Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology

  • Authors:

  • Jorge Casillas;Oscar Cordón;Francisco Herrera

  • Affiliations:

  • Dept. Computer Science and Artificial Intelligence, Computer Engineering School, University of Granada, E-18071 Granada, Spain;Dept. Computer Science and Artificial Intelligence, Computer Engineering School, University of Granada, E-18071 Granada, Spain;Dept. Computer Science and Artificial Intelligence, Computer Engineering School, University of Granada, E-18071 Granada, Spain

  • Venue:
  • Technologies for constructing intelligent systems
  • Year:
  • 2002

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Abstract

Nowadays, Linguistic Modeling is considered to be one of the most important areas of application for Fuzzy Logic. It is accomplished by linguistic Fuzzy Rule-Based Systems, whose most interesting feature is the interpolative reasoning developed. This characteristic plays a key role in their high performance and is a consequence of the cooperation among the involved fuzzy rules.A new approach that makes good use of this aspect inducing cooperation among rules is introduced in this chapter: the Cooperative Rules methodology. One of its interesting advantages is its flexibility allowing it to be used with different combinatorial search techniques. Thus, four specific metaheuristics are considered: simulated annealing, tabu search, genetic algorithms and ant colony optimization. Their good performance is shown when solving a real-world problem.