An Optimized Service Selection System Using Fuzzy Logic and Genetic Algorithm
| dc.contributor.author | Ogude, U.C | |
| dc.contributor.author | Onyejegbu, L.N | |
| dc.date.accessioned | 2019-08-30T10:10:08Z | |
| dc.date.available | 2019-08-30T10:10:08Z | |
| dc.date.issued | 2015 | |
| dc.description | Staff Publications | en_US |
| dc.description.abstract | Various QoS non-functional characteristics are described as measureable quantities and expressed in terms of reputation, reliability and availability, cost and response time. In [1] , we introduced a framework for the Development of An Optimized Solution for Quality of Service Delivery Using Fuzzy Logic and Genetic Algorithm. We elucidated the fact that Quality of Service (QoS) plays a major role in selecting web services in terms of qualitative measure We proposed a future work that will delve into the implementation procedure for web service selection. In this paper, we reviewed existing selection systems and their designs and then presents a Fuzzy and genetic algorithms based system to provide optimality in web services selection. | en_US |
| dc.identifier.citation | Ogude U.C. & Onyejegbu L. N. (2015). An Optimized Service Selection System Using Fuzzy Logic and Genetic Algorithm. Afr J. of Comp & ICTs. Vol.8(3) 33-44pp. | en_US |
| dc.identifier.uri | https://ir.unilag.edu.ng/handle/123456789/4929 | |
| dc.language.iso | en | en_US |
| dc.publisher | African Journal of Computing & ICT | en_US |
| dc.relation.ispartofseries | Afr J. of Comp & ICTs.;Vol.8(3) | |
| dc.subject | Quality of Service | en_US |
| dc.subject | Quality of Service Delivery | en_US |
| dc.subject | Fuzzy Logic and Genetic Algorithm | en_US |
| dc.subject | Information technology | en_US |
| dc.subject | Research Subject Categories::TECHNOLOGY | en_US |
| dc.title | An Optimized Service Selection System Using Fuzzy Logic and Genetic Algorithm | en_US |
| dc.type | Article | en_US |