A new approach to Lotka-Volterra model using fuzzy inference for symbiosis phenomena

Naohiro Kusumi, Kotaro Hirasawa, Takayuki Furuzuki, Masaaki Takesue

Research output: Contribution to journalArticle

Abstract

Recently, a number of studies have been done to investigate complicated systems such as economical, social, ecological and living systems. In addition to these, it is well known that complicated systems can be analyzed by the concept of symbiosis which is made up of competition, exploitation and coexistence and so on. The purpose of this paper is to propose a new modeling method for complicated systems by using the concept of symbiosis. A usefull modeling method is presented in order to improve the ability of representing the symbiosis phenomena using the technique of fuzzy inference.

Original languageEnglish
Pages (from-to)173-178
Number of pages6
JournalResearch Reports on Information Science and Electrical Engineering of Kyushu University
Volume3
Issue number2
Publication statusPublished - 1998
Externally publishedYes

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Fuzzy inference

Keywords

  • Competition
  • Fuzzy Inference
  • Lotka-Volterra model
  • Lyapunov Exponent
  • Symbiosis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Engineering (miscellaneous)

Cite this

A new approach to Lotka-Volterra model using fuzzy inference for symbiosis phenomena. / Kusumi, Naohiro; Hirasawa, Kotaro; Furuzuki, Takayuki; Takesue, Masaaki.

In: Research Reports on Information Science and Electrical Engineering of Kyushu University, Vol. 3, No. 2, 1998, p. 173-178.

Research output: Contribution to journalArticle

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