Similarity analysis study of the carbon emission metrics through fuzzy entropy clustering

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50021483" target="_blank" >RIV/62690094:18450/24:50021483 - isvavai.cz</a>

Result on the web

<a href="https://systems.enpress-publisher.com/index.php/jipd/article/view/3926" target="_blank" >https://systems.enpress-publisher.com/index.php/jipd/article/view/3926</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24294/jipd.v8i5.3926" target="_blank" >10.24294/jipd.v8i5.3926</a>

Result language

angličtina

Original language name

Similarity analysis study of the carbon emission metrics through fuzzy entropy clustering

Original language description

The world has changed to a massive degree in the past thousands of years. Most of the time, the amount of carbon dioxide in the atmosphere remains constant. In the late 18th century, according to the sources of CDIAC and NOOA, the level of carbon dioxide began to rise, and then in the 20th century, it went through the roof, reaching levels that had not been seen in nature for millions of years. The increase in carbon in the atmosphere is the major contributing factor to climate change. The key to reversing the damage is restoring the earth’s delicate, balanced carbon cycle. As carbon cycle depicts the way carbon moves around the earth. It consists of sources that emit the carbon component into the atmosphere. The biological side of the carbon cycle is well balanced due to respiration, where carbon dioxide is released into the atmosphere, then plants, bacteria, and algae take carbon dioxide out of the atmosphere during photosynthesis and the process they use to generate chemical energy. On the other hand, oceans are the best sources and sinks; carbon dioxide is endlessly being absorbed into the ocean and released from the oceans almost exactly at the same rate, which is rapidly influencing the carbon cycle. Similarity is a methodology that has many applications in the real world. The current research article is destined to study how statistics of carbon emission metrics are alike and belong to one cluster. In the current study, the research is destined to derive a similarity analysis of several countries’ carbon emission metrics that are alike and often fall in the range of [0, 1]. And deriving the proximity of the carbon emission metrics leading to similarity or dissimilarity. In the current context of data matrices of numerical data, an Euclidian measure of distance between two data elements will yield a degree of similarity. The current research article is destined to study the similarity analysis of carbon emission metrics through fuzzy entropy clustering. © 2024 by author(s).

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

50902 - Social sciences, interdisciplinary

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Infrastructure, Policy and Development

ISSN

2572-7923

e-ISSN

2572-7931

Volume of the periodical

8

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

12

Pages from-to

"Article number: 3926"

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85192993014