International Journal of Computational Intelligence Systems

Volume 8, Issue 3, June 2015, Pages 467 - 489

: A Framework for Multi-Criteria Decision Analysis

Authors
Boris Yatsalo, Vladimir Didenko, Sergey Gritsyuk, Terry Sullivan
Corresponding Author
Boris Yatsalo
Available Online 9 January 2017.
DOI
https://doi.org/10.1080/18756891.2015.1023586How to use a DOI?
Keywords
Multi-Criteria Decision Analysis, MCDA systems, Spatial Decision Support Systems, Land-use Planning, Risk Management, Uncertainty analysis
Abstract
A new framework, , for multicriteria decision analysis (MCDA) of a wide range of practical problems on risk management is introduced. framework contains a library of modules that are the basis for two scalable systems: for analysis of multicriteria problems, and for multicriteria analysis of spatial options. includes well known MCDA methods and original methods for uncertainty treatment based on probabilistic approaches and fuzzy numbers. These MCDA methods are described along with a case study on analysis of multicriteria location problem.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 3
Pages
467 - 489
Publication Date
2017/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2015.1023586How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Boris Yatsalo
AU  - Vladimir Didenko
AU  - Sergey Gritsyuk
AU  - Terry Sullivan
PY  - 2017
DA  - 2017/01
TI  - : A Framework for Multi-Criteria Decision Analysis
JO  - International Journal of Computational Intelligence Systems
SP  - 467
EP  - 489
VL  - 8
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1023586
DO  - https://doi.org/10.1080/18756891.2015.1023586
ID  - Yatsalo2017
ER  -