Research projects

FINISHED PROJECTS:

• "Applications of Fuzzy Logic to Optimization Problems" DGICYT PS 88-90. A general model for Fuzzy Linear Programming problems was studied and developed, which was then introduced into an Intelligent System for Solving problems of this nature.
• "ORBE: Experimental Fuzzy Computer" Ministry for Industry Phase I: PEIN II 947/90. Phase II: Ministry for Industry and Energy: MINER G/28826055. An architecture was developed for subsequent implementation of a fuzzy processor for applications in the field of control.
• "DRUMS: Defeasible reasoning and uncertainty management systems" EEC ESPRIT Programme. Basically, work was carried out on the study of mechanisms for processing and representing uncertainty in intelligent systems.
• "STATLOG: Comparative testing and evaluation of statistical and logical learning on large-scale applications for classification, prediction and control" the EEC ESPRIT programme. Different learning algorithms were compared using different problems with great complexity.
• "Neural networks and Fuzzy Logic" DGICYT PB89-0463. This project studied the advantages offered by combining fuzzy techniques in the development and applications of neural networks.
• "An imprecise data base for processing medical data" CYCIT TIC 690/90. Different mechanisms were proposed for processing with imprecise terms in a data base.
• "Design and implementation of an imprecise data base for processing hospital data" CYCIT TIC-92-0844. Continuation of the previous project, in this one tools were proposed and implemented for processing imprecise data in the context of a hospital, and in particular, a fuzzy data base management system was implemented.
• "Identifying Systems Using Inductive Learning Techniques" CYCIT TIC92-0665. In this project, SLAVE was developed, which is an inductive learning system, it is capable of learning imprecise rules that allow systems to be identified.
• "Applications of Fuzzy Logic with Genetic algorithms" DGICYT P392-0933. In this project, the use of fuzzy tools was studied in terms of improving the behaviour genetic algorithms and their application for tuning and generating fuzzy rule bases.
• "Fuzzy neural network models and their applications" DGICYT P92-0945. This is a project continuing the work of "Neural networks and Fuzzy Logic". Fuzzy neural network models have been developed (basically max-min type ones), and techniques have been proposed for processing fuzzy information in classic neural network models.
• Cooperation network ERCIM group in Databases and Information Systems. Programme of Human Capital and Mobility in the EEC. This involved a network aimed at the exchange of experiences and studies between different European groups studying advanced data base models, mainly deductive data bases and distributed data bases.

• "CARMENES: Integrated System for Computerized Hospital Databases" (private financing from DATA GENERAL S.A.)"
  • Main Researcher: Miguel Prados
  • Period: 23rd December, 1993 to 23rd December, 1996
  • Brief description: Development and implementation of a hospital data systems covering the administrative, logistics-care and departmental areas, achieving the complete computerization of clinical records.
• Network of Excellence in Evolutionary Computing (EvoNet). European Commission, DG III. Esprit Programme. Ref. 20996
  • Coordinator: Francisco Herrera
  • Period: 1st March, 1995 to March 1st, 1996
  • Brief description: It is a network that allows for the coordination of the groups that work on evolutionary computing in Europe
• "Design and implementation of a deductive data base model. Applications for medical data processing" CYCIT TIC 94-1347
  • Head Researcher: Amparo Vila
  • Period: 8th June, 1995 to June 8th, 1997
  • Brief description: It is intended that the previous line of research be continued by providing the system already developed with deductive capabilities using fuzzy rules, for this purpose, the following is being developed: a theoretical deductive fuzzy data base model and a joint architecture that compiles the previous results and the fuzzy data base management system that has already been implemented. Presently this architecture is being implemented within the philosophy of a client/server.
• "Learning in imprecise and uncertain environments. Applications", CYCIT TIC95-0453
  • Head Researcher: Antonio Gonzalez
  • Period: 1st July, 1995 to July 1st, 1998
  • Brief description: In this work, we approach the objective of researching into learning algorithms that may work in uncertain, imprecise and incomplete environments. The basic application in on sequential processing control problems.
• European Network in Uncertainty Technique Developments for Use in Information Technology (ERUDIT). European Commission, DG III. Esprit Programme.
  • Coordinator: J.L. Verdegay
  • Period: 1st October, 1995 to October 1st, 1998
  • Brief description: This network of excellence involves keeping all the European teams and centres in active contact with one another, involving those in the field of Information Technology, who use Intelligent Technologies.
• Marketing Information Support Systems. Leonardo da Vinci Project (I/95/2/2775/PL/II.1.2.a)/FPI.
  • Coordinator: J.L. Verdegay
  • Period: 12th January, 1996 to January 12th, 1999
  • Brief description: This involves a project for carrying short visits and courses at the institutions that make up the corresponding network. The project is carried out on two levels, with both gradate level students and young Doctors participating.
• Project SEDI: Fuzzy Segmentation of Customers in Banking Institutions. (private financing from CAJA ASTURIAS (Savings Bank))
  • Head Researcher: Ignacio Requena
  • Period: 1st March, 1996 to March 1st, 1997
  • Brief description: This involves applying neural networks and fuzzy techniques to achieve suitable segmentation of the customers of the institution financing the project, the "Caja Asturias". This segmentation or classification is going to be fuzzy.
• "Systems Learning based on Fuzzy Rules using Genetic Algorithms and Neural Networks. Applications" TIC96-0778
  • Head Researcher: Francisco Herrera
  • Period: 1st July, 1996 to July 1st, 1999
  • Brief description: El project's objective is the design and implementation of automatic learning systems for fuzzy rules based on examples, which will permit the automatic design of fuzzy systems for problems in which the information is partially given by linguistic rule and examples or totally using examples. For this purpose, we shall concentrate on the use of Genetic Algorithms and Neural Networks as tools.
• ORBE
  • Head Researcher: Miguel Delgado
  • Period: 1st July, 1996 to July 1st, 1999
  • Brief description: This involves a coordinated project for developing a high performance fuzzy processor. The team from Granada is developing control software and user interfaces.
• GENESYS: Fuzzy controllers and smart tuning techniques for energy efficiency and overall performance of HVAC systems in buildings (http://genesys.entpe.fr/)
  • Head Researcher: Antonio Gonzalez
  • Entidad financiadora: European Commission, Joule Programme PPC 97 0192
  • Period: Octubre 1998 hasta Septiembre 2000
  • Number of researchers: 8
• European network of excellence in AI planning (http://www.dfki.de/services/planet/)
  • Head Researcher: Antonio Gonz\'alez (del nodo de Granada)
  • Entidad financiadora: European Commission
  • Period: Octubre 1998 hasta Octubre 2000
  • Number of researchers: research group.

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