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USE OF AHP AND MOORA FOR CATTLE BREEDING: KARESI DISTRICT OF BALIKESIR PROVINCE APPLICATION
2020
Journal:  
Mugla Journal of Science and Technology
Author:  
Abstract:

The enterprises within the cattle sector, which holds an important place in the development of agriculture and animal husbandry sector, have to make decisions about their production frequently. These farm animals are categorized into three categories: dairy, meat and combined (meat and dairy). In line with these characteristics, business owners make production with their chosen animals. Enterprises face problems as a result of irregularities in the market, supply and demand imbalance, insufficient research by the investors and breeding of farmers towards breeds that are not suitable for their purposes. In this study, it was aimed to determine which breed would be appropriate for the breeding enterprises. This study was carried out in Balıkesir Province due to its high production potential in terms of agriculture and animal husbandry. Karesi District, which has an important share in production in Balıkesir Province, has been considered as the application area. In the study, between 50-100 and over 100 bovine farms are considered. In this study, important criteria were determined for enterprises and comparison of these criteria was provided. A hierarchical system was used to compare the criterias “Vital Characteristics”, “Milk Yield Characteristics” and “Meat Yield Characteristics”, according to the opinions of business owners or managers, and to select the most suitable alternative. According to the established decision model; Analytic Hierarchy Process (AHP) method was used in order to determine the criteria priorities and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method was used to sort the alternatives.

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2020
Author:  
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Mugla Journal of Science and Technology

Field :   Fen Bilimleri ve Matematik; Mühendislik

Journal Type :   Ulusal

Metrics
Article : 301
Cite : 174
2023 Impact : 0.05
Mugla Journal of Science and Technology