Adaptive Interval Trapezoid Fuzzy Number for Recommendation Systems E-Learning

Abstract

This research aims to develop decision making models for Multi Criteria Decision Making (MCDM) with Adaptive Interval Fuzzy Analytic Hierarchy Process (AIVFAHP) and Adaptive Interval Fuzzy Technique for Order Preference of Similarity Ideal Solution (AIVFTOPSIS) integration methods by constructing a decision-making model using trapezoid fuzzy number. The strength of the AIVFAHP method is to consult the value of logical consistency in the assessment. This logical consistency is to calculate the assessor and determine the costs in multi-criteria decision making. AIVFTOPSIS is based on the principle that the chosen alternative should be close to a positive ideal solution and far from the ideal solution. Contribution of this research is to conduct a research of decision making with Adaptive Interval Value Fuzzy Multi Criteria Decision Making (AIVFMCDM) and to improve interval points by modifying the midpoint and degree on the trapezoid fuzzy number function. This modeling provides more accurate, more effective linguistic representation and flexible in determining the point of the interval for optimal results. The research produced a new decision-making model based on the Adaptive Interval Trapezoid Fuzzy Number (AIVTFN) and recommendations for improvement of e-learning indicators.