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JACIII Vol.18 No.5 pp. 798-804
doi: 10.20965/jaciii.2014.p0798
(2014)

Paper:

Selection of Logistic Web Services Based on Fuzzy Evaluation on Principal Component of Quality of Service

Dongmin Li*,** and Huanshui Zhang*

*School of Control Science and Engineering, Shandong University, No.17923, JingShi Street, Ji’nan, Shandong 250061, China

**Department of Mechanical and Electronic Engineering, Shandong University of Science and Technology, No.223, DaiZong Street, Tai’an, Shandong 271019, China

Received:
October 29, 2013
Accepted:
May 15, 2014
Online released:
September 20, 2014
Published:
September 20, 2014
Keywords:
quality of logistic web service, service selection, principal components analysis, comprehensive evaluation system, trapezoidal fuzzy number
Abstract

The current results on logistic Web services selection are not optimal due to some key quality indexes of logistic Web services excluded, in order to resolve the above problem, an evaluation system on quality of service is established by use of principal component analysis based on quality of logistic service, quality of Web service, and satisfaction of customers. The values of quality of service with subjective uncertainty in the evaluation system are given with trapezoidal fuzzy number according to the definition of logistic business and evaluation from domain experts and customers, besides, the weight on each quality of service is given by pairwise comparison, and an algorithm based on analytic hierarchy process for logistic Web service selection is established. The optimal service is got by adopting the algorithm in the logistic scenario on automotive transportation, which proves that the way on service selection in this paper is feasible and effective.

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Last updated on May. 29, 2017