Ranking Cloud Services Using Fuzzy Multi-Attribute Decision Making

被引：13

作者：

Shivakumar, Uppala ^{[1
]}

Ravi, Vadlamani ^{[1
]}

Gangadharan, G. R. ^{[1
]}

机构：

[1] Inst Dev & Res Banking Technl, Castle Hills,Rd 1, Hyderabad 500057, Andhra Pradesh, India

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013) | 2013年

关键词：

Cloud computing; Quality of service; Fuzzy multi-attribute decision making;

D O I：

10.1109/FUZZ-IEEE.2013.6622319

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose the use of fuzzy multi attribute decision making to rank Cloud services with respect to a host of standard quality of service attributes. The important contribution of the paper is the recognition of the quality of service attributes as fuzzy sets and then formulating the selection of the best Cloud service as a fuzzy multi attribute decision making problem. We employed fuzzy 'and' operator to model the final decision as the intersection of the underlying fuzzy sets. Results are compared with a previous study where only analytic hierarchy process was used and the rankings produced by the current study turned out to be different.

引用

页数：8

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