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Fruit-Fly Optimization Algorithm for Disability-Specific Teaching Based on Interval Trapezoidal Type-2 Fuzzy Numbers

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  • Deepak Aeloor

    (St. John College of Engineering and Management, Palghar, India)

Abstract

Student-centric learning methodology is vital in handling specific learning disabilities (SLD) that spotlight students for the teaching-learning process, improve the effectiveness of the learning and respond to the student's need. The educational psychologist with diverse skills diagnoses a SLD in different ways which contribute to decision-making. As a result, the deviation between each decision maker matrix has to be lowered to find the optimal weights. The proposed model develops the fruit fly optimization algorithm (FOA) based on the interval trapezoidal type-2 fuzzy number (ITrT2FN). Since the problem is multi-attribute decision making, the proposal was for a group decision-making model based on ITrT2FNs and a multi-attributive border approximation area comparison method. The model helps to ease the decision making related to the type of teaching-learning methodologies to be followed for a student with SLD. The model is tested with a ten attribute SLD problem, and a comparative study is made to measure the efficiency of the FOA.

Suggested Citation

  • Deepak Aeloor, 2020. "Fruit-Fly Optimization Algorithm for Disability-Specific Teaching Based on Interval Trapezoidal Type-2 Fuzzy Numbers," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 9(1), pages 35-63, January.
    • Handle: RePEc:igg:jfsa00:v:9:y:2020:i:1:p:35-63
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