Gül Polat

Association of Molecular Classification with FIGO Stage and Survival Outcomes in Endometrial Cancer

Merve Keskinkılıç, Gül Polat, Zeynep Bayramoğlu, Anıl Aysal Ağalar et autres

Background and Objectives: Molecular classification has emerged as a key determinant of prognosis in endometrial cancer and has recently been incorporated into the 2023 FIGO staging system. Tumors are categorized into four molecular subgroups—POLE-mutated (POLEmut), p53-abnormal (p53abn), mismatch repair-deficient (dMMR), and no …

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FOCUSING ON DELAY FACTORS IN CONSTRUCTION PROJECTS: A LITERATURE REVIEW AND INDUSTRY INSIGHT PERSPECTIVE

Aynur Hurriyet Turkyilmaz, Gül Polat, Aslı Pelin Gürgün

Delays remain a persistent challenge in construction projects. This study presents a bibliometric analysis of academic literature published over the past two decades to identify the evolving focus areas in research on delay factors in construction. Using clustering techniques, six major thematic …

The group analytic hierarchy process (G-AHP) with preference aggregation by type-2 fuzzy envelope of extended hesitant fuzzy linguistic term set (EHFLTS)

Michał Tomczak, Gül Polat

Abstract Solving practical selection problems frequently involves analyzing imprecise and uncertain input. In the absence of unequivocal measures for ranking options, the decision maker needs to resort to pairwise comparisons and capture preferences using comparative linguistic expressions. If multiple decision-makers are involved, …

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Erkek Meme Kanseri: Güncel Epidemiyoloji, Tanı ve Tedavi Yaklaşımları

Gül Polat

Giriş: Erkek meme kanseri (EMK), tüm meme kanserlerinin %1'inden azını oluşturan nadir bir hastalıktır. Kadınlara kıyasla daha geç yaşta (ortalama 68-71) ve çoğunlukla ileri evrede tanı alması nedeniyle epidemiyolojik, biyolojik ve yönetimsel farklılıklar göstermektedir. Bu derleme, EMK'nin risk faktörleri, patolojik özellikleri, tanı …

Meme Kanseri

Semra Taş, Ali Alper Solmaz, Burçin Çakan Demirel, Esra Zeynelgil et autres

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Evaluating Interactions between Formwork System Selection Criteria for Building Construction Projects: A Rough DEMATEL Approach

Taylan Terzioglu, Gül Polat

This study aims to improve the decision-making process for selecting formwork systems (FWS) in building construction projects by addressing the subjectivity and uncertainty of expert judgments. It seeks to uncover the complex interactions among FWS selection criteria and identify the critical criteria …

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Interdisciplinary Pathways for Innovation in Construction and Management

Gül Polat

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Subcontractor Selection for a Construction Project: Optimal Plan

Befrin Neval Bingöl, David Arditi, Gül Polat

Since general contractors outsource a significant number of work packages to several subcontractors, subcontractor performance is a primary indicator of project outcomes. This study proposes a multiobjective optimization model for setting up optimal subcontracting based on trade-offs between critical project objectives (i.e., …

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Identification and classification of risks in construction projects: clusters, trend studies and risk breakdown structure

Aynur Hurriyet Turkyilmaz, Gül Polat

Purpose Construction projects are subject to multiple risks from the tender stage to the final acceptance. Therefore, this topic has always been noteworthy among researchers and professionals in the construction industry. This study presents a bibliometric and content analysis of the existing …

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Golden eagle optimizer-based multi-objective optimization model for scheduling construction projects

Harun Turkoglu, David Arditi, Gül Polat

This study presents a multi-objective optimization model based on the Golden Eagle Optimizer (GEO) that can simultaneously address all of the defined and quantifiable objectives of a construction project. The model’s practicality, accuracy, and effectiveness were evaluated in an example project. Furthermore, …

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Risk-based completion cost prediction approach in construction projects utilizing machine learning

Aynur Hurriyet Turkyilmaz, Gül Polat

The construction industry is among the sectors exposed to frequent budget overruns. Therefore, accurately predicting costs to complete the construction projects is a vital point. Several research studies focus on cost estimation, construction risk factors, and their cost impact. Although they produced …

Risk-Based Completion Cost Overrun Ratio Estimation in Construction Projects Using Machine Learning Classification Algorithms: A Case Study

Aynur Hurriyet Turkyilmaz, Gül Polat

Estimating the completion cost accurately in the early phases of construction projects is critical to their success. However, cost overruns are almost inevitable due to the risks inherent in construction projects. Hence, the completion cost fluctuates throughout the execution phase and requires …

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