Aegean Region fruit production assignment using Fuzzy Logic and ARAS methods

Hasan Akyer

Makale detayları

Aegean Region fruit production assignment using Fuzzy Logic and ARAS methods

Yazarlar:

Hasan Akyer

Yayıncı:

Pamukkale University

Ana Başlıklar:

Karar Desteği ve Grup Destek Sistemleri

Dergi:

Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Vol.29 Issue 8, pp.797-809

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001308552

pISSN:

2147-5881

Anahtar kelimeler:

Özet:

 Turkeys Aegean region is a very suitable region for fruit production in terms of climatic conditions and soil characteristics. Fruit and vegetable production in the Aegean region has an important position in terms of Turkeys agricultural economy. The fruit growing sector has a very important place in Turkeys agricultural economy. The aim of the study is to prevent unbalanced fruit production in the Aegean region and to ensure more efficient fruit growing. In the study, it was aimed to assign a balanced production of fruits grown under different conditions in provinces with different characteristics in the Aegean region. For the assignment problem, the conditions of the cities in the Aegean region and the growing conditions of the fruits are considered together. These conditions are altitude, temperature, soil quality, climate, humidity, labor and irrigation. Conditions for fruit production were analyzed with the AHP method and factor weights were calculated. ARAS and Fuzzy Logic methods were used to solve the assignment problem of fruits. These methods enable to reach the result by digitizing the noncomputable features of a particular situation. Aydın, Manisa, Denizli and Afyonkarahisar provinces have been proposed, respectively, for the production of figs, grapes, thyme and cherries, which have high industrial value and export income. The study has shown that unbalanced production can be prevented by assigning fruits and vegetables in this way in every region of the country. As a result, the countrys agricultural lands will be used effectively and the contribution of agriculture to the national economy will increase.

 Turkeys Aegean region is a very suitable region for fruit production in terms of climatic conditions and soil characteristics. Fruit and vegetable production in the Aegean region has an important position in terms of Turkeys agricultural economy. The fruit growing sector has a very important place in Turkeys agricultural economy. The aim of the study is to prevent unbalanced fruit production in the Aegean region and to ensure more efficient fruit growing. In the study, it was aimed to assign a balanced production of fruits grown under different conditions in provinces with different characteristics in the Aegean region. For the assignment problem, the conditions of the cities in the Aegean region and the growing conditions of the fruits are considered together. These conditions are altitude, temperature, soil quality, climate, humidity, labor and irrigation. Conditions for fruit production were analyzed with the AHP method and factor weights were calculated. ARAS and Fuzzy Logic methods were used to solve the assignment problem of fruits. These methods enable to reach the result by digitizing the noncomputable features of a particular situation. Aydın, Manisa, Denizli and Afyonkarahisar provinces have been proposed, respectively, for the production of figs, grapes, thyme and cherries, which have high industrial value and export income. The study has shown that unbalanced production can be prevented by assigning fruits and vegetables in this way in every region of the country. As a result, the countrys agricultural lands will be used effectively and the contribution of agriculture to the national economy will increase.

 Turkeys Aegean region is a very suitable region for fruit production in terms of climatic conditions and soil characteristics. Fruit and vegetable production in the Aegean region has an important position in terms of Turkeys agricultural economy. The fruit growing sector has a very important place in Turkeys agricultural economy. The aim of the study is to prevent unbalanced fruit production in the Aegean region and to ensure more efficient fruit growing. In the study, it was aimed to assign a balanced production of fruits grown under different conditions in provinces with different characteristics in the Aegean region. For the assignment problem, the conditions of the cities in the Aegean region and the growing conditions of the fruits are considered together. These conditions are altitude, temperature, soil quality, climate, humidity, labor and irrigation. Conditions for fruit production were analyzed with the AHP method and factor weights were calculated. ARAS and Fuzzy Logic methods were used to solve the assignment problem of fruits. These methods enable to reach the result by digitizing the noncomputable features of a particular situation. Aydın, Manisa, Denizli and Afyonkarahisar provinces have been proposed, respectively, for the production of figs, grapes, thyme and cherries, which have high industrial value and export income. The study has shown that unbalanced production can be prevented by assigning fruits and vegetables in this way in every region of the country. As a result, the countrys agricultural lands will be used effectively and the contribution of agriculture to the national economy will increase.

 Türkiyenin Ege Bölgesi iklim koşulları ve toprak özellikleri açısından meyve üretimine çok elverişli bir bölgedir. Ege Bölgesindeki meyve ve sebze üretimi Türkiye tarım ekonomisi açısından önemli bir konuma sahiptir. Meyvecilik sektörü Türkiyenin tarım ekonomisi açısından oldukça önemli bir yere sahiptir. Çalışmanın amacı, Ege Bölgesindeki dengesiz meyve üretiminin önüne geçilerek daha verimli meyve yetiştiriciliğini sağlamaktır. Çalışmada, farklı koşullarda yetişen meyveleri Ege Bölgesindeki farklı özelliklere sahip illerde dengeli bir şekilde üretiminin yapılacağı bir atama amaçlanmıştır. Atama problemi için Ege Bölgesindeki şehirlerin koşulları ve meyvelerin yetişme koşulları birlikte ele alınmıştır. Bu koşullar; rakım, sıcaklık, toprak niteliği, iklim, nem, iş gücü ve sulamadır. Meyve üretimi için AHP yöntemiyle koşullar analiz edilmiş ve faktör ağırlıkları hesaplanmıştır. Meyvelerin atama problemini çözmek için ARAS ve Bulanık Mantık yöntemleri kullanılmıştır. Bu yöntemler, belli bir durumun hesaplanamayan özelliklerini sayısallaştırarak sonuca ulaşmayı sağlamaktadır. Endüstriyel değeri ve ihracat geliri yüksek olan başta incir, üzüm, kekik ve kiraz üretimi için sırasıyla Aydın, Manisa, Denizli ve Afyonkarahisar illeri önerilmiştir. Yapılan çalışma ülke genelinde her bölgede bu şekilde meyve ve sebze atamasının yapılarak dengesiz üretimin önüne geçilebileceğini göstermiştir. Sonuçta ülkenin tarım arazileri etkin kullanılabilecek ve tarımın milli ekonomiye katkısı artacaktır.

Makale detayları

Aegean Region fruit production assignment using Fuzzy Logic and ARAS methods

Yazarlar:

Hasan Akyer

Yayıncı:

Pamukkale University

Ana Başlıklar:

Karar Desteği ve Grup Destek Sistemleri

Dergi:

Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Vol.29 Issue 8, pp.797-809

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001308552

pISSN:

2147-5881

AHP

Fuzzy logic

ARAS

Assignment problem

Fruit productionAHP

Bulanık mantık

ARAS

Atama problemi

Meyve üretimi

Sayı

Makale detayları

Yazarlar: Hasan Akyer

Yayıncı: Pamukkale University

Ana Başlıklar: Karar Desteği ve Grup Destek Sistemleri

Dergi: Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Vol.29 Issue 8, pp.797-809

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001308552

pISSN: 2147-5881

Sayı

Yazarlar:

Hasan Akyer

Yayıncı:

Pamukkale University

Ana Başlıklar:

Karar Desteği ve Grup Destek Sistemleri

Dergi:

Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi Vol.29 Issue 8, pp.797-809

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001308552

pISSN:

2147-5881