APPLICATIONS OF GEOGRAPHIC INFORMATION SYSTEM AND THE THEORY OF EVIDENCE FOR WASTE DISPOSAL SITE SELECTION
| dc.contributor.author | Babalola, A. | |
| dc.date.accessioned | 2022-12-16T19:51:01Z | |
| dc.date.available | 2022-12-16T19:51:01Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | The increase in population and improved life style have led to the growth in the amount of municipal solid waste generation the world over, and the need to identify or locate suitable place (s) for these wastes to be dumped has also increased tremendously. This paper provides an overview of the theory of evidence and its applications to solid waste management. The theory of evidence particularly, Bayesian probability and the Dempster-Shafer theory (DST) approaches has emerged and has found favour in many types of applications such as signal detection, image classification, and sensor fusion. Here the DST approach is used to identify suitable sites for landfill in Damaturu. The DST method shows promise for the identification or location of sites for Waste management | en_US |
| dc.identifier.citation | Babalola (2017) | en_US |
| dc.identifier.issn | 0794-9154 | |
| dc.identifier.uri | https://uilspace.unilorin.edu.ng/handle/20.500.12484/8038 | |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Geography, Nassarawa State University, Keffi | en_US |
| dc.relation.ispartofseries | Volume 8;No. 1 | |
| dc.subject | Theory of Evidence | en_US |
| dc.subject | Dempster-Shafer, | en_US |
| dc.subject | GIS | en_US |
| dc.subject | Landfill | en_US |
| dc.subject | Waste Management | en_US |
| dc.title | APPLICATIONS OF GEOGRAPHIC INFORMATION SYSTEM AND THE THEORY OF EVIDENCE FOR WASTE DISPOSAL SITE SELECTION | en_US |
| dc.title.alternative | GEOGRAPHIC INFORMATION SYSTEM | en_US |
| dc.title.alternative | THEORY OF EVIDENCE FOR WASTE DISPOSAL | en_US |
| dc.title.alternative | DISPOSAL SITE SELECTION | en_US |
| dc.type | Article | en_US |