Development of If-Then Rules with the Use of DNA Coding

Takeshi Furuhashi
Additional contact information
Takeshi Furuhashi: Nagoya University, Department of Micro System Engineering

Chapter 2.2 in Fuzzy Evolutionary Computation, 1997, pp 107-125 from Springer

Abstract: Abstract Fuzzy logic has been widely used in industry. Knowledge acquisition has been one of the most important problems of fuzzy logic. Experts often have difficulties in describe their know hows. Acquisition of fuzzy if-then rules from experts’ operating data by neural networks and fuzzy neural networks have been vigorously studied. In case those operators are not available, knowledge acquisition is not possible. A new technology to discover knowledge is required. Genetic algorithms (GAs) [1, 2] have been widely studied and applied to many problems.

Keywords: Membership Function; Fuzzy Logic; Mobile Robot; Fuzzy Rule; Fuzzy Control (search for similar items in EconPapers)
Date: 1997
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-6135-4_5

Ordering information: This item can be ordered from
http://www.springer.com/9781461561354

DOI: 10.1007/978-1-4615-6135-4_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().