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Prioritizing dairy cattle dystocia risk factors using a comparative fuzzy multi-criteria decision-making algorithms
Javad Shirani Shamsabadi1, Saeid Ansari Mahyari2, Mostafa Ghaderi-Zefrehei3
1Department of Animal Science, College of Agriculture, Isfahan University of Technology, Isfahan, Iran.
Scientific Reports
|July 8, 2026
Summary
Dystocia in dairy cattle is significantly influenced by calf weight and dam body condition. Fuzzy Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (FDANP) and Fuzzy Analytic Hierarchy Process (FAHP) methods identified key risk factors for improved management.
Area of Science:
- Veterinary Science
- Animal Husbandry
- Decision Science
Background:
- Dystocia in dairy cattle poses significant threats to animal welfare and farm productivity.
- It leads to increased stillbirths, calf mortality, and reduced fertility in dairy herds.
- Effective management requires understanding and prioritizing multifactorial causes.
Purpose of the Study:
- To analyze and prioritize the multifactorial causes of dystocia in dairy cattle.
- To integrate expert judgments and address uncertainties using fuzzy logic.
- To introduce a novel comparative fuzzy multi-criteria decision-making (MCDM) framework for dystocia management.
Main Methods:
- Employed Fuzzy Decision-Making Trial and Evaluation Laboratory-Analytic Network Process (FDANP) and Fuzzy Analytic Hierarchy Process (FAHP) methodologies.
- Collected expert data via questionnaires to integrate breeder knowledge.
- Utilized fuzzy logic to manage inherent uncertainties and variabilities in expert opinions.
Main Results:
- FDANP identified calf weight, dam body condition score, and calving interval as most significant factors.
- FAHP highlighted milk period, calf weight, and gender status as important factors.
- Parity, calf sex, and multiple births were found to have the least impact by FDANP.
Conclusions:
- The study provides a novel, robust framework for understanding and managing dairy cattle dystocia.
- Integrating expert opinions with fuzzy MCDM enhances the analysis of complex production challenges.
- Findings support improved animal welfare and economic outcomes through targeted dystocia mitigation strategies.
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