TY - JOUR
T1 - Ranking of factors affecting pricing in construction projects by intuitionistic fuzzy analytic hierarchy process with ordered pairs
AU - Çebi, Selçuk
AU - Kahraman, Cengiz
AU - Onar, Sezi Çevik
AU - Öztayşi, Başar
N1 - Publisher Copyright:
© 2024 by the Authors.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Analytic hierarchy process
KW - Construction industry
KW - Intuitionistic fuzzy sets
KW - Pricing
UR - http://www.scopus.com/inward/record.url?scp=85201091248&partnerID=8YFLogxK
U2 - 10.7546/nifs.2024.30.2.131-141
DO - 10.7546/nifs.2024.30.2.131-141
M3 - Article
AN - SCOPUS:85201091248
SN - 1310-4926
VL - 30
SP - 131
EP - 141
JO - Notes on Intuitionistic Fuzzy Sets
JF - Notes on Intuitionistic Fuzzy Sets
IS - 2
ER -