José Luis Verdegay

José Luis Verdegay is a Full Professor at DECSAI, the Department of Computer Science and Artificial Intelligence of University of Granada, Spain, and Director of the Models of Decision and Optimization (MODO) Working Group. He holds an M.S. degree in mathematics, in 1975, and a Ph.D. degree in sciences from the University of Granada, in 1981. He has published 8 books, more than 225 scientific and technical papers in leading scientific journals, and has been advisor of 13 Ph.D. dissertations. He has served and serves in a large number of International Program Committees and has attended numerous national and international conferences, congress, and Workshops. He has been, and is, Principal Researcher in a variety of national and international research and educational projects. In particular, he is currently involved and leading a research project on Cooperative Metaheuristics and Soft Computing. Professor Verdegay has a long experience in the evaluation of the quality of academic institutions. He has been member and president of a number of committees with the European Training Foundation and the Spanish Ministry of Education. He also serves as member of the Editorial Board of several international leading journals. Along the last years, besides his academic activity, Professor Verdegay has been Chairman of DECSAI, 1990–1994, President of the Spanish Association for Fuzzy Logic and Technologies, FLAT, 1990–1996, Advisor for Intelligent Technologies of the Spanish Science Interministry Commission, 1995-1996, and Director of International Affairs of University of Granada, 1996–2000. His current scientific interests are on soft computing, fuzzy sets and systems, decision support systems, metaheuristic algorithms, nature-inspired systems and bioinformatic.

Biography Updated on 10 February 2008

Personal Home Page

http://decsai.ugr.es/~verdegay/

Articles in Scholarly Journals [Incomplete List]

  1. The shortest path problem on networks with fuzzy parameters
    Fuzzy Sets and Systems, vol. 158, no. 14, pp. 1561–1570, 2007
  2. Multi-objective evolutionary computation and fuzzy optimization
    International Journal of Approximate Reasoning, vol. 43, no. 1, pp. 59–75, 2006
  3. Using memory and fuzzy rules in a co-operative multi-thread strategy for optimization
    Information Sciences, vol. 176, no. 13, pp. 1849–1868, 2006
  4. Fuzzy coherence measures
    International Journal of Intelligent Systems, vol. 20, no. 1, pp. 1–11, 2005
  5. Drying process of tobacco leaves by using a fuzzy controller
    Fuzzy Sets and Systems, vol. 150, no. 3, pp. 493–506, 2005
  6. A fuzzy sets based generalization of contact maps for the overlap of protein structures
    Fuzzy Sets and Systems, vol. 152, no. 1, pp. 103–123, 2005
  7. Fuzzy location problems on networks
    Fuzzy Sets and Systems, vol. 142, no. 3, pp. 393–405, 2004
  8. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 12, no. 2, p. 129, 2004
  9. Application of fuzzy optimization to diet problems in Argentinean farms
    European Journal of Operational Research, vol. 158, no. 1, pp. 218–228, 2004
  10. Solving fuzzy optimization problems by evolutionary algorithms
    Information Sciences, vol. 152, pp. 303–311, 2003
  11. Applying a fuzzy sets-based heuristic to the protein structure prediction problem
    International Journal of Intelligent Systems, vol. 17, no. 7, pp. 629–643, 2002
  12. Fuzzy Sets in Decision Analysis, Operations Research and Statistics R. Slowinski (Ed.), in The Handbooks of Fuzzy Sets Series, Kluwer Academic Publishers, Boston/London/Dordrecht, 480 pp., ISBN 0-7923-8112-2
    Fuzzy Sets and Systems, vol. 123, no. 3, pp. 407–409, 2001
  13. Using ranking functions in multiobjective fuzzy linear programming
    Fuzzy Sets and Systems, vol. 111, no. 1, pp. 47–53, 2000
  14. Solving fuzzy solid transportation problems by an evolutionary algorithm based parametric approach
    European Journal of Operational Research, vol. 117, no. 3, pp. 485–510, 1999
  15. Methods for the Construction of Membership Functions
    International Journal of Intelligent Systems, vol. 14, no. 12, pp. 1213–1230, 1999
  16. Choice processes for non-homogeneous group decision making in linguistic setting
    Fuzzy Sets and Systems, vol. 94, no. 3, pp. 287–308, 1998
  17. A learning process for fuzzy control rules using genetic algorithms
    Fuzzy Sets and Systems, vol. 100, no. 1-3, pp. 143–158, 1998
  18. Uncertain solid transportation problems
    Fuzzy Sets and Systems, vol. 100, no. 1-3, pp. 45–57, 1998
  19. Artificial Intelligence Review, vol. 12, no. 4, pp. 265–319, 1998
  20. Using fuzzy numbers in linear programming
    IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol. 27, no. 6, pp. 1016–1022, 1997
  21. Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making
    International Journal of Approximate Reasoning, vol. 16, no. 3-4, pp. 309–334, 1997
  22. Fuzzy sets and operations research: Perspectives
    Fuzzy Sets and Systems, vol. 90, no. 2, pp. 207–218, 1997
  23. A rational consensus model in group decision making using linguistic assessments
    Fuzzy Sets and Systems, vol. 88, no. 1, pp. 31–49, 1997
  24. Fuzzy connectives based crossover operators to model genetic algorithms population diversity
    Fuzzy Sets and Systems, vol. 92, no. 1, pp. 21–30, 1997
  25. A model of consensus in group decision making under linguistic assessments
    Fuzzy Sets and Systems, vol. 78, no. 1, pp. 73–87, 1996
  26. Direct approach processes in group decision making using linguistic OWA operators
    Fuzzy Sets and Systems, vol. 79, no. 2, pp. 175–190, 1996
  27. Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms
    International Journal of Intelligent Systems, vol. 11, no. 12, pp. 1013–1040, 1996
  28. Fuzzy boolean programming problems with fuzzy costs: A general study
    Fuzzy Sets and Systems, vol. 81, no. 1, pp. 57–76, 1996
  29. A sequential selection process in group decision making with a linguistic assessment approach
    Information Sciences, vol. 85, no. 4, pp. 223–239, 1995
  30. Fuzzy optimal flow on imprecise structures
    European Journal of Operational Research, vol. 83, no. 3, pp. 568–580, 1995
  31. Three models of fuzzy integer linear programming
    European Journal of Operational Research, vol. 83, no. 3, pp. 581–593, 1995
  32. A decision personal index of fuzzy numbers based on neural networks
    Fuzzy Sets and Systems, vol. 73, no. 2, pp. 185–199, 1995
  33. Automatic ranking of fuzzy numbers with the criterion of a decision-maker learnt by an artificial neural network
    Fuzzy Sets and Systems, vol. 64, no. 1, pp. 1–19, 1994
  34. Knowledge-based systems and fuzzy boolean programming
    International Journal of Intelligent Systems, vol. 9, no. 2, pp. 211–225, 1994
  35. A model for linguistic partial information in decision-making problems
    International Journal of Intelligent Systems, vol. 9, no. 4, pp. 365–378, 1994
  36. On aggregation operations of linguistic labels
    International Journal of Intelligent Systems, vol. 8, no. 3, pp. 351–370, 1993
  37. On the sensitivity of membership functions for fuzzy linear programming problems
    Fuzzy Sets and Systems, vol. 56, no. 1, pp. 47–49, 1993
  38. Boolean programming problems with fuzzy constraints
    Fuzzy Sets and Systems, vol. 55, no. 3, pp. 285–293, 1993
  39. Ranking fuzzy interval numbers in the setting of random sets
    Information Sciences, vol. 69, no. 3, pp. 201–217, 1993
  40. Linguistic decision-making models
    International Journal of Intelligent Systems, vol. 7, no. 5, pp. 479–492, 1992
  41. On fuzzy tree definition
    European Journal of Operational Research, vol. 22, no. 2, pp. 243–249, 1985
  42. A dual approach to solve the fuzzy linear programming problem
    Fuzzy Sets and Systems, vol. 14, no. 2, pp. 131–141, 1984