The Experts below are selected from a list of 183975 Experts worldwide ranked by ideXlab platform
Emmanuelle Cheyns - One of the best experts on this subject based on the ideXlab platform.
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voluntary standards Expert Knowledge and the governance of sustainability networks
Global Networks-a Journal of Transnational Affairs, 2013Co-Authors: Stefano Ponte, Emmanuelle CheynsAbstract:Products certified according to their environmental and social sustainability are becoming an important feature of production, trade and consumption in the agro-food sector. 'Sustainability networks' are behind the emergence and growth of these new product forms, often evolving into multi-stakeholder initiatives that establish and manage base codes, standards, certifications and labels. As sustainability moves into the mainstream, understanding the governance of these networks is essential because they partly reshape the structure and characteristics of commodity flows. In this article, we examine the role of Expert Knowledge and process management in governing two multi-stakeholder initiatives (the Marine Stewardship Council and the Roundtable for Sustainable Palm Oil) and in shaping their distributional effects. We find that the ability of developing countries, especially small-scale actors within them, to shape standard setting and management to their advantage depends not only on overcoming important structural differences in endowments and access to resources, but also on more subtle games. These include promoting the enrolment of one Expert group or kind of Expert Knowledge over another, using specific formats of negotiation, and legitimating particular modes of engagement over others. (Resume d'auteur)
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Voluntary standards, Expert Knowledge and the governance of sustainability networks
Global Networks, 2013Co-Authors: Stefano Ponte, Emmanuelle CheynsAbstract:Products certified according to their environmental and social sustainability are becoming an important feature of production, trade and consumption in the agro-food sector. 'Sustainability networks' are behind the emergence and growth of these new product forms, often evolving into multi-stakeholder initiatives that establish and manage base codes, standards, certifications and labels. As sustainability moves into the mainstream, understanding the governance of these networks is essential because they partly reshape the structure and characteristics of commodity flows. In this article, we examine the role of Expert Knowledge and process management in governing two multi-stakeholder initiatives (the Marine Stewardship Council and the Roundtable for Sustainable Palm Oil) and in shaping their distributional effects. We find that the ability of developing countries, especially small-scale actors within them, to shape standard setting and management to their advantage depends not only on overcoming important structural differences in endowments and access to resources, but also on more subtle games. These include promoting the enrolment of one Expert group or kind of Expert Knowledge over another, using specific formats of negotiation, and legitimating particular modes of engagement over others. (Résumé d'auteur
S. Populaire - One of the best experts on this subject based on the ideXlab platform.
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Fusion of Expert Knowledge with data using belief functions: a case study in waste-water treatment
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997), 2002Co-Authors: S. Populaire, Jonathan Blanc, P. Ginestet, Thierry DenoeuxAbstract:This paper presents a methodology for combining Expert Knowledge with information from statistical data, in classification and prediction problems. The method is based on (1) a case-based approach allowing to predict a quantity of interest from past cases in the form of a belief function, (2) Bayesian networks for modelling Expert Knowledge and (3) a tuning mechanism allowing to optimally discount information sources by optimizing a performance criterion. This methodology is applied to the prediction of chemical oxygen demand solubility in waste-water The approach is expected to be useful in situations where both small databases and partial Expert Knowledge are available.
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Combining Expert Knowledge with data based on belief function theory: an application in waste water treatment
IEEE International Conference on Systems Man and Cybernetics, 1Co-Authors: S. Populaire, T. DenceuxAbstract:This paper presents a methodology for combining Expert Knowledge with information from statistical data, in classification and prediction problems. The method is based on (1) a case-based approach allowing to predict a quantity of interest from past cases in the form of a belief function, (2) Bayesian networks for modelling Expert Knowledge and (3) a tuning mechanism allowing to optimally discount information sources by optimizing a performance criterion. This methodology is applied to the prediction of chemical oxygen demand solubility in wastewater. The approach is expected to be useful in situations where both small databases and partial Expert Knowledge are available.
T. Denceux - One of the best experts on this subject based on the ideXlab platform.
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Combining Expert Knowledge with data based on belief function theory: an application in waste water treatment
IEEE International Conference on Systems Man and Cybernetics, 1Co-Authors: S. Populaire, T. DenceuxAbstract:This paper presents a methodology for combining Expert Knowledge with information from statistical data, in classification and prediction problems. The method is based on (1) a case-based approach allowing to predict a quantity of interest from past cases in the form of a belief function, (2) Bayesian networks for modelling Expert Knowledge and (3) a tuning mechanism allowing to optimally discount information sources by optimizing a performance criterion. This methodology is applied to the prediction of chemical oxygen demand solubility in wastewater. The approach is expected to be useful in situations where both small databases and partial Expert Knowledge are available.
Stefano Ponte - One of the best experts on this subject based on the ideXlab platform.
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voluntary standards Expert Knowledge and the governance of sustainability networks
Global Networks-a Journal of Transnational Affairs, 2013Co-Authors: Stefano Ponte, Emmanuelle CheynsAbstract:Products certified according to their environmental and social sustainability are becoming an important feature of production, trade and consumption in the agro-food sector. 'Sustainability networks' are behind the emergence and growth of these new product forms, often evolving into multi-stakeholder initiatives that establish and manage base codes, standards, certifications and labels. As sustainability moves into the mainstream, understanding the governance of these networks is essential because they partly reshape the structure and characteristics of commodity flows. In this article, we examine the role of Expert Knowledge and process management in governing two multi-stakeholder initiatives (the Marine Stewardship Council and the Roundtable for Sustainable Palm Oil) and in shaping their distributional effects. We find that the ability of developing countries, especially small-scale actors within them, to shape standard setting and management to their advantage depends not only on overcoming important structural differences in endowments and access to resources, but also on more subtle games. These include promoting the enrolment of one Expert group or kind of Expert Knowledge over another, using specific formats of negotiation, and legitimating particular modes of engagement over others. (Resume d'auteur)
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Voluntary standards, Expert Knowledge and the governance of sustainability networks
Global Networks, 2013Co-Authors: Stefano Ponte, Emmanuelle CheynsAbstract:Products certified according to their environmental and social sustainability are becoming an important feature of production, trade and consumption in the agro-food sector. 'Sustainability networks' are behind the emergence and growth of these new product forms, often evolving into multi-stakeholder initiatives that establish and manage base codes, standards, certifications and labels. As sustainability moves into the mainstream, understanding the governance of these networks is essential because they partly reshape the structure and characteristics of commodity flows. In this article, we examine the role of Expert Knowledge and process management in governing two multi-stakeholder initiatives (the Marine Stewardship Council and the Roundtable for Sustainable Palm Oil) and in shaping their distributional effects. We find that the ability of developing countries, especially small-scale actors within them, to shape standard setting and management to their advantage depends not only on overcoming important structural differences in endowments and access to resources, but also on more subtle games. These include promoting the enrolment of one Expert group or kind of Expert Knowledge over another, using specific formats of negotiation, and legitimating particular modes of engagement over others. (Résumé d'auteur
Thierry Denoeux - One of the best experts on this subject based on the ideXlab platform.
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a hybrid belief rule based classification system based on uncertain training data and Expert Knowledge
Systems Man and Cybernetics, 2016Co-Authors: Lianmeng Jiao, Thierry Denoeux, Quan PanAbstract:In some real-world classification applications, such as target recognition, both training data collected by sensors and Expert Knowledge may be available. These two types of information are usually independent and complementary, and both are useful for classification. In this paper, a hybrid belief rule-based classification system (HBRBCS) is developed to make joint use of these two types of information. The belief rule structure, which is capable of capturing fuzzy, imprecise, and incomplete causal relationships, is used as the common representation model. With the belief rule structure, a data-driven belief rule base (DBRB) and a Knowledge-driven belief rule base (KBRB) are learned from uncertain training data and Expert Knowledge, respectively. A fusion algorithm is proposed to combine the DBRB and KBRB to obtain an optimal hybrid belief rule base (HBRB). A belief reasoning and decision-making module is then developed to classify a query pattern based on the generated HBRB. An airborne target classification problem in the air surveillance system is studied to demonstrate the performance of the proposed HBRBCS for combining both uncertain sensor measurements and Expert Knowledge to make classification.
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Fusion of Expert Knowledge with data using belief functions: a case study in waste-water treatment
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997), 2002Co-Authors: S. Populaire, Jonathan Blanc, P. Ginestet, Thierry DenoeuxAbstract:This paper presents a methodology for combining Expert Knowledge with information from statistical data, in classification and prediction problems. The method is based on (1) a case-based approach allowing to predict a quantity of interest from past cases in the form of a belief function, (2) Bayesian networks for modelling Expert Knowledge and (3) a tuning mechanism allowing to optimally discount information sources by optimizing a performance criterion. This methodology is applied to the prediction of chemical oxygen demand solubility in waste-water The approach is expected to be useful in situations where both small databases and partial Expert Knowledge are available.
