A deep explainable model for fault prediction using IoT sensors (2022)
Journal Article
Mansouri, T., & Vadera, S. (2022). A deep explainable model for fault prediction using IoT sensors. IEEE Access, https://doi.org/10.1109/ACCESS.2022.3184693

IoT sensors and deep learning models can widely be applied for fault prediction. Although deep learning models are considerably more potent than many conventional machine learning models, they are not transparent. This paper first examines differen... Read More about A deep explainable model for fault prediction using IoT sensors.

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.

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.

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.

A practical model for ensemble estimation of QoS and QoE in VoIP services via fuzzy inference systems and fuzzy evidence theory (2015)
Journal Article
Mansouri, T., Nabavi, A., Ravasan, A., & Ahangarbahan, H. (2016). A practical model for ensemble estimation of QoS and QoE in VoIP services via fuzzy inference systems and fuzzy evidence theory. Telecommunication Systems, 61(4), 861-873. https://doi.org/10.1007/s11235-015-0041-6

Nowadays, there is an increasing number of Voices over IP (VoIP) services offered in telecommunication networks with specific quality requirements. Such requirements impact upon both the objective quality of service (QoS) of the end-to end connection... Read More about A practical model for ensemble estimation of QoS and QoE in VoIP services via fuzzy inference systems and fuzzy evidence theory.

A fuzzy ANP based weighted RFM model for customer segmentation in auto insurance sector (2015)
Journal Article
Ravasan, A., & Mansouri, T. (2015). A fuzzy ANP based weighted RFM model for customer segmentation in auto insurance sector. International Journal of Information Systems in the Service Sector, 7(2), 5. https://doi.org/10.4018/ijisss.2015040105

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.

Can organizational structure influence ERP success? (2015)
Journal Article
Ravasan, A., Nabavi, A., & Mansouri, T. (2015). Can organizational structure influence ERP success?. International Journal of Information Systems and Supply Chain Management, 8(1), 3. https://doi.org/10.4018/ijisscm.2015010103

Implementing enterprise resource planning systems is a sophisticated, lengthy and costly process which tends to face serious failure. Though many contributing factors have been cited in the literature, the authors argue that the integrated nature of... Read More about Can organizational structure influence ERP success?.

Supporting the module sequencing decision in ITIL solution implementation : an application of the fuzzy TOPSIS approach (2014)
Journal Article
Ravasan, A., Mansouri, T., Mohammadi, M., & Rouhani, S. (2014). Supporting the module sequencing decision in ITIL solution implementation : an application of the fuzzy TOPSIS approach. International Journal of Information Technologies and Systems Approach, 7(2), 3. https://doi.org/10.4018/ijitsa.2014070103

Nowadays a growing interest in Information Technology Service Management (ITSM) proves the trends and needs of their implementation in organizations. In order to successfully implement an ITSM project in an organization, it is essential to implement... Read More about Supporting the module sequencing decision in ITIL solution implementation : an application of the fuzzy TOPSIS approach.

A novel hybrid algorithm based on K-means and evolutionary computations for real time clustering (2014)
Journal Article
Mansouri, T., Ravasan, A., & Gholamian, M. (2014). A novel hybrid algorithm based on K-means and evolutionary computations for real time clustering. International Journal of Data Warehousing and Mining, 10(3), 1. https://doi.org/10.4018/ijdwm.2014070101

One of the most widely used algorithms to solve clustering problems is the K-means. Despite of the algorithm's timely performance to find a fairly good solution, it shows some drawbacks like its dependence on initial conditions and trapping in local... Read More about A novel hybrid algorithm based on K-means and evolutionary computations for real time clustering.

A FCM-based dynamic modeling of ERP implementation critical failure factors (2014)
Journal Article
Ravasan, A., & Mansouri, T. (2014). A FCM-based dynamic modeling of ERP implementation critical failure factors. International Journal of Enterprise Information Systems, 10(1), 3. https://doi.org/10.4018/ijeis.2014010103

Implementation of Enterprise Resource Planning systems (ERPs) is a complex and costly process which usually results in serious failures. Numerous factors affect these projects implementation due to their size, complexity and high chance of failure. T... Read More about A FCM-based dynamic modeling of ERP implementation critical failure factors.

ARO : a new model free optimization algorithm for real time applications inspired by the asexual reproduction (2010)
Journal Article
Mansouri, T., Farasat, A., Menhaj, M., & Moghadam, M. (2011). ARO : a new model free optimization algorithm for real time applications inspired by the asexual reproduction. Expert systems with applications, 38(5), 4866-4874. https://doi.org/10.1016/j.eswa.2010.09.084

This paper presents a new individual based optimization algorithm, which is inspired from asexual reproduction known as a remarkable biological phenomenon, called as asexual reproduction optimization (ARO). ARO can be essentially considered as an evo... Read More about ARO : a new model free optimization algorithm for real time applications inspired by the asexual reproduction.

ARO: a new model-free optimization algorithm inspired from asexual reproduction (2010)
Journal Article
Farasat, A., Menhaj, M., Mansouri, T., & Moghadam, M. (2010). ARO: a new model-free optimization algorithm inspired from asexual reproduction. Applied Soft Computing, 10(4), 1284-1292. https://doi.org/10.1016/j.asoc.2010.05.011

This paper proposes a new individual based optimization algorithm, which is inspired from asexual reproduction known as a remarkable biological phenomenon, called as Asexual Reproduction Optimization (ARO). ARO can be essentially considered as an evo... Read More about ARO: a new model-free optimization algorithm inspired from asexual reproduction.

Evolutionary algorithm for solving the inverse problem of finding the incident field on a high-aperture lens for generating a desired focused field (2009)
Journal Article
Massoumian, F., Alali, S., & Mansouri, T. (2009). Evolutionary algorithm for solving the inverse problem of finding the incident field on a high-aperture lens for generating a desired focused field. Optics Letters, 34(1), 67-69. https://doi.org/10.1364/OL.34.000067

Using a proposed evolutionary algorithm, we have solved the inverse problem of finding the incident field on a high-aperture lens for generating a desired focused field, for the first time (to our knowledge). Further, we have achieved the global solu... Read More about Evolutionary algorithm for solving the inverse problem of finding the incident field on a high-aperture lens for generating a desired focused field.

Customer satisfaction fuzzy cognitive map in banking industry (2008)
Presentation / Conference
Reza Nasserzadeh, S., Hamed Jafarzadeh, M., Mansouri, T., & Sohrabi, B. (2008, June). Customer satisfaction fuzzy cognitive map in banking industry. Presented at 10th IBIMA Conference, Kuala Lumpur, Malaysia

Customer satisfaction is one of the key factors in modern marketing and customers' behavior analysis. Banking industry is one of the numerous services in which the customer satisfaction has had an ever increasing importance in the corresponding resea... Read More about Customer satisfaction fuzzy cognitive map in banking industry.