A Qualitative Model for Service Oriented Computing | Zendy

Jian Ying Zhang | Zendy; Hepu Deng | Zendy; Ryszard Kowalczyk | Zendy

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A Qualitative Model for Service Oriented Computing

Author(s) -

Jian Ying Zhang,

Hepu Deng,

Ryszard Kowalczyk

Publication year - 2007

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2007.p1209

Subject(s) - computer science , correctness , fuzzy logic , service (business) , causal model , service discovery , artificial intelligence , distributed computing , web service , world wide web , programming language , medicine , economy , pathology , economics

In this paper we introduce fuzzy causal network as a qualitative model for service oriented computing. Firstly, we give a brief description of fuzzy causal network. Secondly, we explain how fuzzy causal network can be used as a qualitative model for service oriented computing. Thirdly, We use fuzzy causal network to model a real world problem in the area of service oriented computing to demonstrate the correctness and effectiveness of this model. Finally, we outline some open research problems for further study. The proposed model has potential to become a good framework for causal discovery and decision support in service oriented computing, especially in the cases where intensive interaction among various services are involved.

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