An FCM-based Dynamic Modeling of Operability and Maintainability Barriers in Road Projects

Ghaleenoei, Nazanin Kordestani; Saghatforoush, Ehsan; Mansouri, Taha; Zareravasan, Ahad

doi:10.1007/s42947-021-00027-z

Cited by 4 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An FCM is developed using a learning method called Learning FCM or LFCM (Salmeron et al, 2019). There are many applications of this technique in the literature, such as in medicine (Nápoles et al, 2014), customer behaviour analysis (Nasserzadeh et al, 2008), students' performance estimation (Mansouri et al, 2021), computer science (Osei‐Bryson, 2004), project management (Kahvandi et al, 2018; Kordestani Ghaleenoei et al, 2021), and some other domains (Poomagal et al, 2021).…”

Section: Previous Workmentioning

confidence: 99%

Explainable fault prediction using learning fuzzy cognitive maps

Mansouri

Vadera

2023

Expert Systems

Self Cite

View full text Add to dashboard Cite

IoT sensors capture different aspects of the environment and generate high throughput data streams. Besides capturing these data streams and reporting the monitoring information, there is significant potential for adopting deep learning to identify valuable insights for predictive preventive maintenance. One specific class of applications involves using Long Short‐Term Memory Networks (LSTMs) to predict faults happening in the near future. However, despite their remarkable performance, LSTMs can be very opaque. This paper deals with this issue by applying Learning Fuzzy Cognitive Maps (LFCMs) for developing simplified auxiliary models that can provide greater transparency. An LSTM model for predicting faults of industrial bearings based on readings from vibration sensors is developed to evaluate the idea. An LFCM is then used to imitate the performance of the baseline LSTM model. Through static and dynamic analyses, we demonstrate that LFCM can highlight (i) which members in a sequence of readings contribute to the prediction result and (ii) which values could be controlled to prevent possible faults. Moreover, we compare LFCM with state‐of‐the‐art methods reported in the literature, including decision trees and SHAP values. The experiments show that LFCM offers some advantages over these methods. Moreover, LFCM, by conducting a what‐if analysis, could provide more information about the black‐box model. To the best of our knowledge, this is the first time LFCMs have been used to simplify a deep learning model to offer greater explainability.

show abstract

Section: Previous Workmentioning

confidence: 99%

Explainable fault prediction using learning fuzzy cognitive maps

Mansouri

Vadera

2023

Expert Systems

Self Cite

View full text Add to dashboard Cite

show abstract

“…From a larger perspective, the collusive behavior in the construction of mega projects is a problem of engineering governance. In the time dimension of engineering governance, some scholars believe that the governance should be carried out from the whole life cycle of mega projects to solve the collusion problem (Zhao et al, 2022;Gao et al, 2022;Chen et al, 2020), among them, we can learn from the artificial intelligence method based on digital technology (Wang et al, 2022), fuzzy cognitive mapping technology (Kordestani Ghaleenoei et al, 2022) and so on. In terms of governance mechanisms, it is necessary to build action criteria, organizational procedures, and joint action mechanisms for major project decision-making (Li et al, 2019) and discuss the core connotation and derivative issues of the integration and unification of governance modernization and Sinicization (Sheng et al, 2020).…”

mentioning

confidence: 99%

Evolutionary game analysis on decision-making behaviors of participants in mega projects

Chen,

Chen

2023

Humanit Soc Sci Commun

View full text Add to dashboard Cite

Mega projects have a huge impact on the economy and society. Preventing collusive behavior and introducing public participation in supervision are conducive to the governance of mega projects and are crucial to the success of mega projects. The owner, the construction party, and the supervisor of the mega project are regarded as a collusion-body that may collude. Based on the evolutionary game theory, an evolutionary game model with collusion-body, the government, and the public as the participants is constructed. The stability of each participant’s strategy selection is analyzed, the conditions for achieving the evolutionarily stable strategy are obtained, and the evolutionary path of the strategy is simulated. The results show that the costs and benefits have important effects on the behavior of the three participants. Each participant’s strategy choice is affected by other participants, and there is a certain critical probability for each participant. If the critical value is greater than or less than, the participant’s strategy will change. There are five evolutionary stable strategies in the game system, and the costs and benefits conditions to achieve each evolutionary stable strategy are different. In the case of active government intervention and public participation in supervision, the ideal stabilization strategy can be achieved by changing the costs and benefits parameters of the participants, and then the governance effectiveness of the collusive behavior of mega projects can be improved.

show abstract

Integration of facility manager in planning, design, and execution of construction projects

Jari,

Abdulghafour

2024

J. Umm Al-Qura Univ. Eng.Archit.

View full text Add to dashboard Cite

Construction projects typically progress through four primary phases, namely planning, design, implementation, and operation. This study discusses the facility manager’s (FM) role during the project development phases prior to operation to improve the facility’s operational efficiency. The study applied deductive positivism approaches and quantitative analysis through the application of stratified sampling and cross-sectional survey to identify the potential roles before the operation phase. The study identified the primary roles in which FM might participate throughout the project’s lifecycle. The results confirmed that FM has a crucial role in the decision-making process in the design phase while having minimal roles in the planning and execution phases. Additionally, results showed that among stakeholders, clients are the most reluctant to support FM integration in projects while consultants are the most supportive group. The client’s reluctance can be linked with potential added administrative costs and complexities or concerns related to duplication of roles. The study proposed a model to effectively integrate FM throughout the project while preserving managerial flexibility to fit different client institutions' needs and their various administrative systems.

show abstract

An FCM-based Dynamic Modeling of Operability and Maintainability Barriers in Road Projects

Cited by 4 publications

References 47 publications

Explainable fault prediction using learning fuzzy cognitive maps

Explainable fault prediction using learning fuzzy cognitive maps

Evolutionary game analysis on decision-making behaviors of participants in mega projects

Integration of facility manager in planning, design, and execution of construction projects

Contact Info

Product

Resources

About