Objective
This project is a multi-disciplinary effort to integrate two complementary fields of Computer Science, namely fuzzy regression analysis and constraint-based reasoning, in order to develop decision support systems for optimization problems permeated with measurement uncertainty.
Data uncertainty due to imprecise or incomplete measurements is ubiquitous in many real world applications. Recently, models derived from fuzzy regression analysis have been defined to represent incomplete and imprecise measurements. They are mostly used in complex systems analysis seeking a correlation between crisp or fuzzy measurements.
The Constraint Programming (CP) paradigm has proved successful to tackle decision and optimization problems in planning and resource optimization. Interestingly, it handles some forms of uncertainty, but has not, to our knowledge, been enhanced to deal with fuzzy regression models. Our objectives are threefold: 1) to study the theoretical aspect of integrating two complementary paradigms, 2) to design and implement an interval regression constraint system, and apply it to a case study in the field of Renewable Energies (RE) techno-economics. The decision support prototype will tackle the problem of RE portfolio optimization for short and longer term, 3) to disseminate our results at the EU and International levels.
The objectives will be achieved by combining the host expertise in fuzzy regression models, and the applicant’s expertise in CP languages and optimization techniques, and her more recent works in RE techno-economics problems in Egypt. A set of three activities matching the objectives will be carried out divided into survey, design and implementation work packages and clear milestones. This project is relevant to CIG Work Programme for 3 main reasons: 1) it is a multi-disciplinary project, 2) expertise will be transferred and acquired, 3) dissemination and re-integration will enhance EU research excellence already strong in these domains.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology environmental engineering energy and fuels renewable energy
- natural sciences computer and information sciences
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2012-CIG
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MC-CIG - Support for training and career development of researcher (CIG)
Coordinator
73011 Chambery
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.