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Erschienen in: Artificial Life and Robotics 1/2016

01.03.2016 | Original Article

Applying interpretive structure modeling on the interactive correlations on factor analysis in natural and cultural scenic area at Taiwan

verfasst von: Yee-Chaur Lee, Yan-Chyuan Shiau, Wei-Ling Hsu

Erschienen in: Artificial Life and Robotics | Ausgabe 1/2016

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Abstract

This article was conducted with an evaluation and feedback system to identify planning evaluation criteria for natural and cultural scenic areas of indigenous tribes at Taiwan. The purpose of this article was to identify the interdependencies among the environmental, economic, societal and cultural, political evaluation frameworks that a complicated eco landscape system would contain. To reduce the errors caused by personal preferences of expert group members, interpretive structure modeling (ISM) was applied for the correlations among the evaluation factors to identify the causes and effects, criteria and conditions for the problems raised by this article. A decision structure system for eco landscape planning was proposed through the application of ISM. The results of this article are presented with 12 evaluation factors, among which the factor of the culture of historical heritage (C2) is independent to the others while the remains interdepend to one another.

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Metadaten
Titel
Applying interpretive structure modeling on the interactive correlations on factor analysis in natural and cultural scenic area at Taiwan
verfasst von
Yee-Chaur Lee
Yan-Chyuan Shiau
Wei-Ling Hsu
Publikationsdatum
01.03.2016
Verlag
Springer Japan
Erschienen in
Artificial Life and Robotics / Ausgabe 1/2016
Print ISSN: 1433-5298
Elektronische ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-015-0245-6

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