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An Approach Based on Fuzzy Sets to Selecting and Ranking Business Processes

Bouzeghoub, Mokrane; Rocacher, Daniel; Liétard, Ludovic; Grigori, Daniela; Hadjali, Allel; Abbaci, Katia; Lemos, Fernando (2011), An Approach Based on Fuzzy Sets to Selecting and Ranking Business Processes, Commerce and Enterprise Computing (CEC), 2011 IEEE 13th Conference on, IEEE, p. 213-218

Type
Communication / Conférence
Date
2011
Conference title
CEC 2011
Conference date
2011-08
Conference city
Luxembourg
Conference country
Luxembourg
Book title
Commerce and Enterprise Computing (CEC), 2011 IEEE 13th Conference on
Publisher
IEEE
ISBN
(E-ISBN) 978-0-7695-4535-6 (Print ISBN) 978-1-4577-1542-6
Pages
213-218
Metadata
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Author(s)
Bouzeghoub, Mokrane
Rocacher, Daniel
Liétard, Ludovic
Grigori, Daniela
Hadjali, Allel
Abbaci, Katia
Lemos, Fernando
Abstract (EN)
Current approaches for service discovery are based on semantic knowledge, such as ontologies and service behavior (described as a process model). However, these approaches have high selectivity rate, resulting in a large number of services offering similar functionalities and behavior. One way to improve the selectivity rate is to cope with user preferences defined on quality attributes. In this paper, we propose a novel approach for service retrieval that takes into account the service process model and relies both on preference satisfiability and structural similarity. User query and target process models are represented as annotated graphs, where user preferences on QoS attributes are modelled by means of fuzzy sets. A flexible evaluation strategy based on fuzzy linguistic quantifiers is introduced. Finally, different ranking methods are discussed.
Subjects / Keywords
process model; Ranking Business Processes; Fuzzy Sets