C++ Neural Networks and Fuzzy Logic: Preface


C++ Neural Networks and Fuzzy Logic



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C neural networks and fuzzy logic

C++ Neural Networks and Fuzzy Logic

by Valluru B. Rao

MTBooks, IDG Books Worldwide, Inc.



ISBN: 1558515526   Pub Date: 06/01/95

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Fuzzy Queries

At this point, our digression from the discussion of fuzzy data bases is finished. Let us now recall, for

immediate reference, the entries in the definitions we listed earlier in Table 16.3:

Table 16.3 Fuzzy Values for Example Sets

Fuzzy ValueSet

FV(age){ very young, young, somewhat old, old }

FV(nov){ never, rarely, quite a few, often, very often }

FV(lov){ barely few days, few days, quite a few days, many days }

FV(yov){distant past, recent past, recent }

FV(hs){ barely, adequately, quite a bit, extensively }

FV(flp){not proficient, barely proficient, adequate, proficient, very proficient }

If you refer to Tables 16.1 and 16.3, you will see that a fuzzy query defines a fuzzy set. For example, suppose

you ask for a list of young people with enough knowledge of Italy, and who know Italian almost like a native.

You want the intersection of the fuzzy sets, age_young, hs_adequately, and flp_very proficient. John Smith

is in the fuzzy set age_young with a 0.75 degree of membership, as noted before. Suppose he is in


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