QA256 : Fuzzy Social Networks Analysis
Thesis > Central Library of Shahrood University > Mathematical Sciences > MSc > 2014
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Abstarct: Since network break up and classification is one of social network analysis goals. Network
classification is the key to understand large and complex network. Therefore in this
dissertation is studying network analysis subject with equivalence method. In classification
problem, is understanding individuals position and similarity measure. In first chapter of
dissertation, introduce preliminary concepts that are requirement for next chapters. In
chapter 2, are studied history of social networks and social network analysis and also
classification of individuals with use structure equivalence method. In chapter 3, use
other classification method that is called regular equivalence. In chapter 4, introduce a
sequence for computing greatest regular equivalence with residulas and relation composed.
In chapter 5, introduce fuzzy social networks and is studying exist greatest fuzzy and crisp
equivalence in this networks and research a sequence for greatest with all cases of truth
values sets in the fuzzy logic that are called complete residuated complete. In chapter 6,
introduce weak and strong fuzzy regular.
Keywords:
#regular equivalence #residulas #regular interiors #fuzzy regular equivalence #fuzzy relations #fuzzy relations inequalities #fuzzy relations equations #residulas of fuzzy relations #lattice #completed resiguated lattice #fuzzy quasi-orders #fuzzy equivalences #regular fuzzy relations Link
Keeping place: Central Library of Shahrood University
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Keeping place: Central Library of Shahrood University
Visitor: