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

Naohiro Kusumi; Kotaro Hirasawa; H. U. Jinglu; Masaaki Takesue

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

Naohiro Kusumi, Kotaro Hirasawa, H. U. Jinglu, Masaaki Takesue

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	173-178
Number of pages	6
Journal	Research Reports on Information Science and Electrical Engineering of Kyushu University
Volume	3
Issue number	2
Publication status	Published - 1998 Sept
Externally published	Yes

Keywords

Competition
Fuzzy Inference
Lotka-Volterra model
Lyapunov Exponent
Symbiosis

ASJC Scopus subject areas

Computer Science(all)
Electrical and Electronic Engineering

Cite this

@article{5053903043df4649b838cabc0e1b0a02,

title = "A new approach to Lotka-Volterra model using fuzzy inference for symbiosis phenomena",

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.",

keywords = "Competition, Fuzzy Inference, Lotka-Volterra model, Lyapunov Exponent, Symbiosis",

author = "Naohiro Kusumi and Kotaro Hirasawa and Jinglu, {H. U.} and Masaaki Takesue",

year = "1998",

month = sep,

language = "English",

volume = "3",

pages = "173--178",

journal = "Research Reports on Information Science and Electrical Engineering of Kyushu University",

issn = "1342-3819",

publisher = "Kyushu University, Faculty of Science",

number = "2",

}

TY - JOUR

T1 - A new approach to Lotka-Volterra model using fuzzy inference for symbiosis phenomena

AU - Kusumi, Naohiro

AU - Hirasawa, Kotaro

AU - Jinglu, H. U.

AU - Takesue, Masaaki

PY - 1998/9

Y1 - 1998/9

N2 - 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.

AB - 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.

KW - Competition

KW - Fuzzy Inference

KW - Lotka-Volterra model

KW - Lyapunov Exponent

KW - Symbiosis

UR - http://www.scopus.com/inward/record.url?scp=0032154163&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032154163&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0032154163

SN - 1342-3819

VL - 3

SP - 173

EP - 178

JO - Research Reports on Information Science and Electrical Engineering of Kyushu University

JF - Research Reports on Information Science and Electrical Engineering of Kyushu University

IS - 2

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this