Generalized Net Model of a Parallel Composition of Services with Intuitionistic Fuzzy Estimations of Uncertainty

In [1], [2], a novel approach to the representation of uncertainty in service systems is proposed. It extends the traffic characterization in the documents of the International Telecommunication Union (ITU) with the notions of Intuitionistic Fuzzy (IF) flow, time and traffic characterizations. The t...

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Bibliographic Details
Published in2022 IEEE 11th International Conference on Intelligent Systems (IS) pp. 1 - 6
Main Authors Andonov, Velin, Poryazov, Stoyan, Saranova, Emiliya
Format Conference Proceeding
LanguageEnglish
Published IEEE 12.10.2022
Subjects
Estimation
generalized net
Intelligent systems
intuitionistic fuzzy pairs
ITU
parallel composition of services
Quality of service
service systems
Uncertainty
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Summary:In [1], [2], a novel approach to the representation of uncertainty in service systems is proposed. It extends the traffic characterization in the documents of the International Telecommunication Union (ITU) with the notions of Intuitionistic Fuzzy (IF) flow, time and traffic characterizations. The three proposed IF characterizations are used to estimate the uncertainty of various compositions of services. In the present paper, a Generalized net model of a parallel composition of two services is proposed. The IF characterizations of the composition are obtained in the form of characteristics of some special tokens of the GN. The proposed model can be used to define new Quality of Service (QoS) indicators of a parallel composition of services.
ISSN:2767-9802
DOI:10.1109/IS57118.2022.10019688