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Multi-Criteria Decision Aiding with the Use of DECERNS WebSDSS

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1 Multi-Criteria Decision Aiding with the Use of DECERNS WebSDSS
MCDM | June 21-27, 2009 Multi-Criteria Decision Aiding with the Use of DECERNS WebSDSS Boris Yatsalo, Sergey Gritsyuk, Obninsk State Technical University, Obninsk, Russia ISTC partner project #3549

2 Decision Evaluation in Complex Risk Network Systems
DECERNS – Decision Evaluation in Complex Risk Network Systems The main objective: creation of methods and software tools that will provide decision support on land use planning and management.

3 Integration of: GeoInformation systems (GIS),
Multi-Criteria Decision Analysis (MCDA), Models – human health risk, ecological risk, economical assessments

4 Implementation analysis of spatial multi-criteria problems site-suitability problems, housing development, site-selection, habitat site selection, location of a facility, etc. land use planning and management allocation of land to different uses: agriculture, recreational, including waste disposal, health care resource allocation, etc.

5 Generalized architecture
Web Application Stand-Alone Application WEB Services Program Libraries GUI (Swing, HTML & JavaScript) Application Programming Interface (API) GIS subsystem - Vector and Raster models - Basic / Advanced GIS functions - Geostatistical analysis DSS subsystem - Basic / Advanced MCDA methods - Group and Individual methods Models Standard or Application Specific models Application specific data Geographic Maps, Ecological, etc data Models server

6 GIS subsystem main functions:
Multi-layered maps visualization and coloring Measurements (distance along polylines, polygon area) Zooming and Panning Features selection (single and multi select) and searching Overlays Buffering Rasterization Spatial interpolation and geostatistics Support of all common map formats

7 GIS: multi-layered map visualization

8 GIS: buffer zones

9 GIS: overlays 3 2 Intersection 4 1 Join, Subtraction

10 and other functions ...

11 MCDA subsystem provides implementation of
Different MCDA methods (MADM) MAVT, AHP, TOPSIS, PROMETHEE; and advanced methods: MAUT, ProMAA, Fuzzy MAVT, FMAA Effective interaction with GIS subsystem Individual and Group Decision-Making Support

12 MCDA: Value Tree

13 MCDA: performance table

14 MCDA: base methods MAVT – aggregation AHP – pairwise comparison
TOPSIS – distance to ideal point PROMETHEE – pairwise comparison based on preference functions

15 MCDA: advanced methods
MAUT – (uncertain criterion values/= probabilities) Fuzzy MAVT (MAVT + uncertainty/ = fuzzy theory ProMAA – Probabilistic Multicriteria Acceptability Analysis, distrinuted criterion values and weights probability that alternative will have rank k FMAA – (MAA + fuzzy criterion values and weights)

16 DECERNS WebSDSS/ MCDA subsystem

17 DECERNS WebSDSS/ MCDA subsystem

18 DECERNS WebSDSS/ MCDA subsystem

19 DECERNS WebSDSS/ MCDA subsystem

20 MCDA: sensitivity analysis

21 Integration GIS & MCDA subsystems
[Spatial] Problem structuring Criteria specification Development of [Spatial] Alternatives Using SDSS (GIS, Models, expert judgments) for assessing criteria against the developed alternatives

22 DECERNS WebSDSS

23 DECERNS WebSDSS

24 CASE STUDY 1.1 & 1.2 Land suitability for Housing development

25 1.1 – GIS analysis 1.2 – GIS+MCDA analysis
Criteria: C1 – proximity to the cities C2 – proximity to major roads C3 – proximity to rivers or lakes C4 – distance from wetlands C5 – distance from rail roads Constraints: 1<C1<4 km 0.15<C2<1.5 km 0.1<C3<1 km 0.5<C4 km 0.3<C5 km Additional criteria: C6 - proximity to forest; C7 - distance from stockyards / cattle-breeding farm, max; C8 - distance from ecologically adverse objects, max; C9 - level of radioactive or/and chemical contamination, min; C10 – general (qualitative) assessment of the local landscape/site quality, max; C11 – cost, min + additional constraints

26 CS 1.1: Source and generated layers

27 CS 1.1: All the Buffer layers (for C1-C5)
Output Layer C=C1&C2&C3 – (C4-) –(C5-)

28 CS 1.2: MCDA, MC-Problem structuring
Value tree and Value Function Performance table

29 CS 1.2: MAVT, Ranking alternatives

30 CS 1.2: MAVT, Sensitivity analysis (VF)

31 Potential Users of DECERNS
State and regional departments, business companies, and individual experts responsible or involved in decision- making process (especially on landuse planning / management, remediation of contaminated sites, monitoring and environmental protection) Educational and specialized centers working with GIS and Web-solutions, risk analysis and management, MCDA, and implementation of the methods indicated within solving a wide range of scientific and practical problems


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