skip to main content

DOE PAGESDOE PAGES

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

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.
Authors:
 [1] ;  [1] ;  [1] ;  [2]
  1. National Research Nuclear Univ. MEPHI (IATE, NRNU, MEPHI), Obninsk (Russian Federation)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
Publication Date:
OSTI Identifier:
1188225
Report Number(s):
BNL--107950-2015-JA
Journal ID: ISSN 1875-6891; R&D Project: N/A; 600301010
Grant/Contract Number:
SC00112704
Type:
Accepted Manuscript
Journal Name:
International Journal of Computational Intelligence Systems
Additional Journal Information:
Journal Volume: 8; Journal Issue: 3; Journal ID: ISSN 1875-6891
Publisher:
Atlantis Press
Research Org:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org:
CRADA - Work for Others (WFO)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING multi-criteria decision analysis; MCDA systems; spatial decision support systems; land-use planning; risk management; uncertainty analysis