Artificial Intelligence: Fuzzy Logic

Classical logic only permits conclusions which are either true or false. However, there are also propositions with variable answers, such as one might find when asking a group of people to identify a color. In such instances, the truth appears as the result of reasoning from inexact or partial knowledge in which the sampled answers are mapped on a spectrum. Humans and animals often operate using fuzzy evaluations in many everyday situations. In the case where someone is tossing an object into a container from a distance, the person does not compute exact values for the object weight, density, distance, direction, container height and width, and air resistance to determine the force and angle to toss the object. Instead the person instinctively applies quick "fuzzy" estimates, based upon previous experience, to determine what output values of force, direction and vertical angle to use to make the toss.

• | Author: Lynwood Keeran
• | Publisher: CreateSpace Independent Publishing Platform
• | Publication Date: Feb 04, 2017
• | Number of Pages: 162 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1542925673
• | ISBN-13: 9781542925679