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https://www.researchgate.net/publication/259584687_Stakeholders_consultation_for_Bayesian_Decision_Support_Systems_in_environmental_management
Stakeholders consultation for Bayesian Decision Support Systems in environmental management Conference Paper (PDF Available) · January 2004 with 71 Reads How we measure 'reads'
https://pdfs.semanticscholar.org/4b7c/60cd37dc79362c4a0e3a2fe528d51855dd90.pdf
1 Baran E., JantunenT. 2004 Stakeholder consultation for Bayesian Decision Support Systems in environmental management. Proceedings of the Regional Conference on Ecological and Environmental Modeling (ECOMOD 2004), Universiti Sains …
https://www.sciencedirect.com/science/article/abs/pii/S0006320708002693
The complex and dynamic nature of environmental problems requires flexible and transparent decision-making that embraces a diversity of knowledges and values. For this reason, stakeholder participation in environmental decision-making has been increasingly sought and embedded into national and international policy.Cited by: 3207
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.641.1610
This chapter presents the methodological aspects of the development of a decision support system (DSS) based on Bayesian networks and aiming at assisting in the management of water-dependent resources (rice, fish, shrimp and crab).
http://www.iemss.org/iemss2010/papers/S24/S.24.12.The%20value%20of%20using%20Bayesian%20Networks%20in%20Environmental%20Decision%20Support%20Systems%20to%20support%20natural%20resource%20management%20-%20WENDY%20MERRITT.pdf
W.S. Merritt et al. / The value of using Bayesian Networks in Environmental Decision Support Systems to support natural resource management. A similar process is being used to develop the two EDSS (Figure 1). Researchers and EDSS users scoped the focus issue(s) and scale of the EDSS which informed the development of the EDSS framework.
https://slrconsulting.com/services/eia-sia/stakeholder-engagement-consultation
Stakeholder Engagement & Consultation. A core principle for sustainable development is that a decision, project or initiative needs to be financially viable, environmentally responsible and socially acceptable. Lack of stakeholder and community acceptance is a key project risk factor.
https://pdfs.semanticscholar.org/0c20/8fea4d8093a86ee72529809037d25bf8b303.pdf
effective means to involve stakeholder groups in the decision-making process. 3. BAYESIAN NETWORK (BN) A Bayesian belief network (BN), also called a belief network, is a type of decision support system based on probability theory which implements Bayes’ rule of probability (Pearl, 1988; Cowell et al., 1999; Jensen, 2001; Korb and Nicholson, 2004).
https://file.scirp.org/pdf/OJBM_2016011210364017.pdf
environmental factors, including social, cultural, economic, technology, competition, ecological, political and legal. Though the decision support system has been implemented across various application areas, however, a successful decision support system implementation is still nascent. CDSS market is still emerging and under-
https://www.norsys.com/downloads/BBN%20Guidelines%20-%20Cain.pdf
development programmes. They provide a guide to the use of Bayesian networks- an approach to decision support which is holistic, easy to use and encourages stakeholder involvement. People who have used them have found that they can help make the formulation of management strategies more rigorous and comprehensive.
https://www.intechopen.com/books/efficient-decision-support-systems-practice-and-challenges-from-current-to-future/decision-support-systems-in-water-resources-planning-and-management-stakeholder-participation-and-th
Decision Support Systems in Water Resources Planning and Management: Stakeholder Participation and the Sustainable Path to Science-Based Decision Making, Efficient Decision Support Systems - Practice and Challenges From Current to Future, Chiang Jao, IntechOpen, DOI: 10.5772/16897.Cited by: 16
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