Selection of Cold Storage by SWARA Based Fuzzy COPRAS Method

Autor: Ali Katranci, Nilsen Kundakci
Přispěvatelé: Uşak Üniversitesi
Jazyk: turečtina
Rok vydání: 2020
Předmět:
Popis: Fruits and vegetables, which are extremely important for people to be nourished in a balanced and healthy manner need to be stored in a good way in order to be consumed even outside their harvesting periods. Cold storage depots play a significant role in terms of preserving their initial freshness throughout the year by preventing the deterioration of the fruits and vegetables after the harvest. In this study, different cold storage depot alternatives for all kind of fruits and vegetables, located in Civril district in the city of Denizli, have been evaluated by using two Muti-Criteria Decision Making (MCDM) methods which are SWARA and fuzzy COPRAS methods. After the weights of the criteria have been determined with SWARA method, the alternatives have been ranked using the fuzzy COPRAS method. At the end of the study, the most suitable cold storage has been determined for the farmers.
Databáze: OpenAIRE