Fuzzy kvantifikátory a jejich aplikace v rozhodování

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F04%3A00009879" target="_blank" >RIV/61989100:27510/04:00009879 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Quantifiers and Their Application in Decision Making

Popis výsledku v původním jazyce

In this paper there are introduced L-models of fuzzy quantifiers that could be understood as a generalization of the classical quantifiers of predicate calculus of fuzzy logic. Some of their general properties are shown. Further, two basic types of fuzzyquantifiers, namely, "at least" and "at most" are investigated and truth values of formulas with fuzzy quantifiers of such types are defined. A relation between fuzzy quantifiers of the type "at least" and fuzzy integrals is proved. The presented modelsof fuzzy quantifiers offer larger scale of applications than classical ones. The last part is devoted to several possible applications that are illustrated on three simple economical examples.s paper there are introduced L-models of fuzzy quantifiers that could be understood as a generalization of the classical quantifiers of predicate calculus of fuzzy logic. Some of their general properties are shown. Further, two basic types of fuzzy quantifiers, namely, "at least

Název v anglickém jazyce

Fuzzy Quantifiers and Their Application in Decision Making

Popis výsledku anglicky

In this paper there are introduced L-models of fuzzy quantifiers that could be understood as a generalization of the classical quantifiers of predicate calculus of fuzzy logic. Some of their general properties are shown. Further, two basic types of fuzzyquantifiers, namely, "at least" and "at most" are investigated and truth values of formulas with fuzzy quantifiers of such types are defined. A relation between fuzzy quantifiers of the type "at least" and fuzzy integrals is proved. The presented modelsof fuzzy quantifiers offer larger scale of applications than classical ones. The last part is devoted to several possible applications that are illustrated on three simple economical examples.s paper there are introduced L-models of fuzzy quantifiers that could be understood as a generalization of the classical quantifiers of predicate calculus of fuzzy logic. Some of their general properties are shown. Further, two basic types of fuzzy quantifiers, namely, "at least

Druh

C - Kapitola v odborné knize

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Studies and Analyses of the Macro and Microeconomic Systems' Structures and Behavior Using the Economic-Mathematical Methods

ISBN

80-248-0666-5

Počet stran výsledku

40

Strana od-do

223-262

Počet stran knihy

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Název nakladatele

Faculty of Economics, Technical University of Ostrava

Místo vydání

Ostrava

Kód UT WoS kapitoly

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