Selecting the appropriate project delivery method for real estate projects using fuzzy AHP

Çomu, Semra; Kural, Zehra; Yucel, Busra

doi:10.31462/jcemi.2020.04249263

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…Moreover, not only qualitative assessment factors are carefully considered, but also the psychology of real estate market participants. Governments of countries with developed real estate markets use modern theories such as triangular theory of fuzzy numbers (VIKOR), rough set theory [12], cost tolerance ratio, fuzzy logic [13] and genetic algorithms [14]. Significant attention is also paid to the use of artificial intelligence in the development of new mass assessment models.…”

Section: Discussionmentioning

confidence: 99%

Addressing Methodological Challenges in the Mass Real Estate Valuation Process, Specifically Within the Context of the Republic of Moldova

Paladi

2024

Financial Engineering

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This research investigates the precision of mass real estate valuation models, particularly focusing on the methodology of mathematical value modeling. The discussed challenges are particularly relevant to nations employing an ad-valorem taxation system. The Republic of Moldova's mass appraisal system for real estate serves as an illustrative case. Through a comparative analysis of the performance metrics between existing models and those refined based on the proposed recommendations, the study illustrates the improved efficiency of the advocated methodology.

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Section: Discussionmentioning

confidence: 99%

Addressing Methodological Challenges in the Mass Real Estate Valuation Process, Specifically Within the Context of the Republic of Moldova

Paladi

2024

Financial Engineering

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“…The research by Sumer and Arditi [50] points out that contract administration is an important aspect of effective management of any construction project. The research evaluated the impact of two different contracting formats on construction projects in Turkey.…”

Section: Discussionmentioning

confidence: 99%

A framework for classifying state DOT projects

Okere¹

2022

JCEMI

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On state DOT projects, practitioners want to know why a project was or was not completed on time, and why a project was or was not on budget. To answer these questions effectively, practitioners must have a framework that allows them to compare projects by type and look for performance patterns. The lack of a standardized method to classify state DOT projects may make it difficult for practitioners to identify trends, and patterns, and to use such information to inform and enhance practice. A standard classification of state DOT projects does not exist. Hence, the objective of this research is to develop a classification framework for state DOT projects based on several differentiating dimensions of state DOT projects. Following a qualitative synthesis research method, a framework that captured the key state DOT project differentiating dimensions was developed. The output of this research includes a classification framework for aggregating different types of state DOT projects. The significant contribution to the body of knowledge on classifying state DOT projects is that basic state DOT project performance analytics can be enhanced within and across the state DOTs by using the project classification framework developed from this research.

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“…The MCDA methods were applied to various areas of civil engineering such as structural engineering [10], geotechnical engineering [11], water resources engineering [12], transportation engineering [13], environmental engineering [14], and construction engineering [15]. This study implemented the Fuzzy-AHP approach which is likewise implemented in different areas of construction engineering including cost overruns [16], supplier selection [17], construction and demolition waste management [18], project delivery method [19], and change order in construction [20]. The current study implemented the fuzzy-AHP approach in creating data-flow framework model featuring risk-resilient approach towards effective construction worksite synergy.…”

Section: Related Studiesmentioning

confidence: 99%

Digital Information Mobility Schema: A Data-Flow Model Featuring Risk-Resilient Approach Towards Effective Construction Worksite Synergy Utilizing Fuzzy-Analytic Hierarchy Process

Silva

Villaverde

Agapito

et al. 2022

Modern Management Based on Big Data III

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The increasingly effective managing of risks in construction projects requires the stakeholders to collaborate, resulting in the need to integrate the use of Building Information Modelling (BIM) to mitigate the risks in project collaboration. Our understanding of strategic planning of BIM adoption amidst a pandemic is still limited, and it is widely accepted that COVID-19 is a long-term pandemic that require a constant and innovative range of mitigation approaches to protect public health. The significant construction advances emphasize remote work and digital tools that assist in the project’s on-time completion. A fully digitalized approach is necessary for service continuity and rapid processing, particularly during a pandemic. Therefore, this study develops an adaptive digital collaboration framework based on Cloud-Based BIM technology to reduce risks while increasing workplace productivity and mobility. It resulted in a new way of managing the project information, enhancing the design team collaboration, and transforming 2D plans into 3D models. It integrates information to take a building through a virtual construction process long before it is completed, and each team member has access to the most up-to-date and current project information.

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Selecting the appropriate project delivery method for real estate projects using fuzzy AHP

Cited by 6 publications

References 29 publications

Addressing Methodological Challenges in the Mass Real Estate Valuation Process, Specifically Within the Context of the Republic of Moldova

Addressing Methodological Challenges in the Mass Real Estate Valuation Process, Specifically Within the Context of the Republic of Moldova

A framework for classifying state DOT projects

Digital Information Mobility Schema: A Data-Flow Model Featuring Risk-Resilient Approach Towards Effective Construction Worksite Synergy Utilizing Fuzzy-Analytic Hierarchy Process

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