DEXi technology has provided solutions in
a variety of international projects
including
EU H2020 Project
James Hutton Institute, Coventry University, Stockbridge Technology Centre, Scotland’s Rural College, Kenya Forestry Research Institute, Catholic University of Portugal, University of Hohenheim, Agricultural University of Athens, Institute for Food Studies & Agro industrial Development ApS
To enhance resilience to combined water and nutrient stress in tomato and to maximize water and nutrient use efficiency
By designing and testing in the field (open and protected) novel combinations of genotypes and management practices reducing the environmental impact of agricultural activities
OUR PROVIDED SOLUTION
DEXiWare was used to optimize a range of crop management strategies, environmental (including water quality) and assess socio-economic impact.
EU H2020 Project
University of Turin, Agricultural University of Athens, Agroilla, Casella macchine agricole, Confagricoltura, Edypro Fertilizantes, European Plant Science Organisation, Gaia epicheirein, Gautier, Institut National de Recherche Agronomique, Neurather Gärtner, Novareckon, The Research and Development Institute for Industrialization and Marketing of Horticultural Products, The University of Bonn, STC Research Foundation, StrigoLab, The Technion-Israel Institute of Technology, The Hebrew University of Jerusalem, The James Hutton Institute, The University of Nottingham, The University of Milan, University of Naples Federico II, The University of the Balearic Islands, Tamburrino
To enhance resilience to combined water and nutrient stress in tomato and to maximize water and nutrient use efficiency of agricultural activities
By designing and testing in the field (open and protected) novel combinations of genotypes and management practices reducing the environmental impact
OUR PROVIDED SOLUTION
Develop a decision support system that assess the resource use efficiency, environmental and socio-economic aspects of greenhouse and open-field tomato production. The system was built for tomato growers and breeders, who would like to increase the resource use efficiency of their tomato production system by modifying the management practices, while meeting the sustainable development criteria.
EU H2020 Project
Wageningen university, Kobenhavns universitet, JRC -joint research centre- European commission, Circa group Europe limited, Plant research, Wageningen university and research, Rijksinstituut voor volksgezondheid en milieu, Szent Istvan egyetem, Ulster university, Universiteit Antwerpen, Assemblee permanente des chambres d'agriculture, Landwirtschaftskammer niedersachsen, Institute of soil science Chinese academy of sciences, Universidade de Sao Paulo, Eidgenoessische technische hochschule Zuerich, Universitatea de stiinte agricole si medicina veterinara Cluj napoca, Sveriges lantbruksuniversitet, Mednarodna podiplomska sola Jozefa Stefana, Universita degli studi di Parma, Universidad de Sevilla
To improve sustainable management of land and soil in Europe
By comprehensively quantifying the current and potential supply of soil functions across the EU, as determined by soil properties (soil diagnostic criteria), land use (arable, grassland, forestry) and soil management practices
OUR PROVIDED SOLUTION
Develop a decision support system that assesses the initial capacities of five soil functions within a field including primary productivity, nutrient cycling, water purification and regulation, carbon sequestration and climate regulation, as well as biodiversity and habitat provision. Additionally, the system also offers targeted solutions and management recommendations to improve the supply of several soil functions simultaneously and assisting farmers and farm advisors to make the right decisions for long term sustainability.
EU H2020 Project
The Balkan Institute for Labour and Social Policy, ScaleFocus, The Bulgarian Red Cross, Caritas Bulgaria, University Rehabilitation Institute SOČA, The Edinburgh Medical School at the University of Edinburgh, Paris-Lodron Universität Salzburg, EURAG, Interactive Wear
To enabele active ageing through multi-modal coaching
By collecting fully ambient data on accessible comodity hardware and the inclusion of social circles for coaching.
OUR PROVIDED SOLUTION
A decision support system underpinning the modality selection mechanism of the system
EU H2020 Project
Fondazione Ospedale San Camillo, Panepistimio Ioanninon, Biotronics 3d Limited, Universidad Politecnica De Madrid, Synthema, Globo Software - Mobile Telephony Services Anonymous Company, University Of Surrey, Univerzitetni Rehabilitacijski Institut Republike Slovenije-Soca, Moticon, Fondazione Santa Lucia, Live
To ensure that Parkinson's disease patient retain their independence and continue to enjoy the best quality of life possible
By providing a set of unobtrusive, simple-in-use, co-operative, mobile devices used for symptoms monitoring and collection of adherence data
OUR PROVIDED SOLUTION
Supporting doctors in therapy and pharmaceutical treatment changes for people with Parkinson’s
The results of Dexi have been published in
a number of scientific publications
including
Informatica 37, 49-54, 2013
Marko Bohanec, Vladislav Rajkovič, Ivan Bratko, Blaž Zupan, Martin Žnidaršič
DEX is a qualitative multi-attribute decision modeling methodology that integrates multi-criteria decision modeling with rule-based expert systems. The method was conceived in 1979. Since, it has been continuously developed and implemented in a wide range of computer programs that have been applied in hundreds of practical decision-making studies. Here we present its main methodological concepts, contributions to the theory and practice of decision support, and outline a history of its development and evolution.
Sistemica, 1990, 1, 1, 145-157
Marko Bohanec, Vladislav Rajkovič
An approach to decision making that integrates multi-attribute decision techniques with expert systems is described. The approach is based on the explicit articulation of qualitative decision knowledge which is represented by a tree of attributes and decision rules. The decision making process is supported by a specialized expert system shell for interactive construction of the knowledge base, evaluation of options and explanation/analysis of the results. Practical use of the shell is illustrated by an application in the field of performance evaluation of enterprises.
International Journal of Medical Informatics
Volumes 58–59, 1 September 2000, Pages 191-205
Marko Bohanec, Blaž Zupana, Vladislav Rajkoviča
Hierarchical decision models are a general decision support methodology aimed at the classification or evaluation of options that occur in decision-making processes. They are also important for the analysis, simulation and explanation of options. Decision models are typically developed through the decomposition of complex decision problems into smaller and less complex subproblems; the result of such decomposition is a hierarchical structure that consists of attributes and utility functions. This article presents an approach to the development and application of qualitative hierarchical decision models that is based on DEX, an expert system shell for multi-attribute decision support. The distinguishing characteristics of DEX are the use of qualitative (symbolic) attributes, and ‘if-then’ decision rules. Also, DEX provides a number of methods for the analysis of models and options, such as selective explanation and what-if analysis. We demonstrate the applicability and flexibility of the approach presenting four real-life applications of DEX in health care: assessment of breast cancer risk, assessment of basic living activities in community nursing, risk assessment in diabetic foot care, and technical analysis of radiogram errors. In particular, we highlight and justify the importance of knowledge presentation and option analysis methods for practical decision-making. We further show that, using a recently developed data mining method called HINT, such hierarchical decision models can be discovered from retrospective patient data.
Soil Use and Management, Volume 35, Issue 1 p. 6-20
Francesca Bampa, Lilian O'Sullivan, Kirsten Madena, Taru Sandén, Heide Spiegel, Christian Bugge Henriksen, Bhim Bahadur Ghaley, Arwyn Jones, Jan Staes, Sylvain Sturel, Aneta Trajanov, Rachel E. Creamer, Marko Debeljak
Soil and its ecosystem functions play a societal role in securing sustainable food production while safeguarding natural resources. A functional land management framework has been proposed to optimize the agro-environmental outputs from the land and specifically the supply and demand of soil functions such as (a) primary productivity, (b) carbon sequestration, (c) water purification and regulation, (d) biodiversity and (e) nutrient cycling, for which soil knowledge is essential. From the outset, the LANDMARK multi-actor research project integrates harvested knowledge from local, national and European stakeholders to develop such guidelines, creating a sense of ownership, trust and reciprocity of the outcomes. About 470 stakeholders from five European countries participated in 32 structured workshops covering multiple land uses in six climatic zones. The harmonized results include stakeholders’ priorities and concerns, perceptions on soil quality and functions, implementation of tools, management techniques, indicators and monitoring, activities and policies, knowledge gaps and ideas. Multi-criteria decision analysis was used for data analysis. Two qualitative models were developed using Decision EXpert methodology to evaluate “knowledge” and “needs”. Soil quality perceptions differed across workshops, depending on the stakeholder level and regionally established terminologies. Stakeholders had good inherent knowledge about soil functioning, but several gaps were identified. In terms of critical requirements, stakeholders defined high technical, activity and policy needs in (a) financial incentives, (b) credible information on improving more sustainable management practices, (c) locally relevant advice, (d) farmers’ discussion groups, (e) training programmes, (f) funding for applied research and monitoring, and (g) strengthening soil science in education.
