Deductive Systems of Fuzzy Logic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00379794" target="_blank" >RIV/67985807:_____/11:00379794 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-94-007-0080-2_5" target="_blank" >http://dx.doi.org/10.1007/978-94-007-0080-2_5</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-94-007-0080-2_5" target="_blank" >10.1007/978-94-007-0080-2_5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Deductive Systems of Fuzzy Logic

Popis výsledku v původním jazyce

Lotfi Zadeh is the author of the theory of fuzzy sets. A fuzzy subset A of a (crisp) set X is characterized by assigning to each element x of X the degree of membership of x in A In particular, if X is a set of propositions then its elements may be assigned their degree of truth, which may be ?absolutely true, ?absolutely false or some intermediate truth degree: a proposition may be more true than another proposition. This is obvious in the case of vague (imprecise) propositions like ?this person is old(beautiful, rich, etc.). And this leads to fuzzy logic. In the analogy to various definitions of operations on fuzzy sets (intersection, union, complement,) one may ask how propositions can be combined by connectives (conjunction, disjunction, negation,) and if the truth degree of a composed proposition is determined by the truth degrees of its components, i.e. if the connectives have their corresponding truth functions (like truth tables of classical logic). Saying ?yes (which is the m

Název v anglickém jazyce

Deductive Systems of Fuzzy Logic

Popis výsledku anglicky

Lotfi Zadeh is the author of the theory of fuzzy sets. A fuzzy subset A of a (crisp) set X is characterized by assigning to each element x of X the degree of membership of x in A In particular, if X is a set of propositions then its elements may be assigned their degree of truth, which may be ?absolutely true, ?absolutely false or some intermediate truth degree: a proposition may be more true than another proposition. This is obvious in the case of vague (imprecise) propositions like ?this person is old(beautiful, rich, etc.). And this leads to fuzzy logic. In the analogy to various definitions of operations on fuzzy sets (intersection, union, complement,) one may ask how propositions can be combined by connectives (conjunction, disjunction, negation,) and if the truth degree of a composed proposition is determined by the truth degrees of its components, i.e. if the connectives have their corresponding truth functions (like truth tables of classical logic). Saying ?yes (which is the m

Druh

C - Kapitola v odborné knize

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/IAA100300503" target="_blank" >IAA100300503: Matematické základy inference a rozhodování za nejistoty</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Proof, Computation and Agency. Logic at the Crossroad

ISBN

978-94-007-0079-6

Počet stran výsledku

12

Strana od-do

67-78

Počet stran knihy

400

Název nakladatele

Springer

Místo vydání

Dordrecht

Kód UT WoS kapitoly

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