School of Science, Engineering & Environment

IoT data quality issues and potential solutions: a literature review (2021)
Journal Article
Mansouri, T., Moghadam, M., Monshizadeh, F., & Zareravasan, A. (2021). IoT data quality issues and potential solutions: a literature review. Computer Journal, https://doi.org/10.1093/comjnl/bxab183

In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gai... Read More about IoT data quality issues and potential solutions: a literature review.

IoT data quality issues and potential solutions : a literature review (2021)
Journal Article
Mansouri, T., Sadeghi Moghadam, M., Monshizadeh, F., & Zareravasan, A. (2021). IoT data quality issues and potential solutions : a literature review. Computer Journal, https://doi.org/10.1093/comjnl/bxab183

In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gai... Read More about IoT data quality issues and potential solutions : a literature review.

Credit card fraud detection using asexual reproduction optimization (2021)
Journal Article
Farhang, A., Mansouri, T., Sadeghi Moghaddam, M., Bahrambeik, N., Yavari, R., & Fani Sani, M. (2021). Credit card fraud detection using asexual reproduction optimization. Kybernetes, https://doi.org/10.1108/K-04-2021-0324

Purpose – The best algorithm that was implemented on this Brazilian dataset was artificial immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using asexual reproduction optimization (ARO) algorithm, the authors achieve... Read More about Credit card fraud detection using asexual reproduction optimization.

An FCM-based dynamic modeling of operability and maintainability barriers in road projects (2021)
Journal Article
Ghaleenoei, N., Saghatforoush, E., Mansouri, T., & Zareravasan, A. (2021). An FCM-based dynamic modeling of operability and maintainability barriers in road projects. International Journal of Pavement Research and Technology, https://doi.org/10.1007/s42947-021-00027-z

Building a new road infrastructure in the country leads to economic and industrial growth. A massive amount of money is paid by governments to build them; however, they fail due to many reasons related to operability and maintainability (O&M) issues.... Read More about An FCM-based dynamic modeling of operability and maintainability barriers in road projects.

A Learning Fuzzy Cognitive Map (LFCM) approach to predict student performance (2021)
Journal Article
Mansouri, T., ZareRavasan, A., & Ashrafi, A. (2021). A Learning Fuzzy Cognitive Map (LFCM) approach to predict student performance. Journal of Information Technology Education: Research, 20, 221-243. https://doi.org/10.28945/4760

Aim/Purpose: This research aims to present a brand-new approach for student performance prediction using the Learning Fuzzy Cognitive Map (LFCM) approach. Background: Predicting student academic performance has long been an important research topic i... Read More about A Learning Fuzzy Cognitive Map (LFCM) approach to predict student performance.

An FCM-based dynamic modelling of integrated project delivery implementation challenges in construction projects (2018)
Journal Article
Kahvandi, Z., Saghatforoush, E., Ravasan, A., & Mansouri, T. (2018). An FCM-based dynamic modelling of integrated project delivery implementation challenges in construction projects. Lean construction journal, 2018, 63-87

Question: What are the Integrated Project Delivery Implementation challenges in construction projects, their interrelationships and their effects on the project time, cost and quality? Purpose: The Purpose of this study is applying an efficient me... Read More about An FCM-based dynamic modelling of integrated project delivery implementation challenges in construction projects.

Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm (2018)
Journal Article
Salmeron, J., Mansouri, T., Moghadam, M., & Mardani, A. (2019). Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm. Knowledge-Based Systems, 163, 723-735. https://doi.org/10.1016/j.knosys.2018.09.034

This paper present a comparison between Fuzzy Cognitive Map (FCM) learning approaches and algorithms. FCMs are fuzzy digraphs with weights and feedback loops, consisting of nodes interconnected through directed arcs mostly used for knowledge represen... Read More about Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm.

A fuzzy ANP based weighted RFM model for customer segmentation in auto insurance sector (2018)
Book Chapter
Ravasan, A., & Mansouri, T. (2018). A fuzzy ANP based weighted RFM model for customer segmentation in auto insurance sector. In Intelligent systems : concepts, methodologies, tools, and applications (1050-1067). IGI Global. https://doi.org/10.4018/978-1-5225-5643-5.ch044

Data mining has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the raw data. This study has proposed a brand new and practical fuzzy analytic network process (FANP) based weighte... Read More about A fuzzy ANP based weighted RFM model for customer segmentation in auto insurance sector.

A dynamic ERP critical failure factors modelling with FCM throughout project lifecycle phases (2015)
Journal Article
Ravansan, A., & Mansouri, T. (2016). A dynamic ERP critical failure factors modelling with FCM throughout project lifecycle phases. Production Planning and Control, 27(2), 65-82. https://doi.org/10.1080/09537287.2015.1064551

Implementation of enterprise resource planning systems (ERPs) is a complex and costly task which usually results in serious failures. Numerous factors affect these projects implementation due to their size, complexity and high chance of failure. Ther... Read More about A dynamic ERP critical failure factors modelling with FCM throughout project lifecycle phases.

Outputs (30)