Rough sets: Visually discerning neurological functionality during thought processes

Rory Lewis, Chad A. Mello, Yanyan Zhuang, Martin K.C. Yeh, Yu Yan, Dan Gopstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The central aim of this paper is to test and illustrate the viability of utilizing Rough Set Theory to visualize neurological events that occur when a human is thinking very intensely to solve a problem or, conversely, solving a trivial problem with little to no effort. Since humans solve complex problems by leveraging synapses from a distributed neural network in the frontal and parietal lobe, which is a difficult portion of the brain to research, it has been a challenge for the neuroscience community to functionally measure how intensely a subject is thinking while trying to solve a problem. Herein, we present our research of optimizing machine intelligence to visually illustrate when members of our cohort experienced misunderstandings and challenges during periods where they read and comprehended short code snippets. This research is a continuation of the authors’ research efforts to use Rough Sets and artificial intelligence to deliver a system that will eventually visually illustrate deception.

Original languageEnglish (US)
Title of host publicationFoundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Proceedings
EditorsNathalie Japkowicz, George A. Papadopoulos, Michelangelo Ceci, Zbigniew W. Ras, Jiming Liu
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783030018504
StatePublished - 2018
Event24th International Symposium on Methodologies for Intelligent Systems, ISMIS 2018 - Limassol, Cyprus
Duration: Oct 29 2018Oct 31 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11177 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference24th International Symposium on Methodologies for Intelligent Systems, ISMIS 2018

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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