A cloud services recommendation system based on Fuzzy Formal Concept Analysis

Mezni, Haithem; Abdeljaoued, Taher

doi:10.1016/j.datak.2018.05.008

Cited by 44 publications

(16 citation statements)

References 26 publications

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“…Temporary results may be stored in the workspace. The inference engine is a program, which infers the knowledge available within the knowledge base [23][24][25]. Distribute student projects, the system intends to represent a common framework that implements a generally accepted basic structure of academic projects.…”

Section: Methods Of Systemmentioning

confidence: 99%

Design an expert system for students graduation projects in Iraq universities: Basrah University

Naser

Hasen

2021

IJECE

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A graduation project is a form or work that the study authority requests from the student to measure what he made during the study. Designed an expert system for students’ graduation projects at the University of Basrah for students who are obligated to submit a project that qualifies them to graduate from the university. The system works according to a set of requirements, the most important is first: The student's possession of a high rate that qualifies him for the project. Second: he must possess half of the skills required for the project provided that it includes at least one programming language example (c ++, java, PHP, c #, etc ...). The system has many features that help the Supervisors and Students Committee to manage students' projects efficiently. System is built as a web-based system, with access limited only to the university's local network.

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Section: Methods Of Systemmentioning

confidence: 99%

Design an expert system for students graduation projects in Iraq universities: Basrah University

Naser

Hasen

2021

IJECE

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“…In addition to considering the number of clouds in the composition, it also takes into account the cost between the clouds. The tests showed the effectiveness and ability of the FCA-based method to find and group cloud compositions with a minimum number of clouds, the lowest communication cost, and the lowest time to service selection in the nearest cloud or in the same cloud [23][24].…”

Section: Methods Provided Using Multi-cloud Algorithmsmentioning

confidence: 99%

Services Composition in Multi-cloud Environments using the Skyline Service Algorithm

Heidari

Emadi

2021

IJE

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“…For instance, Fuzzy approaches for cloud service recommendation were proposed in the literature. An innovative collaborative filtering-based recommendation system for cloud services using Fuzzy Formal Concept Analysis (Fuzzy FCA) was presented in Mezni and Abdeljaoued [33], while a Fuzzy Ontology structure for cloud service recommendation built upon semantic technologies was proposed in Balaji et al [34].…”

Section: State Of the Artmentioning

confidence: 99%

Intelligent decision-making support system for manufacturing solution recommendation in a cloud framework

Simeone

Zeng

Caggiano

2020

Int J Adv Manuf Technol

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Cloud manufacturing represents a valuable tool to enable wide sharing of manufacturing services and solutions by connecting suppliers and customers in large-scale manufacturing networks through a cloud platform. In this context, with increasing manufacturing network size at global scale, the elevated number of manufacturing solutions offered via cloud platform to connected customers can increase the complexity of decision-making, resulting in poor user experience from a customer perspective. To tackle this issue, in this paper, an intelligent decision-making support tool based on a manufacturing service recommendation system (RS) is designed and developed to provide for tailored manufacturing solution recommendation to customers in a cloud manufacturing system. A machine learning procedure based on neural networks for data regression is employed to process historical data on user manufacturing solution preferences and to carry out the automatic extraction of key features from incoming user instances and compatible manufacturing solutions generated by the cloud platform. In this way, the machine learning procedure is able to perform a customer segmentation and build a recommendation list characterized by a ranking of manufacturing solutions which is tailored to the specific customer profile. With the aim to validate the proposed intelligent decision-making support system, a case study is simulated within the framework of a cloud manufacturing platform delivering dynamic sharing of sheet metal cutting manufacturing solutions. The system capability is discussed in terms of machine learning performance as well as industrial applicability and user selection likelihood.

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A cloud services recommendation system based on Fuzzy Formal Concept Analysis

Cited by 44 publications

References 26 publications

Design an expert system for students graduation projects in Iraq universities: Basrah University

Design an expert system for students graduation projects in Iraq universities: Basrah University

Services Composition in Multi-cloud Environments using the Skyline Service Algorithm

Intelligent decision-making support system for manufacturing solution recommendation in a cloud framework

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