A new approach for the execution and adjustment of a fuzzy algorithm

نویسندگان

  • Juan Luis Castro
  • Miguel Delgado
  • Carlos Javier Mantas
چکیده

This paper presents a new methodology for executing and adjusting a fuzzy algorithm. It is based on a new concept of fuzzy formal language. The methodology consists of transforming the steps of a fuzzy algorithm into production rules of a fuzzy grammar, executing the algorithm according to the dynamics of this grammar and adjusting its execution using the learning capability of fuzzy formal languages. This methodology is applied for executing and adjusting a Turing machine with fuzzy states. c © 2001 Elsevier Science B.V. All rights reserved.

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عنوان ژورنال:
  • Fuzzy Sets and Systems

دوره 121  شماره 

صفحات  -

تاریخ انتشار 2001