View source for Issue:Ranking of factors affecting pricing in construction projects by intuitionistic fuzzy analytic hierarchy process with ordered pairs

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[[Category:Publications in Notes on IFS|{{PAGENAME}}]]
[[Category:Publications in 2024 year|{{PAGENAME}}]]
{{issue/title
 | title           = Ranking of factors affecting pricing in construction projects by intuitionistic fuzzy analytic hierarchy process with ordered pairs
 | shortcut        = nifs/30/2/131-141
}}
{{issue/author
 | author          = Selçuk Çebi 
 | institution     = Department of Industrial Engineering, Yildiz Technical University 
 | address         = Beşiktaş 34349, Türkiye
 | institution-2   = Industrial Data Analytics and Decision Support Systems Center,  Azerbaijan State University of Economics (UNEC) 
 | address-2       = Baku 1001, Azerbaijan
 | email-before-at = scebi
 | email-after-at  = yildiz.edu.tr
}}
{{issue/author
 | author          = Cengiz Kahraman 
 | institution     = Department of Industrial Engineering, Istanbul Technical University 
 | address         = Beşiktaş 34349, Türkiye
 | email-before-at = kahramanc
 | email-after-at  = yildiz.edu.tr 
}}
{{issue/author
 | author          = Sezi Çevik Onar
 | institution     = Department of Industrial Engineering, Istanbul Technical University 
 | address         = Beşiktaş 34349, Türkiye
 | email-before-at = cevikse
 | email-after-at  = itu.edu.tr 
}}
{{issue/author
 | author          = Başar Öztayşi 
 | institution     = Department of Industrial Engineering, Istanbul Technical University 
 | address         = Beşiktaş 34349, Türkiye
 | email-before-at = oztaysib
 | email-after-at  = itu.edu.tr 
}}
{{issue/data
 | conference      = Proceedings of the 27th [[International Conference on Intuitionistic Fuzzy Sets]], 5–6 July 2024, Burgas, Bulgaria
 | issue           = [[Notes on Intuitionistic Fuzzy Sets/30/2|Notes on Intuitionistic Fuzzy Sets, Volume 30 (2024), Number 2]], pages 131–141
 | doi             = https://doi.org/10.7546/nifs.2024.30.2.131-141
 | file            = NIFS-30-2-131-141.pdf
 | format          = PDF
 | size            = 665
 | abstract        = The construction industry faces various challenges related to uncertainties in project bids and unstable pricing. These challenges include situations where uncertainties in bid documents can affect project pricing and performance. In order to resolve these uncertainties and clarify project requirements, risks and uncertainties within the document need to be identified early in the project life cycle. This study aims to rank the factors affecting project pricing. For this purpose, firstly, the parameters that have an impact on pricing are defined and then these factors are weighted by using Intuitionistic Fuzzy Analytic Hierarchy Process with Ordered Pairs. 

The analysis of factors affecting construction pricing reveals some important insights. Environmental uncertainties and uncertainties in prices and labor costs are the most important factors influencing pricing, while past project experience is the least important factor. Overall, these findings shed light on the multifaceted nature of construction pricing, which is shaped by the complex interaction of environmental, economic and market factors.
 | keywords        = Pricing, Construction industry, Intuitionistic fuzzy sets, Analytic hierarchy process.
 | ams             = 03E72.
 | references      = 
# Alhyari, O., & Hyari, K. H. (2022). Handling unbalanced pricing in bidding regulations for public construction projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 14(3), Article ID 04522011.
# Atanassov, K. T., & Gargov, G. (1989). Interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems, 31(3), 343–349.
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# Atanassov, K., Szmidt, E., & Kacprzyk, J. (2013). [[Issue:On intuitionistic fuzzy pairs|On intuitionistic fuzzy pairs]]. Notes on Intuitionistic Fuzzy Sets, 19(3), 1–13.
# Çebi, S., Kutlu Gündoğdu, F., & Kahraman, C. (2022). Operational risk analysis in business processes using decomposed fuzzy sets. Journal of Intelligent & Fuzzy Systems, 43(3), 2485–-2502.
# Çebi, S., Kutlu Gündoğdu, F., & Kahraman, C. (2023). Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry. Applied Soft Computing, 134, Article ID 110000.
# Kahraman, C., Çebi, S., Öztayşi, B., & Çevik Onar, S. (2023). Intuitionistic Fuzzy Sets with Ordered Pairs and Their Usage in Multi-Attribute Decision Making: A Novel Intuitionistic Fuzzy TOPSIS Method with Ordered Pairs, Mathematics, 11 (8), 3867.
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# Ribeiro, J. A., Pereira, P. J., & Brandão, E. M. (2018). An option pricing approach to optimal bidding in construction projects. Managerial and Decision Economics, 39(2), 171–179.
# Shrestha, R., Ko, T., & Lee, J. (2023). Uncertainties prevailing in construction bid documents and their impact on project pricing through the analysis of prebid requests for information. Journal of Management in Engineering, 39(6), Article ID 04023040.
# Wong, J. T. Y., & Hui, E. C. M. (2006). Construction project risks: Further considerations for constructors’ pricing in Hong Kong. Construction Management and Economics, 24(4), 425–438.
# Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3) 338–353.

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