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  • Traditional EIA methods are unable to handle efficiently and properly such decision making process, and consequently more efficient method resorts to the opinions of group of relevant experts in order to enhance the reliability of the assessment decision. However, experts’ assessments are usually in heterogeneous forms, multi-metric or multi-criterion and usually conflicting. This article presents a fuzzy decision making systems (FDMS) that enables heterogeneous experts’ preference ratings assessment and provides for aggregation of those opinions over multi-metric scales. Experts can provide their opinion in form of crisp, linguistic or fuzzy values.
  • Traditional EIA methods are unable to handle efficiently and properly such decision making process, and consequently more efficient method resorts to the opinions of group of relevant experts in order to enhance the reliability of the assessment decision. However, experts’ assessments are usually in heterogeneous forms, multi-metric or multi-criterion and usually conflicting. This article presents a fuzzy decision making systems (FDMS) that enables heterogeneous experts’ preference ratings assessment and provides for aggregation of those opinions over multi-metric scales. Experts can provide their opinion in form of crisp, linguistic or fuzzy values. (en)
Title
  • Modeling Heterogeneous Experts’ Preference Ratings for Environmental Impact Assessment Through a Fuzzy Decision Making System
  • Modeling Heterogeneous Experts’ Preference Ratings for Environmental Impact Assessment Through a Fuzzy Decision Making System (en)
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  • Modeling Heterogeneous Experts’ Preference Ratings for Environmental Impact Assessment Through a Fuzzy Decision Making System
  • Modeling Heterogeneous Experts’ Preference Ratings for Environmental Impact Assessment Through a Fuzzy Decision Making System (en)
skos:notation
  • RIV/60460709:41110/11:51393!RIV12-MSM-41110___
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  • RIV/60460709:41110/11:51393
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  • Environmental Impact Assessment (EIA), Fuzzy Logics, Heterogeneous Experts Preferences, Multi-metric Evaluation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [013DDDB90FE7]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Business Information Processing
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  • 359
http://linked.open...iv/tvurceVysledku
  • Aly, Shady
  • Vrana, Ivan
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  • 0
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  • 1865-1348
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  • 41110
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