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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/5016

Title: A fuzzy set based approach to generalized landscape theory of aggregation
Authors: SUGANUMA, Shigemasa
HUYNH, Van-Nam
NAKAMORI, Yoshiteru
WANG, Shouyang
Keywords: Landscape Theory
Aggregation
Alliance Analysis
Fuzzy Configuration
Genetic Algorithm
Issue Date: 2004-11
Publisher: Ohmsha, Ltd. and Springer
Magazine name: New Generation Computing
Volume: 23
Number: 1
Start page: 57
End page: 66
Abstract: In this paper, we propose a fuzzy-set-theoretic based extension to the landscape theory of aggregation introduced by Axelrod and Bennett in 1993. The significance of landscape theory is that it can provide a deeper understanding of a wide variety of important aggregation processes in politics, economics, and society. To illustrate efficiency of the proposal, we make a simulation with the proposed framework for the international alignment of the Second World War in Europe. It is shown that the obtained results are essentially comparable to those given by the original theory. Consequently, the fuzzy-set-theoretic based extension of landscape theory can allow us to analyse a wide variety of aggregation processes that have previously been considered in a more flexible manner.
Rights: This is the author-created version of Springer, Shigemasa SUGANUMA, Van-Nam HUYNH, Yoshiteru NAKAMORI, Shouyang WANG, New Generation Computing, 23(1), 2004, 57-66. The original publication is available at www.springerlink.com.
URI: http://hdl.handle.net/10119/5016
Material Type: author
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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