Add to Book Shelf
Flag as Inappropriate
Email this Book

Proceedings of the First International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics

By Florentin Smarandache

Click here to view

Book Id: WPLBN0002097103
Format Type: PDF eBook:
File Size: 1.38 MB
Reproduction Date: 9/2/2011

Title: Proceedings of the First International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics  
Author: Florentin Smarandache
Volume:
Language: English
Subject: Non Fiction, Education, Smarandache Collections
Collections: Authors Community, Science
Historic
Publication Date:
Publisher: Xiquan Publishing House
Member Page: Florentin Smarandache

Citation

APA MLA Chicago

Smarandache, B. F. (n.d.). Proceedings of the First International Conference on Neutrosophy, Neutrosophic Logic, Neutrosophic Set, Neutrosophic Probability and Statistics. Retrieved from http://gutenberg.us/


Description
As an alternative to the existing logics we propose the Neutrosophic Logic to represent a mathematical model of uncertainty, vagueness, ambiguity, imprecision, undefined, unknown, incompleteness, inconsistency, redundancy, contradiction. It is a non-classical logic. Eksioglu (1999) explains some of them: “Imprecision of the human systems is due to the imperfection of knowledge that humain receives (observation) from the external world. Imperfection leads to a doubt about the value of a variable, a decision to be taken or a conclusion to be drawn for the actual system. The sources of uncertainty can be stochasticity (the case of intrinsic imperfection where a typical and single value does not exist), incomplete knowledge (ignorance of the totality, limited view on a system because of its complexity) or the acquisition errors (intrinsically imperfect observations, the quantitative errors in measures).”

 
 



Copyright © World Library Foundation. All rights reserved. eBooks from Project Gutenberg are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.