Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge
This work presents the synthetical mathematical analysis of available knowledge regarding physical phenomena of research interest. The work is not focusing on providing the phenomena according to the physical laws but rather because of them, hence, it is grounded on the philosophically defined conce...
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Format: | Article |
Language: | English |
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Mahmut Akyigit
2020-08-01
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Series: | Journal of Mathematical Sciences and Modelling |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/download/article-file/1266241 |
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author | Antonios Kanavouras Frank Coutelieris |
author_facet | Antonios Kanavouras Frank Coutelieris |
author_sort | Antonios Kanavouras |
collection | DOAJ |
description | This work presents the synthetical mathematical analysis of available knowledge regarding physical phenomena of research interest. The work is not focusing on providing the phenomena according to the physical laws but rather because of them, hence, it is grounded on the philosophically defined concept of "similarity", and progresses to the mathematical treatments of those factors and parameters that are involved into the similarity validation among physical phenomena.A critical validation regarding the effectiveness of such an approach was also performed, in order to conceptualize the relevance of the factors and parameters interactions as a potential control tool against engineering-based hypothesis. Such factors and parameters are generated through the description and delimitation of the system of interest. A "matrix" is used for the classification of the existing knowledge regarding this system. It is consisted of the categorical descriptors of the system in question and the levels of these descriptors.A mathematical analysis of this "matrix" supports that all the existent perceptions of a physical phenomenon constitute a four-dimensional vector space. Within this space, the concept of similarity allows for the definition on which of a specific non-linear mapping that might be applied to strictly classify the existing knowledge about the phenomenon in question.Similarity is used here to define the conditions and the constrains that this mapping must satisfy. In conclusion, the applicability of the suggested approach on an engineering approach regarding a physical problem, was also demonstrated in this study. |
first_indexed | 2024-03-08T12:50:40Z |
format | Article |
id | doaj.art-c5a83338631f45ecbe9cbb89d1949625 |
institution | Directory Open Access Journal |
issn | 2636-8692 |
language | English |
last_indexed | 2024-03-08T12:50:40Z |
publishDate | 2020-08-01 |
publisher | Mahmut Akyigit |
record_format | Article |
series | Journal of Mathematical Sciences and Modelling |
spelling | doaj.art-c5a83338631f45ecbe9cbb89d19496252024-01-20T09:41:48ZengMahmut AkyigitJournal of Mathematical Sciences and Modelling2636-86922020-08-0132475410.33187/jmsm.6918461408Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing KnowledgeAntonios Kanavouras0Frank Coutelieris1Agricultural University of AthensUniversity of PatrasThis work presents the synthetical mathematical analysis of available knowledge regarding physical phenomena of research interest. The work is not focusing on providing the phenomena according to the physical laws but rather because of them, hence, it is grounded on the philosophically defined concept of "similarity", and progresses to the mathematical treatments of those factors and parameters that are involved into the similarity validation among physical phenomena.A critical validation regarding the effectiveness of such an approach was also performed, in order to conceptualize the relevance of the factors and parameters interactions as a potential control tool against engineering-based hypothesis. Such factors and parameters are generated through the description and delimitation of the system of interest. A "matrix" is used for the classification of the existing knowledge regarding this system. It is consisted of the categorical descriptors of the system in question and the levels of these descriptors.A mathematical analysis of this "matrix" supports that all the existent perceptions of a physical phenomenon constitute a four-dimensional vector space. Within this space, the concept of similarity allows for the definition on which of a specific non-linear mapping that might be applied to strictly classify the existing knowledge about the phenomenon in question.Similarity is used here to define the conditions and the constrains that this mapping must satisfy. In conclusion, the applicability of the suggested approach on an engineering approach regarding a physical problem, was also demonstrated in this study.https://dergipark.org.tr/tr/download/article-file/1266241similarityclassification matrixphysical phenomenalinear algebraengineering assets |
spellingShingle | Antonios Kanavouras Frank Coutelieris Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge Journal of Mathematical Sciences and Modelling similarity classification matrix physical phenomena linear algebra engineering assets |
title | Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge |
title_full | Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge |
title_fullStr | Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge |
title_full_unstemmed | Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge |
title_short | Similarity Among Physical Phenomena Recognized on the Basis of the Classification of Existing Knowledge |
title_sort | similarity among physical phenomena recognized on the basis of the classification of existing knowledge |
topic | similarity classification matrix physical phenomena linear algebra engineering assets |
url | https://dergipark.org.tr/tr/download/article-file/1266241 |
work_keys_str_mv | AT antonioskanavouras similarityamongphysicalphenomenarecognizedonthebasisoftheclassificationofexistingknowledge AT frankcoutelieris similarityamongphysicalphenomenarecognizedonthebasisoftheclassificationofexistingknowledge |