Application of Interval Neutrosophic Logic Model for Diagnosis  of Cattle Disease

Lola Safarova; Dilnoz Muhamediyeva; Sokhibjan Muminov; Seyyed Ahmad Edalatpanah

Authors

Lola Safarova Samarkand State University of Veterinary Medicine, Livestock and Biotechnologies, Samarkand, Uzbekistan;
Dilnoz Muhamediyeva Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, Uzbekistan;
Sokhibjan Muminov Mamun University, Khiva, Uzbekistan;
Seyyed Ahmad Edalatpanah Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.

Keywords:

osteodystrophy, secondary osteodystrophy, ketosis, hypomicroselementosis, decision making, expert systems, fuzzy sets, neutrosophic, interval neutrosophic.

Abstract

In this paper, we propose a method of interval neutrosophic logic for solving the urgent
problem of diagnosing cattle diseases under conditions of data uncertainty. Based on the theory of
interval neutrosophic sets, an algorithm has been developed that takes into account the degree of
likelihood, falsity, and uncertainty, which ensures more accurate modeling and analysis. The main
result of the study is the construction of an interval neutrosophic Sugeno model designed to
diagnose cattle diseases such as osteodystrophy, ketosis, and hypomicroelementosis. The model
demonstrates high efficiency: the diagnostic accuracy reached 92%, which exceeds the results of
other methods, including classical Sugeno models and statistical approaches. A comparative
analysis of the developed model with alternative methods was carried out, confirming its
advantages under conditions of uncertainty and data heterogeneity. The proposed method has the
potential for application in veterinary practice, especially in conditions of limited resources, where
high diagnostic accuracy and reliability are required.

DOI: 10.5281/zenodo.15171355