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A Service Selection Algorithm Based on Heterogeneous QoS Model and Synthetic Weights
Abstract:
Quality of Service (QoS) aware-based service selection problem is a multi-attribute decision making problem. In order to solve service selection problem with QoS indicators describe by different types of data, a service selection algorithm based on heterogeneous QoS model and synthetic weight (SSAoHS) is proposed. SSAoHS introduces real number, interval number and linguistic data to describe different QoS attributes, considers the subjective and objective weights wholly, and makes the final decision referring to the expectation and variance of QoS attributes after computing the synthetic scores. SSAoHS expands the traditional service selection and it is efficient and effective.
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Pages:
459-462
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Online since:
February 2015
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© 2015 Trans Tech Publications Ltd. All Rights Reserved
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