Uncertainty type two is a term coined by Madan M. Gupta for information or phenomena that arise from human perception and cognitive processes or from cognitive information in general. This subject has received relatively little attention. Perception and cognition through biological sensors (eyes, ears, nose, etc.), perception of pain, and other similar biological events throughout our nervous system and neural networks deserve special attention. The perception and cognition phenomena associated with these processes are characterized by many great uncertainties and cannot be described by conventional statistical theory. A person can linguistically express perceptions experienced through the senses, but these perceptions cannot be described using conventional statistical theory. Fuzzy logic has proven to be a very promising tool for dealing with uncertainty type two.
Published in Chapter:
Fuzzy Logic Theory and Applications in Uncertainty Management of Linguistic Evaluations for Students
Ashu M. G. Solo (Maverick Trailblazers Inc., USA) and Madan M. Gupta (University of Saskatchewan, Canada)
Copyright: © 2022
|Pages: 24
DOI: 10.4018/978-1-7998-6878-1.ch013
Abstract
Fuzzy logic can deal with information arising from perception and cognition that is uncertain, imprecise, vague, partially true, or without sharp boundaries. Fuzzy logic can be used for assigning linguistic grades and for decision making and data mining with those linguistic grades by teachers, instructors, and professors. Many aspects of fuzzy logic including fuzzy sets, linguistic variables, fuzzy rules, fuzzy math, fuzzy database queries, computational theory of perceptions, and computing with words are useful in uncertainty management of linguistic evaluations for students. This chapter provides many examples of this after describing the theory of fuzzy logic.