Fuzzy C-Means Clustering as a Discourse Analysis Method (Case Study: Institutional Interactions of Science and Technology Policy in Iran)

Fuzzy C-Means Clustering as a Discourse Analysis Method (Case Study: Institutional Interactions of Science and Technology Policy in Iran)

In this paper, an attempt has been made to develop a qualitative method of discourse analysis in a mixed (qualitative-quantitative) method by using the quantitative method of fuzzy c-means clustering. For this purpose, the institutional interactions of science and technology policy in Iran have been...

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Bibliographic Details
Main Authors:	esmaeel kalantari, gholamali montazer, Sepehr Ghazinoory
Format:	Article
Language:	fas
Published:	پژوهشگاه حوزه و دانشگاه 2021-06-01
Series:	روش شناسی علوم انسانی
Subjects:	fuzzy c-means clustering discourse analysis methodology institutional interactions science and technology policy iran
Online Access:	https://method.rihu.ac.ir/article_1821_85ea7688f3bf4bf9e50e0a4554afcbcf.pdf

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