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Title: Two Approaches to the Traffic Quality Intuitionistic Fuzzy Estimation of Service Compositions
Authors: Poryazov, Stoyan
Andonov, Velin
Saranova, Emiliya
Atanassov, Krassimir
Keywords: traffic quality
service composition
intuitionistic fuzzy pairs
intuitionistic fuzzy sets
Issue Date: 24-Nov-2022
Publisher: MDPI
Citation: Poryazov, S.; Andonov, V.; Saranova, E.; Atanassov, K. Two Approaches to the Traffic Quality Intuitionistic Fuzzy Estimation of Service Compositions. Mathematics 2022, 10, 4439.
Series/Report no.: Mathematics;10, 4439
Abstract: Recently, intuitionistic fuzzy pairs have been used as uncertainty estimations of the request services in service systems. In the present paper, three intuitionistic fuzzy characterizations of virtual service devices are specified: intuitionistic fuzzy traffic estimation, intuitionistic fuzzy flow estimation and intuitionistic fuzzy estimation about probability. Discussed herein are two approaches to the intuitionistic fuzzy estimation of the uncertainty of compositions of services. One of the approaches is based on the definitions of the intuitionistic fuzzy pairs for one service device. The other approach is based on the aggregation operators over intuitionistic fuzzy pairs. A total of six intuitionistic fuzzy estimations of the uncertainty of comprise service device are proposed. The proposed uncertainty estimations allow for the definition of new Quality of Service (QoS) indicators and can be used to determine the quality of service compositions across a wide range of service systems.
ISSN: 2227-7390
Appears in Collections:Q1

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