A Study on “Role of Fuzzy Logic in Educational Assessment”

EasyChair Preprint 6840

Abstract

This paper surveys on Fuzzy logic development in Educational Assessment using classification and literature review over the last decade (2010-2020) to explore how various Fuzzy models developed and plays a major role in Educational Assessment. Based on selected journals on different Fuzzy logic applications, this article surveys on two different categories such as Students learning Assessment, Assessing students intelligence and skills. For each of these categories, this paper mentions brief future outline. This review study indicates mainly five types of future development directions for fuzzy logic methodologies, domains and article types:(1) fuzzy logic methodologies are tending to be developed toward expertise orientation.(2) Fuzzy logic concept is utilized for evaluating the trust. (3) The ability to perform accurate analysis  and learning capability is the driving power of Fuzzy logic methodologies and will be the key for future Educational Assessment.(4) Performance of the load frequency control may further be enhanced by implementing different intelligent control algorithms like Fuzzy-Genetic, Evolutionary algorithm and Adaptive Neuro Fuzzy Inference System (ANFIS). (5)  The fuzzy controller design can be optimized by using the optimization techniques such as Hybrid Genetic algorithm, Particle Swarm optimization, Ant colony and Bee colony techniques.

Keyphrases: Fuzzy Logic, approximate reasoning, educational assessment, fuzzy sets, supervised learning

@booklet{EasyChair:6840,
  author    = {B Rohan and Ettedi Akshay Reddy and R Barani and Boya Venkateswara Reddy and C.V. Suresh Babu},
  title     = {A Study on “Role of Fuzzy Logic in Educational Assessment”},
  howpublished = {EasyChair Preprint 6840},
  year      = {EasyChair, 2021}}