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Data · dataset · 2026

Dataset of A novel integrated objective-subjective weighting method using principal component analysis to correct correlation bias among criteria in sustainability decision making

Listed in Borealis

This dataset presents raw results related to the development of an integrated objective-subjective weighting method based on principal component analysis.

Description

This dataset documents the principal results presented in the paper and its supplementary materials. The computation method was applied to three comparative case studies from the literature.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Environmental engineering 70%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/NYKQXH5 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4011enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:engineeringsource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:engineeringmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0