An Innovative Method for Project Transaction Mode Design Based on Case-Based Reasoning: A Chinese Case Study

Abstract

Aiming at the design of a project transaction mode, the case-based reasoning (CBR) method is used as a methodology to build a case-based reasoning system based on project performance predictions. Thirty-four cases are initially selected for the practical application. Based on the classical CBR, the performance forecast is added, an improved continuous variable interpolation scoring method is proposed, and three types of manual revision methods are proposed: owner’s preference for the project transaction mode, extreme value, and secondary learning. The innovative method is verified with Nanjing HF Project as an example, and the results show that the case-based reasoning system can optimize the selection and design of the project transaction mode, providing a certain guarantee for project performance and facilitating the transfer of construction experience and knowledge within the construction industry.

Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning

“…They found that the weighted Mahalanobis distance may not be an effective distance measurement as compared to the Euclidean distance, but can still provide an acceptable estimation performance depending on the data conditions. Ding et al [51] proposed a model for the evaluation of project performance. In their research, three distance algorithms were employed for the measurement of the similarity distance depending on the types of attributes.…”

“…This methodology is useful because it can be applied when relevant datasets are limited or inadequate, even if the problems are not well-organized [60,61]. CBR has been used in a variety of fields, such as cost estimation, safety diagnosis, maintenance, and duration estimation [37,40,51]. In general, CBR comprises four steps: Case retrieval, case reuse, case revision, and case retention [14,20,33,35].…”

“…The qualitative assessment provided by experts can be converted into numerical values through AHP. The AHP was devised and developed originally by Thomas Saaty in the early 1970s, and is commonly used in decision-making processes, including multi-criteria attributes [22,51,68]. The AHP technique is one of the most useful tools for handling difficult problems with several criteria; furthermore, it is suitable for reflecting the opinions and experience of experts and examining the relative weights of interrelated and complex attributes [22,68,69].…”

“…If the consistency ratio exceeds 0.1, the determined weights need to be re-evaluated to ensure consistency [68][69][70][71]. However, such evaluations may be ambiguous and uncertain depending on the linguistic expressions of the variables [37,51,72,73]. To address the limitations of conventional AHP, fuzzy-AHP is utilized to assign attributes.…”

Project Procurement Method Selection Using a Multi-Criteria Decision-Making Method with Interval Neutrosophic Sets

“…The appropriate PPM could reduce project costs by an average of 5% [3]. The most common PPMs in the construction industry include Design Bid Build (DBB), Design Build (DB), Construction Management (CM), Engineering Procurement Construction (EPC), construction management as program management (CM) [4,5], and Public Private Partnership (PPP) [6,7]. Each form of PPM is unique and cannot be effectively applied to all projects because of their different characteristics [4,8].…”