April 2016
Intermediate to advanced
386 pages
10h 3m
English
Content preview from Foundations of Fuzzy Logic and Semantic Web Languages
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6 Foundations of Fuzzy Logic and Semantic Web Languages
FIGURE 1.3: Fuzzy numbers.
Here, fuzziness arises naturally in the description of the criteria, offers, the
relative importance of the criteria and the performance of each alternative
against each criteria (see, e.g., the area of fuzzy MCDM [225, 443]).
For instance, assume that we have to decide which offer to choose for the
development of a public school (see matrix representation below):
Offer Cost DeliveryTime Quality
Fair Low High
A
1
VeryPoor Fair Good
A
2
Good VeryGood Poor
A
3
Fair Fair Poor
• There are three offers A
i
(alternatives), described using the terms of
an ontology, which have been evaluated ...
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