Use of Analytical Hierarchy Process and Fuzzy Logic Approaches in Selection of the Organization That Will Win the Tender

Serhat Altıntaş; Latif Onur Uğur

Makale detayları

Use of Analytical Hierarchy Process and Fuzzy Logic Approaches in Selection of the Organization That Will Win the Tender

Yazarlar:

Serhat Altıntaş | Latif Onur Uğur

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Yapı İşletmesi

Dergi:

Black Sea Journal of Engineering and Science Vol.8 Issue 5, pp.1279-1296

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001354537

pISSN:

2619-8991

Anahtar kelimeler:

Özet:

 The purpose of this study is to examine the integration of the winning organization, especially Analytical Hierarchy Process and Fuzzy Logic approaches, in contractor selection processes and evaluate the effectiveness of these methods. The study will contribute to the understanding of contractor selection criteria in the construction industry and Analytical Hierarchy Process and Fuzzy Logic approaches, which are a method for analyzing and selecting the best contractor selection processes. The methods used in this context were compared by objectively measuring the performance of the companies. It explains in detail how the provided Python script performs the evaluation of contractor companies using Analytical Hierarchy Process and Fuzzy Logic methods. The study explains in detail how Analytical Hierarchy Process and Fuzzy Logic methods can be applied to identify critical factors for the decision-making process of successful contractor selection in the tender, evaluate these factors and analyze the results. Additionally, by comparing the advantages, disadvantages and application context of both approaches, suggestions are offered to improve decision-making processes in tender processes. According to the Analytical Hierarchy Process results of this study; It was determined that Company-1 stood out as the company with the best performance with 78. It was concluded that it received high scores in criteria such as quality, technical competence and cost. According to Fuzzy Logic results; Company-1 again received the highest score with 68.20, but it was determined that there were some differences in Fuzzy Logic. While companies such as Company-15 and Company-8 stand out in fuzzy logic, it has also been determined that there are companies that lag behind in the Analytical Hierarchy Process results. This shows the flexibility of Fuzzy Logic evaluation criteria and the conclusion that these two methods can give different results. This study aims to provide a basis for professionals, academics and decision makers in the business world to develop effective decision-making strategies in tender processes.

 The purpose of this study is to examine the integration of the winning organization, especially Analytical Hierarchy Process and Fuzzy Logic approaches, in contractor selection processes and evaluate the effectiveness of these methods. The study will contribute to the understanding of contractor selection criteria in the construction industry and Analytical Hierarchy Process and Fuzzy Logic approaches, which are a method for analyzing and selecting the best contractor selection processes. The methods used in this context were compared by objectively measuring the performance of the companies. It explains in detail how the provided Python script performs the evaluation of contractor companies using Analytical Hierarchy Process and Fuzzy Logic methods. The study explains in detail how Analytical Hierarchy Process and Fuzzy Logic methods can be applied to identify critical factors for the decision-making process of successful contractor selection in the tender, evaluate these factors and analyze the results. Additionally, by comparing the advantages, disadvantages and application context of both approaches, suggestions are offered to improve decision-making processes in tender processes. According to the Analytical Hierarchy Process results of this study; It was determined that Company-1 stood out as the company with the best performance with 78. It was concluded that it received high scores in criteria such as quality, technical competence and cost. According to Fuzzy Logic results; Company-1 again received the highest score with 68.20, but it was determined that there were some differences in Fuzzy Logic. While companies such as Company-15 and Company-8 stand out in fuzzy logic, it has also been determined that there are companies that lag behind in the Analytical Hierarchy Process results. This shows the flexibility of Fuzzy Logic evaluation criteria and the conclusion that these two methods can give different results. This study aims to provide a basis for professionals, academics and decision makers in the business world to develop effective decision-making strategies in tender processes.

 The purpose of this study is to examine the integration of the winning organization, especially Analytical Hierarchy Process and Fuzzy Logic approaches, in contractor selection processes and evaluate the effectiveness of these methods. The study will contribute to the understanding of contractor selection criteria in the construction industry and Analytical Hierarchy Process and Fuzzy Logic approaches, which are a method for analyzing and selecting the best contractor selection processes. The methods used in this context were compared by objectively measuring the performance of the companies. It explains in detail how the provided Python script performs the evaluation of contractor companies using Analytical Hierarchy Process and Fuzzy Logic methods. The study explains in detail how Analytical Hierarchy Process and Fuzzy Logic methods can be applied to identify critical factors for the decision-making process of successful contractor selection in the tender, evaluate these factors and analyze the results. Additionally, by comparing the advantages, disadvantages and application context of both approaches, suggestions are offered to improve decision-making processes in tender processes. According to the Analytical Hierarchy Process results of this study; It was determined that Company-1 stood out as the company with the best performance with 78. It was concluded that it received high scores in criteria such as quality, technical competence and cost. According to Fuzzy Logic results; Company-1 again received the highest score with 68.20, but it was determined that there were some differences in Fuzzy Logic. While companies such as Company-15 and Company-8 stand out in fuzzy logic, it has also been determined that there are companies that lag behind in the Analytical Hierarchy Process results. This shows the flexibility of Fuzzy Logic evaluation criteria and the conclusion that these two methods can give different results. This study aims to provide a basis for professionals, academics and decision makers in the business world to develop effective decision-making strategies in tender processes.

 Bu çalışmanın amacı, yüklenici seçim süreçlerinde kazanan kuruluşun, özellikle Analitik Hiyerarşi Prosesi ve Bulanık Mantık yaklaşımlarının entegrasyonunu incelemekte ve bu yöntemlerin etkinliğini değerlendirmektedir. Çalışma inşaat sektörüne yüklenici seçim kriterleri anlayışana ve en iyi yüklenici seçim süreçlerinin analiz edilmesi, seçilmesi için bir yöntem olan Analitik Hiyerarşi Prosesi ve Bulanık Mantık yaklaşımları ile katkıda bulunacaktır. Bu bağlamda kullanılan yöntemler, firmaların performansını objektif bir şekilde ölçülerek karşılaştırılmıştır. Sağlanan Python betiğinin Analitik Hiyerarşi Prosesi ve Bulanık Mantık yöntemlerini kullanarak yüklenici firmaların değerlendirilmesinin nasıl gerçekleştirdiğini detaylı bir şekilde açıklamaktadır. Çalışmada, ihalede başarılı bir yüklenici seçimi karar verme süreci için kritik faktörleri belirlemek, bu faktörleri değerlendirmek ve sonuçları analiz etmek amacıyla Analitik Hiyerarşi Prosesi ve Bulanık Mantık yöntemlerinin nasıl uygulanabileceğini detaylı bir şekilde açıklamaktadır. Ayrıca, her iki yaklaşımın avantajları, dezavantajları ve uygulama bağlamında karşılaştırılması yapılarak, ihale süreçlerinde karar verme süreçlerinin iyileştirilmesine yönelik öneriler sunulmaktadır. Bu çalışmanın Analitik Hiyerarşi Prosesi sonuçlarına göre; Firma-1 78 ile en iyi performansa sahip firma olarak öne çıktığı tespit edilmiştir. Kalite, teknik yeterlilik ve maliyet gibi kriterlerde yüksek puanlar almış olduğu sonucuna varılmıştır. Bulanık Mantık sonuçlarına göre; Firma-1 yine 68.20 ile en yüksek puanı almış, ancak Bulanık Mantıkta bazı farklılıklar olduğu tespit edilmiştir. Bulanık mantıkta Firma-15, Firma-8 gibi firmalar öne çıkarken, Analitik Hiyerarşi Prosesi sonuçlarında daha geride kalan firmalar olduğuda tespit edilmiştir. Bu da Bulanık Mantık değerlendirme kriterlerinin esnekliğini ve bu iki yöntemin farklı neticeler verebileceği sonucuna varılmıştır. Bu çalışma, iş dünyasındaki profesyoneller, akademisyenler ve karar alıcılar için ihale süreçlerinde etkili karar verme stratejileri geliştirmek amacıyla bir temel oluşturmayı hedeflemektedir.

Makale detayları

Use of Analytical Hierarchy Process and Fuzzy Logic Approaches in Selection of the Organization That Will Win the Tender

Yazarlar:

Serhat Altıntaş | Latif Onur Uğur

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Yapı İşletmesi

Dergi:

Black Sea Journal of Engineering and Science Vol.8 Issue 5, pp.1279-1296

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001354537

pISSN:

2619-8991

Python

Analytic hierarchy process

Multi-criteria decision making

Fuzzy logicPython

Analitik hiyerarşi prosesi

Çok kriterli karar verme

Bulanık mantık

Sayı

Makale detayları

Yazarlar: Serhat Altıntaş | Latif Onur Uğur

Yayıncı: Karyay Karadeniz Yayımcılık

Ana Başlıklar: Yapı İşletmesi

Dergi: Black Sea Journal of Engineering and Science Vol.8 Issue 5, pp.1279-1296

Belge Tipi: Makale

Yayın Tarihi: 9/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001354537

pISSN: 2619-8991

Sayı

Yazarlar:

Serhat Altıntaş | Latif Onur Uğur

Yayıncı:

Karyay Karadeniz Yayımcılık

Ana Başlıklar:

Yapı İşletmesi

Dergi:

Black Sea Journal of Engineering and Science Vol.8 Issue 5, pp.1279-1296

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001354537

pISSN:

2619-8991