Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities

Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities

© 2015 Wiley Periodicals, Inc. Fuzzy techniques have been originally designed to describe imprecise ("fuzzy") expert knowledge. Somewhat surprisingly, fuzzy techniques have also been successfully used in situations without expert knowledge, when all we have is data. In this paper, we expla...

Full description

Saved in:
Bibliographic Details
Main Authors: Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
Format: Journal
Published: 2018
Subjects:
Computer Science
Mathematics
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84953421684&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55529
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-55529
record_format dspace
spelling th-cmuir.6653943832-555292018-09-05T03:06:30Z Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities Vladik Kreinovich Hung T. Nguyen Songsak Sriboonchitta Computer Science Mathematics © 2015 Wiley Periodicals, Inc. Fuzzy techniques have been originally designed to describe imprecise ("fuzzy") expert knowledge. Somewhat surprisingly, fuzzy techniques have also been successfully used in situations without expert knowledge, when all we have is data. In this paper, we explain this surprising phenomenon by showing that the need for optimal processing of data (including crisp data) naturally leads to fuzzy and neural data processing techniques. This result shows the potential of fuzzy data processing. To maximally utilize this potential, we need to provide an operational meaning of the corresponding fuzzy degrees. We show that such a meaning can be extracted from the above justification of fuzzy techniques. It turns out that, in contrast to probabilistic uncertainty, the natural operational meaning of fuzzy degrees is indirect - similarly to the operational meaning of geometry and physics in general relativity. 2018-09-05T02:57:36Z 2018-09-05T02:57:36Z 2016-03-01 Journal 1098111X 08848173 2-s2.0-84953421684 10.1002/int.21785 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84953421684&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55529
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Vladik Kreinovich
Hung T. Nguyen
Songsak Sriboonchitta
Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
description © 2015 Wiley Periodicals, Inc. Fuzzy techniques have been originally designed to describe imprecise ("fuzzy") expert knowledge. Somewhat surprisingly, fuzzy techniques have also been successfully used in situations without expert knowledge, when all we have is data. In this paper, we explain this surprising phenomenon by showing that the need for optimal processing of data (including crisp data) naturally leads to fuzzy and neural data processing techniques. This result shows the potential of fuzzy data processing. To maximally utilize this potential, we need to provide an operational meaning of the corresponding fuzzy degrees. We show that such a meaning can be extracted from the above justification of fuzzy techniques. It turns out that, in contrast to probabilistic uncertainty, the natural operational meaning of fuzzy degrees is indirect - similarly to the operational meaning of geometry and physics in general relativity.
format Journal
author Vladik Kreinovich
Hung T. Nguyen
Songsak Sriboonchitta
author_facet Vladik Kreinovich
Hung T. Nguyen
Songsak Sriboonchitta
author_sort Vladik Kreinovich
title Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
title_short Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
title_full Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
title_fullStr Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
title_full_unstemmed Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy beyond Experts and beyond Probabilities
title_sort need for data processing naturally leads to fuzzy logic (and neural networks): fuzzy beyond experts and beyond probabilities
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84953421684&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55529
_version_ 1681424522757013504

Similar Items