scholarly journals E-LEARNING FOR HEALTH ISSUES BASED ON RULE-BASED REASONING AND MULTI-CRITERIA DECISION MAKING

2007 ◽  
Keyword(s):  
Decision Making ◽  
Multi Criteria Decision Making ◽  
Health Issues ◽  
Rule Based ◽  
E Learning

scholarly journals Knowledge and integrated data management model for personalized intercropping in rubber plantation

2019 ◽  
Vol 9 (6) ◽  
pp. 5502
Author(s):  
Kornkanok Phoksawat ◽  
Massudi Mahmuddin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Data Management ◽  
Management Model ◽  
Rubber Plantation ◽  
Multi Criteria Decision Making ◽  
Multi Objective Optimization ◽  
Rule Based ◽  
Rubber Plantations ◽  
Minimum Costs

Selection and allocation of space for intercropping in rubber plantations to maximize yield and minimum costs for individual farmers involves Multi-Criteria Decision Making (MCDM) and several conditions.  The problem is that the information is scattered in many related agencies, there are separate stores and some data is redundant. In addition, the format of the data varies depending on the purpose of the data. The knowledge of selecting plants to grow in the rubber plantation is the tacit knowledge acquired from the experience of successful farmers in rubber plantations and from agricultural experts. Therefore, this research involves an Integrated Ontology-based knowledge and Multi-Objective Optimization model for intercropping Decision Support Systems (DSS). This article presents the knowledge and integrated data management model for developing the Intercropping in Rubber Plantations Ontology by using the Triangulation in the method to verify the accuracy of the data and results.  Moreover, propose ways to create recommendation rules that are easy to rule update and maintenance.  Using an ontology for DSS helps to recommended plants according to the appropriate environment of the farmer area by rule-based inference to represent logical reasoning.  It could also be applied to another domain that requires Intelligent DSS for MCDM.

scholarly journals E-Learning Platform Assessment and Selection Using Two-Stage Multi-Criteria Decision-Making Approach with Grey Theory: A Case Study in Vietnam

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3136
Author(s):  
Pham Ngoc Toan ◽  
Thanh-Tuan Dang ◽  
Le Thi Thu Hong
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Integrated Approach ◽  
Grey Theory ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Digital Platforms ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning

Education has changed dramatically due to the severe global pandemic COVID-19, with the phenomenal growth of e-learning, whereby teaching is undertaken remotely and on digital platforms. E-learning is revolutionizing education systems, as it remains the only option during the ongoing crisis and has tremendous potential to fulfill instructional plans and safeguard students’ learning rights. The selection of e-learning platforms is a multi-criteria decision-making (MCDM) problem. Expert analyses over numerous criteria and alternatives are usually linguistic terms, which can be represented through grey numbers. This article proposes an integrated approach of grey analytic hierarchy process (G-AHP) and grey technique for order preference by similarity to ideal solution (G-TOPSIS) to evaluate the best e-learning website for network teaching. This introduced approach handles the linguistic evaluation of experts based on grey systems theory, estimates the relative importance of evaluation criteria with the G-AHP method, and acquires e-learning websites’ ranking utilizing G-TOPSIS. The applicability and superiority of the presented method are illustrated through a practical e-learning website selection case in Vietnam. From G-AHP analysis, educational level, price, right and understandable content, complete content, and up-to-date were found as the most impactful criteria. From G-TOPSIS, Edumall is the best platform. Comparisons are conducted with other MCDM methods; the priority orders of the best websites are similar, indicating the robust proposed methodology. The proposed integrated model in this study supports the stakeholders in selecting the most effective e-learning environments and could be a reference for further development of e-learning teaching-learning systems.

Multi-criteria decision making approach in E-learning: A systematic review and classification

2016 ◽  
Vol 45 ◽  
pp. 108-128 ◽  
Author(s):  
Mojtaba Zare ◽  
Christina Pahl ◽  
Hamed Rahnama ◽  
Mehrbakhsh Nilashi ◽  
Abbas Mardani ◽  
...  
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Multi Criteria Decision Making ◽  
E Learning

scholarly journals Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0231465 ◽  
Author(s):  
Quadri Noorulhasan Naveed ◽  
Mohamed Rafik Noor Qureshi ◽  
Nasser Tairan ◽  
AbdulHafeez Mohammad ◽  
Asadullah Shaikh ◽  
...  
Keyword(s):  
Decision Making ◽  
Critical Success Factors ◽  
Success Factors ◽  
Learning System ◽  
Multi Criteria Decision Making ◽  
Critical Success ◽  
E Learning
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