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This paper addresses the problem of option ranking in qualitative evaluation models. Current approaches make the assumptions that when qualitative data are suitably mapped into discrete quantitative ones, they form monotone or closely linear tabular value functions. Although the power of using...
Persistent link: https://www.econbiz.de/10011140165
In the paper we present applications of a qualitative multi-attribute modelling method DEX for decision support about the introduction and use of geneticallymodified organisms (GMO) for food and feed. In three 5th and 6th Framework Programme European projects, we have developed a number of...
Persistent link: https://www.econbiz.de/10011095766
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This article presents a participatory design approach to Decision Support Systems, which is specifically built to face the socio-technical gap that often impedes DSS acceptability by end-users in real work environments. The approach has been experimented in two case studies in the field of...
Persistent link: https://www.econbiz.de/10011120090
Crop protection in general and apple crop protection in particular often rely on pesticides, although several alternative pest management measures are available. In this context European agricultural policy requires the implementation of Integrated Pest Management (IPM) by 2014. Within IPM, more...
Persistent link: https://www.econbiz.de/10011040260
Decision modelling of diverse groups of problems makes different requirements to the modelling methodologies and software. We present an actual decision problem and the required characteristics of corresponding decision models. The problem is from agronomy and addresses the ecological and...
Persistent link: https://www.econbiz.de/10005151697
Purpose The purpose of this paper is to address the problem of weak acceptance of machine learning (ML) models in business. The proposed framework of top-performing ML models coupled with general explanation methods provides additional information to the decision-making process. This builds a...
Persistent link: https://www.econbiz.de/10014826110
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