Interval Valued Intuitionistic Fuzzy Evaluations for Analysis of a Student’s Knowledge in University e-Learning Courses

Kim, Taekyun; Sotirova, Evdokia; Shannon, A. G.; Atanassova, Vassia; Atanassov, Krassimir; Jang, Lee-Chae

doi:10.5391/ijfis.2018.18.3.190

Cited by 15 publications

(9 citation statements)

References 6 publications

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“…Equations (8)and (10) and (12) compare to the fuzzy function Max strategy, at first presented in fresh AHP strategy [15] Step 4: Compute the universal significance weight.…”

Section: Estimation Of Partners' Desiresmentioning

confidence: 99%

“…Specifically, it is key that students' desires and discernments are appropriately estimated and effectively comprehended and that, from the point of view of understudies, basic to superiority facility principles and sub-principles are appropriately recognized. Indeed, the last amount sought to be taken into the plan procedure to successfully bolster the leader in distinguishing reasonable ''Holes arranged'' service improvement arrangements [10] .…”

Section: Introductionmentioning

confidence: 99%

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Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa)

Al-Janabi

Kareem

Sagheer

2020

IJEECS

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<span>The consideration that the Iraqi community has concentrated on the training area has delivered another college responsibility routed to superiority viewpoints for all training connected facilities. In truth, a superiority arranged facility necessitates perfection in the structure and arranging of facility exercises, in addition to amid its conveying for the received facility execution assessment strategy. In any case, considering that facility execution assessments are profoundly founded on partners’ decisions, they can be described by conceivable vulnerabilities identified with deficiency for incomplete obliviousness, imprecision for subjectivity and even dubiousness. In this way, underneath these circumstances, temperamental outcomes can be acquired by broadly measured facility investigation strategies. This paper is a strategy dependent an ongoing augmentation of ServQual display and it utilizes a consolidated way of Fuzzy Set Theory of command process technique that is proposed to adequately deal with vulnerability in facility execution examinations. Specifically, Fuzzy Set Theory is measured to manage vulnerability, while AHP strategy is embraced as device to appraise the significance loads of key facility characteristics. In this way, the key investigation of the facility esteem tree identified with the program in University of Kufa is made by using the planned strategy. The completed facility examination permits the most impacting facility execution components to be caught and remarked. At last, acquired outcomes demonstrate that the teachers' view of facility quality definitively impacts by large facility execution level. </span>

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“…Equations (8)and (10) and (12) compare to the fuzzy function Max strategy, at first presented in fresh AHP strategy [15] Step 4: Compute the universal significance weight.…”

Section: Estimation Of Partners' Desiresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa)

Al-Janabi

Kareem

Sagheer

2020

IJEECS

View full text Add to dashboard Cite

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“…Hashemi et al [36] proposed the compromise ratio MAGDM model with IVIFNs. Kim et al [37] proposed the method for evaluating the students' knowledge obtained in the university e-learning courses with IVIFNs. Liu et al [38] defined the power MSM (Maclaurin symmetric mean) operator and the weighted power MSM operator with IVIFNs based on the traditional MSM operators [39][40][41].…”

Section: Introductionmentioning

confidence: 99%

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

Wei

et al. 2020

IJERPH

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With China’s sustained economic development and constant increase in national income, Chinese nationals’ tourism consumption rate increases. As a major Chinese economic development engine, the domestic tourism industry has entered a transition period operation pattern featured by diversified products. Among them, as a new hot spot of the tourism industry in China, ecological tourism has enjoyed rapid development, with great potential. Thus, the ecological value evaluation of forest ecological tourism demonstration areas is very important to the domestic tourism industry. In this paper, we propose some Dombi Heronian mean operators with interval-valued intuitionistic fuzzy numbers (IVIFNs). Then, two MADM (multiple attribute decision making) methods are proposed based on IVIFWDHM (interval-valued intuitionistic fuzzy weighted Dombi Heronian mean) and IVIFWDGHM (interval-valued intuitionistic weighted Dombi geometric Heronian mean) operators. Finally, we gave an experimental case for evaluating the ecological value of forest ecological tourism demonstration area to show the proposed decision methods.

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“…Mike Holmes et al in [14] presents design, development, and evaluation of COMPASS, that uses a novel descriptive analysis of learner behavior, image processing techniques, and artificial neural networks to model and classify authentic comprehension indicative non-verbal behavior. Taekyun Kim et al in [15] proposes Intuitionistic Fuzzy Logic Evaluations for the Analysis of a Student's Knowledge in University e-Learning Courses. Jaroslav Melesko et al in [16] proposes semantic clustering and artificial neural network (ANN) based learning analytics software agent for personalised adaptive multi-agent learning system based on learning styles model that requires the use of psychological questionnaire to determine student's learning styles.…”

Section: Introductionmentioning

confidence: 99%

I-OnAR: a rule-based machine learning approach for intelligent assessment in an online learning environment

Rodzman

Bakar

Choo

et al. 2020

IJEECS

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Intelligent systems are created to automate decision making process that is similar to human intelligence. Incorporating intelligent component has achieved promising results in many applications, including in education. Intelligence modules in a tutoring system would bring the application and its capability closer to a human's ability to serve its human users and to solve problems. However, the majority of the online learning provided in the literature review especially in Malaysia, normally only provide the lecture notes, assignments and tests and rarely suggest or give feedbacks on what the students should study or do next in order to fully understand the subjects. Hence, the researchers propose an online learning environment called Intelligent Online Assessment and Revision (I-OnAR). It facilitates the learning process at multiple learning phases such as test creation, materials revision, feedback for improvement and performance analysis. These components are incorporated into the tutoring system to assist self-pace learning at anytime and anywhere. The intelligent agent uses a Rule-based Machine Learning method for the adaptive capabilities such as automated test creation and feedbacks for improvement. The system has been tested on a group of students and found to be useful to support learning process. The results have shown that 60% of the subjects’ performance have improved with the help of the system. The students were given feedbacks on the topic they did poorly as well as how to improve their performance. This proves that the Intelligent Online Assessment and revision (I-OnAR) can be a useful tool to help online students intelligently, systematically and efficiently. For the future works, the researchers would like to apply the usage of other techniques such as Fuzzy Logic to strengthen the analysis and decision of the current system.

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Interval Valued Intuitionistic Fuzzy Evaluations for Analysis of a Student’s Knowledge in University e-Learning Courses

Cited by 15 publications

References 6 publications

Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa)

Dependable estimations for education quality using fuzzy logic based strategy a case study (University of Kufa)

Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas

I-OnAR: a rule-based machine learning approach for intelligent assessment in an online learning environment

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