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Published: Dec 1, 2024

Keywords:

Neutrosophic Cognitive Map, evaluation of evidence, dealing with crimes, violations, urban fauna

Daniel Adriano Gavilanes Lascano

Autonomous Regional University of Los Andes, Ambato, Ecuador

Luis Roberto Sailema Sailema

Autonomous Regional University of Los Andes, Ambato, Ecuador

Andrea Katherine Bucaram Caicedo

Autonomous Regional University of Los Andes, Ambato, Ecuador

Santiago Fernando Fiallos Bonilla

Autonomous Regional University of Los Andes, Ambato, Ecuador

Abstract

The research addresses the importance of care and caution in the treatment of urban fauna, highlighting how evidence can be used by lawyers in cases affecting effective protection. The main objective is to develop a method, through a Neutrosophic Cognitive Map, to evaluate these evidence in relation to crimes and violations related to urban fauna. This article focuses on demonstrating the effectiveness of these means to ensure the protection of animal rights. It is also proposed to include this problem in the Comprehensive Criminal Code, classifying as rights of urban fauna those punishable conducts that affect these living beings, in order to reduce mistreatment and violence towards them, as well as guarantee their protection.

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Neutrosophic Cognitive Map for the evaluation of evidentiary means to deal with crimes and contraventions in urban fauna . (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 35, 281-289. https://fs.unm.edu/NCML2/index.php/112/article/view/639

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Vol. 35 (2024): NEUTROSOPHIC COMPUTING AND MACHINE LEARNING{SPECIAL ISSUE: 70 YEARS OF FLORENTIN SMARANDACHE AND 30 YEARS OF NEUTROSOPHIC THEORY: LEGACY AND IMPACT ON LATIN AMERICAN THOUGHT}, VOL. 35, 2024

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Neutrosophic Cognitive Map for the evaluation of evidentiary means to deal with crimes and contraventions in urban fauna . (2024). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 35, 281-289. https://fs.unm.edu/NCML2/index.php/112/article/view/639

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