The Further Studies of the c −credibility Measure in Fuzzy Environment

Actuarial assessments in insurance are inherently subjective due to various factors, including data limitations and the complexity of problems. Fuzzy mathematics and credibility theory provide robust frameworks to manage this subjectivity and uncertainty. Uncertain future events are closely linked with the credibility theory. This paper extends the properties of c−credibility measure. We generalized this measure in fuzzy environment and proved some properties of this measure. Those properties will provide more practical applications of the c−credibility measure of fuzzy events, especially in the context of insurance.

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Publication Details

Journal
WSEAS TRANSACTIONS ON MATHEMATICS
Published
2025-04-16
DOI
https://doi.org/10.37394/23206.2025.24.27
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

The Further Studies of the c −credibility Measure in Fuzzy Environment

Ana Savić, Dejan Ćebić, Marija Paunović, Nebojša Ralević
WSEAS TRANSACTIONS ON MATHEMATICS
Fuzzy Systems and Optimization
article

The Further Studies of the c −credibility Measure in Fuzzy Environment

Ana Savić, Dejan Ćebić, Marija Paunović, Nebojša Ralević
article en

Abstract

Actuarial assessments in insurance are inherently subjective due to various factors, including data limitations and the complexity of problems. Fuzzy mathematics and credibility theory provide robust frameworks to manage this subjectivity and uncertainty. Uncertain future events are closely linked with the credibility theory. This paper extends the properties of c−credibility measure. We generalized this measure in fuzzy environment and proved some properties of this measure. Those properties will provide more practical applications of the c−credibility measure of fuzzy events, especially in the context of insurance.

WSEAS TRANSACTIONS ON MATHEMATICSVol. 24
University of Kragujevac (RS), University of Novi Sad (RS), University of Belgrade (RS)
Openalex Percentile: Top 92%
Fuzzy Systems and Optimization
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