c-Credibility measure

Ralevic, M Nebojsa; Paunović, Marija

doi:10.2298/fil1909571r

Cited by 5 publications

(3 citation statements)

References 8 publications

(10 reference statements)

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“…Credibility measure (Liu & Liu, 2002), as a concept for the measure of a fuzzy event, is a set function satisfying normality, monotonicity, selfduality and maximality. Generalized credibility theory is proposed by Ralević & Paunović (2019). A new fuzzy measure is introduced, called c− credibility measure as aggregation of possibility measure and necessity measure.…”

Section: Mathematical Modellingmentioning

confidence: 99%

Mathematical Modelling and Statistical Analysis in Post - Covid-19 Tourism Recovery

Paunović

2021

Tourism Challenges Amid Covid-19

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The COVID-19 pandemic, along with responses to pandemic control in the form of a national blockade with widespread application of travel restrictions, has made tourism one of the most vulnerable sectors. With increasing mitigation measures in many countries regarding tourism and travel restrictions in some segments, different tourism recovery programs are being launched according to the specifics of each country. The paper will consider various proposed measures through different impact factors set in order to accelerate the recovery of the tourism sector. Selected mathematical models will be presented and discussed.

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Section: Mathematical Modellingmentioning

confidence: 99%

Mathematical Modelling and Statistical Analysis in Post - Covid-19 Tourism Recovery

Paunović

2021

Tourism Challenges Amid Covid-19

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“…As this is a new measure, the main definitions and theorems will be presented in this part of the paper. New measure of uncertainty called c-credibility measure is defined in [12]…”

Section: Preliminariesmentioning

confidence: 99%

“…In the classical theory of credibility, the main task is to find weight of measures. As the weight of measures was predetermined, Ralevic and Paunovic [12] came up with the idea to generalize credibility measure and that is achieved with so called c-credibility measure.…”

Section: Introductionmentioning

confidence: 99%

Application of the C-Credibility Measure

2020

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The complex logistics process involves numerous dynamic uncertainties and internal risks. Those risks alone or in interaction with other groups of risks can affect the entire system. This paper proposes the application of the new measure, c-credibility measure to the complex system such as logistic process. For this purpose, fuzzy logic system for risk assessments in logistic process is proposed. C-credibility selection through ranking is implemented in the simulation process with crh membership function definition on the fuzzy variable to calculate credibility value. Numerical analysis of the proposed approach with obtained results and the related discussion is presented.

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Application of Fuzzy Integrals Based on c-Credibility Measures in Image Processing

Ralević,

Blesić,

Iričanin

et al. 2024

Lecture Notes in Networks and Systems

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c-Credibility measure

Abstract: In this paper we introduce the concept of credibility measure and we show some of its basic properties. In this frame we present several results for credibility mappings. Our results generalize the notion of the credibility measure of Lee.

Cited by 5 publications

References 8 publications

Mathematical Modelling and Statistical Analysis in Post - Covid-19 Tourism Recovery

Mathematical Modelling and Statistical Analysis in Post - Covid-19 Tourism Recovery

Application of the C-Credibility Measure

Application of Fuzzy Integrals Based on c-Credibility Measures in Image Processing

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