PMC:7796058 / 30133-30690 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7796058","sourcedb":"PMC","sourceid":"7796058","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7796058","text":"The SMCDA simultaneously represents decision spaces as well as criteria values based on attribute and geographic topology [50]. For this research, topological relationships from the OGC IndoorGML dual graph were used for risk aggregation for the multi-sensor system. A scientific SMCDA process can be put in place using the different steps shown Figure 6. In order to initialize the decision-making process for this paper, equal weights for various risk criteria map layers were considered. This helped ensure fast implementation and quick proof of concept.","tracks":[{"project":"LitCovid-sentences","denotations":[{"id":"T192","span":{"begin":0,"end":127},"obj":"Sentence"},{"id":"T193","span":{"begin":128,"end":266},"obj":"Sentence"},{"id":"T194","span":{"begin":267,"end":355},"obj":"Sentence"},{"id":"T195","span":{"begin":356,"end":490},"obj":"Sentence"},{"id":"T196","span":{"begin":491,"end":557},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"attributes":[{"subj":"T192","pred":"source","obj":"LitCovid-sentences"},{"subj":"T193","pred":"source","obj":"LitCovid-sentences"},{"subj":"T194","pred":"source","obj":"LitCovid-sentences"},{"subj":"T195","pred":"source","obj":"LitCovid-sentences"},{"subj":"T196","pred":"source","obj":"LitCovid-sentences"}]}],"config":{"attribute types":[{"pred":"source","value type":"selection","values":[{"id":"LitCovid-sentences","color":"#ecae93","default":true}]}]}}