Conditional Intuitionistic Fuzzy Mean Value

The conditional mean value has applications in regression analysis and in financial mathematics, because they are used in it. We can find papers from recent years that use the conditional mean value in fuzzy cases. As the intuitionstic fuzzy sets are an extension of fuzzy sets, we will try to define...

Full description

Bibliographic Details
Main Author: Katarína Čunderlíková
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/10/2/97
id doaj-87ba82b8a5244a7f86bfb0342c420eba
record_format Article
spelling doaj-87ba82b8a5244a7f86bfb0342c420eba2021-06-01T00:39:28ZengMDPI AGAxioms2075-16802021-05-0110979710.3390/axioms10020097Conditional Intuitionistic Fuzzy Mean ValueKatarína Čunderlíková0Mathematical Institute, Slovak Academy of Sciences, Štefánikova 49, 814 73 Bratislava, SlovakiaThe conditional mean value has applications in regression analysis and in financial mathematics, because they are used in it. We can find papers from recent years that use the conditional mean value in fuzzy cases. As the intuitionstic fuzzy sets are an extension of fuzzy sets, we will try to define a conditional mean value for the intuitionistic fuzzy case. The conditional mean value in crisp intuitionistic fuzzy events was first studied by V. Valenčáková in 2009. She used Gödel connectives. Her approach can only be used for special cases of intuitionistic fuzzy events, therefore, we want to define a conditional mean value for all elements of a family of intuitionistic fuzzy events. In this paper, we define the conditional mean value for intuitionistic fuzzy events using Lukasiewicz connectives. We use a Kolmogorov approach and the notions from a classical probability theory for construction. B. Riečan formulated a conditional intuitionistic fuzzy probability for intuitionistic fuzzy events using an intuitionistic fuzzy state in 2012. In classical cases, there exists a connection between the conditional probability and the conditional mean value, therefore we show a connection between the conditional intuitionistic fuzzy probability induced by the intuitionistic fuzzy state and the conditional intuitionistic fuzzy mean value.https://www.mdpi.com/2075-1680/10/2/97intuitionistic fuzzy eventintuitionistic fuzzy observableintuitionistic fuzzy stateproductconditional intuitionistic fuzzy probabilityconditional intuitionistic fuzzy mean value
collection DOAJ
language English
format Article
sources DOAJ
author Katarína Čunderlíková
spellingShingle Katarína Čunderlíková
Conditional Intuitionistic Fuzzy Mean Value
Axioms
intuitionistic fuzzy event
intuitionistic fuzzy observable
intuitionistic fuzzy state
product
conditional intuitionistic fuzzy probability
conditional intuitionistic fuzzy mean value
author_facet Katarína Čunderlíková
author_sort Katarína Čunderlíková
title Conditional Intuitionistic Fuzzy Mean Value
title_short Conditional Intuitionistic Fuzzy Mean Value
title_full Conditional Intuitionistic Fuzzy Mean Value
title_fullStr Conditional Intuitionistic Fuzzy Mean Value
title_full_unstemmed Conditional Intuitionistic Fuzzy Mean Value
title_sort conditional intuitionistic fuzzy mean value
publisher MDPI AG
series Axioms
issn 2075-1680
publishDate 2021-05-01
description The conditional mean value has applications in regression analysis and in financial mathematics, because they are used in it. We can find papers from recent years that use the conditional mean value in fuzzy cases. As the intuitionstic fuzzy sets are an extension of fuzzy sets, we will try to define a conditional mean value for the intuitionistic fuzzy case. The conditional mean value in crisp intuitionistic fuzzy events was first studied by V. Valenčáková in 2009. She used Gödel connectives. Her approach can only be used for special cases of intuitionistic fuzzy events, therefore, we want to define a conditional mean value for all elements of a family of intuitionistic fuzzy events. In this paper, we define the conditional mean value for intuitionistic fuzzy events using Lukasiewicz connectives. We use a Kolmogorov approach and the notions from a classical probability theory for construction. B. Riečan formulated a conditional intuitionistic fuzzy probability for intuitionistic fuzzy events using an intuitionistic fuzzy state in 2012. In classical cases, there exists a connection between the conditional probability and the conditional mean value, therefore we show a connection between the conditional intuitionistic fuzzy probability induced by the intuitionistic fuzzy state and the conditional intuitionistic fuzzy mean value.
topic intuitionistic fuzzy event
intuitionistic fuzzy observable
intuitionistic fuzzy state
product
conditional intuitionistic fuzzy probability
conditional intuitionistic fuzzy mean value
url https://www.mdpi.com/2075-1680/10/2/97
work_keys_str_mv AT katarinacunderlikova conditionalintuitionisticfuzzymeanvalue
_version_ 1721414261095268352