Decerns: A framework for multi-criteria decision analysis

Yatsalo, Boris; Didenko, Vladimir; Gritsyuk, Sergey; Sullivan, Terry

doi:10.1080/18756891.2015.1023586

Title: Decerns: A framework for multi-criteria decision analysis

Journal Article · Fri Feb 27 00:00:00 EST 2015 · International Journal of Computational Intelligence Systems

DOI:https://doi.org/10.1080/18756891.2015.1023586· OSTI ID:1188225

Yatsalo, Boris ^[1]; Didenko, Vladimir ^[1]; Gritsyuk, Sergey ^[1]; Sullivan, Terry ^[2]

National Research Nuclear Univ. MEPHI (IATE, NRNU, MEPHI), Obninsk (Russian Federation)
Brookhaven National Lab. (BNL), Upton, NY (United States)

A new framework, Decerns, for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. Decerns framework contains a library of modules that are the basis for two scalable systems: DecernsMCDA for analysis of multicriteria problems, and DecernsSDSS for multicriteria analysis of spatial options. DecernsMCDA includes well known MCDA methods and original methods for uncertainty treatment based on probabilistic approaches and fuzzy numbers. As a result, these MCDA methods are described along with a case study on analysis of multicriteria location problem.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: CRADA - Work for Others (WFO)

Grant/Contract Number:: SC00112704

OSTI ID:: 1188225

Report Number(s):: BNL-107950-2015-JA; R&D Project: N/A; 600301010

Journal Information:: International Journal of Computational Intelligence Systems, Vol. 8, Issue 3; ISSN 1875-6891

Publisher:: Atlantis PressCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 29 works

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Title: Decerns: A framework for multi-criteria decision analysis

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