Neutrosophic multicriteria method to evaluate the impact of Feline Viral Leukemia on whisker morphology and functionality in domestic cats

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Pamela Alejandra Paredes Carvajal
Jaine Labrada Ching
Hipatia Carolina Valencia Villalba

Abstract

Feline viral leukemia (FeLV) is one of the most common infectious diseases affecting companion cats, causing a significant impact on their overall health and well-being. Its high prevalence and diversity of clinical symptoms have fostered growing interest in investigating external signs that facilitate early diagnosis and improve understanding of its pathophysiology. In clinical practice, FeLV-positive cats have been observed to have wavy whiskers or whiskers with structural changes, which could be a characteristic indicator of the disease. The findings suggest that wavy or altered whisker patterns in cats with FeLV may be associated with systemic dysfunction, impacting hair follicle quality due to immune system involvement. This discovery highlights the importance of considering morphological variations in whiskers as possible clinical indicators, contributing to optimizing the diagnosis and veterinary management of infected cats. In this context, the objective of this research is to implement a neutrosophic multicriteria method to assess the impact of Feline Viral Leukemia on whisker morphology and function in domestic cats, thus providing an innovative tool that allows veterinarians to improve the detection and treatment of this disease through evident changes in the external appearance of affected cats.

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Neutrosophic multicriteria method to evaluate the impact of Feline Viral Leukemia on whisker morphology and functionality in domestic cats. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 38, 429-438. http://fs.unm.edu/NCML2/index.php/112/article/view/828
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How to Cite

Neutrosophic multicriteria method to evaluate the impact of Feline Viral Leukemia on whisker morphology and functionality in domestic cats. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 38, 429-438. http://fs.unm.edu/NCML2/index.php/112/article/view/828