Bringing understanding in societal decision making: explaining and communicating analyses?

Niculae, Carmen; French, Simon

doi:10.1002/mcda.356

Cited by 6 publications

(4 citation statements)

References 41 publications

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“…Concurrently, the development of the Internet has provided an infrastructure to achieve these ends through substantive e-democracy. e-Democracy systems have the potential to draw on developments in decision support systems (DSS), involving stakeholders and the public in societal decisions (Niculae and French 2005). Ballas et al (2003) demonstrates the potential for linking GIS-based spatial microsimulation decision support systems (SDSS) to Virtual Decision-Making Environments (VDMEs) to allow local policy makers as well as the general public to explore local policy problems and become more involved in the public participation processes.…”

Section: Determining the Best Practice And Some Lessons To Be Learned...mentioning

confidence: 99%

Application of E‐technologies for Regional Development: The Case of Vilnius City

Zavadskas

Kaklauskas

Banaitis

2010

Journal of Business Economics and Management

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The investigation carried out by the authors of this paper under “Intelligent Cities” (Framework 6 programme) and e‐City (Phare PPF) projects helped to identify and describe major trends of e‐cities development in industrialized countries as well as providing recommendations for e‐Vilnius development. Research included the following four stages: comparative description of the e‐cities development in developed countries and in Vilnius, comparison and contrast of e‐cities development in developed countries and in Vilnius, development of some of the general recommendations as how to improve the efficiency levels for e‐Vilnius, submission of particular recommendations for e‐Vilnius. In order to throw more light on the Model, a more detailed description of some above stages follows in the paper. Santrauka Šio straipsnio autoriu atliktas tyrimas pagal projektus “Protingi miestai” (6‐oji bendroji programa) ir “E.miestas” (Phare PPF) padejo nustatyti bei aprašyti pagrindines kryptis, leidžiančias pletoti e. miestus industrializuotose šalyse, ir pateikti elektronines Vilniaus pletros rekomendacijas. Tyrima sudaro keturios pakopos: lyginamojo e. miestu pletojimo išsivysčiusiose šalyse ir Vilniuje aprašymas, e. miestu pletojimo išsivysčiusiose šalyse ir Vilniuje sugretinimas bei skirtumu tarp ju parodymas, bendruju rekomendaciju, kaip pakelti e. Vilniaus pletros efektyvuma, sukūrimas ir sukurtu rekomendaciju pateikimas. Kad svarstomas modelis būtu aiškesnis, pateikiamas išsamesnis kai kuriu pakopu aprašymas.

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Section: Determining the Best Practice And Some Lessons To Be Learned...mentioning

confidence: 99%

Application of E‐technologies for Regional Development: The Case of Vilnius City

Zavadskas

Kaklauskas

Banaitis

2010

Journal of Business Economics and Management

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Section: Description Of the Postermentioning

confidence: 99%

Modeling and forecasting of e-Vilnius development

Kaklauskas

2006

Proceedings of the 2006 International Conference on Digital Government Research

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The investigation carried out by the author of this paper under "Intelligent Cities" and e-City projects helped to identify and describe major trends of e-cities development in industrialized countries as well as providing recommendations for e-Vilnius's development. Research included the following four stages: comparative description of the e-cities development in developed countries and in Vilnius, comparison and contrast of e-cities development in developed countries and Vilnius, development of some of the general recommendations as how to improve the efficiency levels for a e-Vilnius, submission of particular recommendations for the e-Vilnius.

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“…The ability of a decision support system to justify a decision strategy is an expectation of project managers and working groups in order to establish presentation reports throughout the lifetime and on completion of the project (Dasarathy, 2000;Montmain et al, 2002;Moraı¨tis and Tsoukia`s, 2003;Niculae and French, 2003). As a consequence, the DMSS must be able to extract the most significant and decisive items of relevant knowledge from the associated KDMS.…”

Section: A Dmp Cybernetic Frameworkmentioning

confidence: 99%

Elucidation and decisional risk in a multi‐criteria decision based on a Choquet integral aggregation—a cybernetic framework

Montmain

Mauris²,

Akharraz³

2005

Multi Criteria Decision Anal

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The authors are developing multi-criteria Decision-making support systems (DMSS) for project teams in charge of selecting a technical solution among alternatives. They propose a cybernetic framework to emphasize the link between decision-making (DM) and knowledge management processes in such projects. These DMSSs rely on the tracking of the accompanying knowledge production of long-term decisional processes by a collective with many actors. Based on knowledge-production management, this paper explains how to design decisional risk evaluation, monitoring and control aids and traceability functions for strategic choices and logical argumentation. The DMSS is seen as a recommender system for the project manager. Each possible solution involved in the decision-making process (DMP) is evaluated by means of a set of criteria. The evaluation results from an interpretation of the knowledge items in terms of satisfaction scores of the solutions according to the considered criteria. Aggregating these partial scores provides a ranking of all the possible solutions by order of preference. As criteria are sometimes interacting, the aggregation has to be based on adapted operators, i.e. Choquet integrals. Evaluating possible solutions by the knowledge contained in the knowledge base (KB) opens the way to automating the argumentation of the project team's decisions: the argumentation principle underlying this approach is based naturally on coupling a knowledge dynamical management system (KDMS) with the DMSS. The DMSS also evaluates the decisional risk that reflects the eventuality of a wrong selection due to the insufficiency of available knowledge at a given time in order to adopt a reliable solution. Decisional risk assessment corresponds to sensitivity analyses. These analyses are then exploited to control the decisional risk in time: they enable to identify the crucial information points for which additional and deeper investigations would be of great interest to improve the stability of the selection in the future.The knowledge management of a collective project is represented as a control loop: the KDMS is the actuator, the risk accompanying the decision is the controlled variable and is strongly linked to the entropy of the KB managed by the KDMS. Each of the three phases}intelligence, design, choice}of the DMP is identified to a function of the control loop: actuator, process and regulator. This cybernetic framework for decision has its origin in knowledge management activities for a great-scale project}the EtLD 1 project of the French Atomic Commission (CEA) that concerns the management of high-level long-life radioactive waste in France.

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Bringing understanding in societal decision making: explaining and communicating analyses?

Cited by 6 publications

References 41 publications

Application of E‐technologies for Regional Development: The Case of Vilnius City

Application of E‐technologies for Regional Development: The Case of Vilnius City

Modeling and forecasting of e-Vilnius development

Elucidation and decisional risk in a multi‐criteria decision based on a Choquet integral aggregation—a cybernetic framework

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