systems, vol. 4, pp. 103–111, 1996. qxd 3/3/2010 34 9:58 AM Page 34 INTRODUCTION L. A. Zadeh, “From computing with numbers to computing with words—from manipulation of measurements to manipulation of perceptions,” IEEE Trans.