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Reasonable Goals Method and its Web Application for Supporting e-Participation in Environmental Decision Making Alexander V. Lotov Lomonosov Moscow State University, Russia; and Dorodnicyn Computing Center of Russian Academy of Sciences, Russia

Alexander V. Lotov Lomonosov Moscow State University, Russia; and

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Visualization-based Reasonable Goals Method and its Web Application for Supporting e-Participation in Environmental Decision Making. Alexander V. Lotov Lomonosov Moscow State University, Russia; and Dorodnicyn Computing Center of Russian Academy of Sciences , Russia. Plan of the talk. - PowerPoint PPT Presentation

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Page 1: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Visualization-based Reasonable Goals Method

and its Web Application for

Supporting e-Participation in

Environmental Decision MakingAlexander V. Lotov

Lomonosov Moscow State University, Russia;

and

Dorodnicyn Computing Center of Russian Academy of Sciences, Russia

Page 2: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Plan of the talk1. Pareto frontier methods2. Reasonable Goals Method for databases3. Interactive Decision Maps (IDM) technique and visualization of Pareto frontier4. Environmental applications of RGM/IDM 5. On two main tasks of e-participation: a) informing lay stakeholders; and b) negotiation support6. RGM/IDM in Web 7. RGM/IDM in Participatory Decision Support for River Basin Planning (Werra River, Germany)8. Few words on using RGM/IDM in Web for informing lay stakeholders on decision problems related to risks

Page 3: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Classification of MCDA methods according to the role of the Decision Maker

MCDA

no-preference methods

a priori preference methods

interactive methods

a posteriori preference

(Pareto frontier)methods

         

 

Page 4: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Pareto frontier methods

Pareto frontier methods are devoted to approximation of the Pareto set and informing DM concerning it. In contrast to preference-oriented methods, Pareto frontier methods inform the users and help them in forming their preferences. The main problem of Pareto frontier methods:How to inform the users about the Pareto frontier? Two basic ways exist:•By providing a list of the criterion points that belong to the Pareto frontier•By visualization of the Pareto frontier

Page 5: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Structure of a mental model (result of psychological studies)

Visualization can influence all levels of human thinking!

Page 6: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Application of the Pareto frontier visualization in finite multi-attribute

choice problems

The Reasonable Goals MethodWe use visualization aimed at selecting a small number of «interesting» alternatives from a list.

It can be considered as a special form of data mining.

Page 7: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

A decision matrix is considered, i.e., table of N decision alternatives

given by a finite number of attributes

Page 8: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Example: real estate on sale For illustrative purposes, let m=2

The criterion points are enveloped

Page 9: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

We approximate the Edgeworth-Pareto hull of

Such a set is called the Convex

Edgeworth-Pareto hull (CEPH). It includes all

criterion points dominated by the Pareto frontier.

Page 10: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

User explores the Pareto frontier and identifies a reasonable goal. Then,

neighboring criterion points are selected.

Page 11: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

General case (m from 3 to 8)

Visualization of the Pareto frontier is based on approximation of the CEPH

and application of the

Interactive Decision Maps (IDM) technique, which consists in

visualization of collections of

bi-criterion slices of the CEPH (decision maps).

Page 12: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and
Page 13: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

ApproximationBefore the start of interactive visualization, approximation of the CEPH is carried out.

The main problem that was solved by us: optimal algorithms for polyhedral approximation of

convex multi-objective bodies were developed.

Several applications of the IDM/RGM technique

Decision screening in local water quality planning

(Kolomna city region at the Oka River)

Page 14: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Decision map that describes properties of 400 000 decision alternatives

Page 15: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Scheme of the Web application of the RGM/IDM (RGDB application server)

Page 16: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

RGDB server can be used for• a) informing lay stakeholders on environmental decision

problems (especially on possible strategies for solving the problems); and

• b) supporting negotiations.

RGDB server can help lay stakeholders better understand the feasibility frontiers and express preferences by selecting one or several strategies that best fit their concerns. Then, lay stakeholders can base their problem-related legal and political actions (including e-participation) on such knowledge.

It is important that it can be done independently of mass media that can thrust the strategies selected by experts on lay stakeholders.

Page 17: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Application of the RGDB server in negotiation support:

Participatory Decision Support for Integrated River Basin Planning

(Funding: German Federal Ministry of Education and Research)

The RGDB was used in DSS developed by Jörg Dietrich and Andreas H. Schumann,

Ruhr University Bochum, Institute for Hydrology, Water Management and

Environmental Engineering

Page 18: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

DSS was calibrated for the Werra River Basin

Weser

Rhein

Ems Elbe

Werra

For the Participatory Decision Support System, a special form of the Web RGDB was developed. It can support negotiations.

It applies selecting several goals and related small groups of alternatives.

Page 19: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

The Web RGDB application server

Page 20: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and
Page 21: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Architecture of the Web-based DSS

Page 22: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Applications of the IDM/RGM technique in stochastic decision problems for informing lay stakeholders on risks

Criteria are specified on the basis of the cumulative distribution function F(x), i.e. yk=F(x)=P{v<vk}, k=1,..,m, where the values vk are given by the DM. Then, the IDM/RGM technique is used.

Page 23: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Detailed information on the approach is given in the book

Lotov A.V., Bushenkov V.A., and Kamenev G.K.

Interactive Decision Maps. Approximation and Visualization

of Pareto Frontier. Kluwer Academic Publishers, 2004.

Page 24: Alexander V. Lotov Lomonosov Moscow State University, Russia;  and

Our Web address

• http://www.ccas.ru/mmes/mmeda/

http://www.ccas.ru/mmes/mmeda/books/

http://www.ccas.ru/mmes/mmeda/soft/

http://www.ccas.ru/mmes/mmeda/papers/

http://www.ccas.ru/mmes/mmeda/resource/

http://www.ccas.ru/mmes/mmeda/rgdb/index.htm