A Model for Evaluating the Quality of Web Service Based on New Artificial Immune Network Classifier

Author

Chen, Liping ; Ha, Weitao ; Zhang, Guojun

Author_Institution

Dept. of Comput. Sci., Weinan Teachers Univ., Weinan, China

Volume

4

fYear

2009

fDate

26-27 Dec. 2009

Firstpage

360

Lastpage

363

Abstract

To guide the quality evaluation application of Web services in selecting from many available Web services, a evaluation model based on artificial immune network memory classifier is proposed. Evaluation tree which supports to customize evaluation attributes dynamically is defined to reveal the relation among QoS attributes. The objective and subjective synthetic approach is designed to compute the weight of every evaluation attribute. Also, a new data classification method, named fuzzy c-means artificial immune network memory classifier (FCMAINMC), is put forward for feature extraction and classification of Web services. Finally using membership matrix and a hundred-mark way, evaluation result is obtained. The prototype is designed, and the experiment results are veracious and reliable.

Keywords

Web services; artificial immune systems; fuzzy set theory; matrix algebra; pattern classification; trees (mathematics); QoS attribute; Web service quality; artificial immune network memory classifier; data classification method; evaluation tree; feature classification; feature extraction; fuzzy c-means classifier; membership matrix; Application software; Computer science; Feature extraction; Industrial engineering; Information management; Innovation management; Memory management; Ontologies; Quality of service; Web services; Web service evaluation model; evaluation tree; fuzzy C-Means artificial immune network memory classifier; the objective and subjective synthetic approach;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-0-7695-3876-1

Type

conf

DOI

10.1109/ICIII.2009.546

Filename

5370647