Fuzzy Petri nets for knowledge representation and reasoning: A literature review
HC Liu, JX You, ZW Li, G Tian - Engineering Applications of Artificial …, 2017 - Elsevier
Abstract Fuzzy Petri nets (FPNs) are a potential modeling technique for knowledge
representation and reasoning of rule-based expert systems. To date, many studies have …
representation and reasoning of rule-based expert systems. To date, many studies have …
Fuzzy Petri nets and industrial applications: a review
Fuzzy Petri net (FPN) provides an extremely competent basis for the implementation of
computing reasoning processes and the modeling of systems with uncertainty. This paper …
computing reasoning processes and the modeling of systems with uncertainty. This paper …
[图书][B] Artificial intelligence and soft computing: behavioral and cognitive modeling of the human brain
A Konar - 2018 - taylorfrancis.com
With all the material available in the field of artificial intelligence (AI) and soft computing-
texts, monographs, and journal articles-there remains a serious gap in the literature. Until …
texts, monographs, and journal articles-there remains a serious gap in the literature. Until …
Possibility theory, probability theory and multiple-valued logics: A clarification
There has been a long-lasting misunderstanding in the literature of artificial intelligence and
uncertainty modeling, regarding the role of fuzzy set theory and many-valued logics. The …
uncertainty modeling, regarding the role of fuzzy set theory and many-valued logics. The …
Fuzzy reasoning Petri nets
M Gao, MC Zhou, X Huang, Z Wu - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
This paper presents a fuzzy reasoning Petri net (FRPN) model to represent a fuzzy
production rule-based system. The issues of how to represent and reason about rules …
production rule-based system. The issues of how to represent and reason about rules …
Weighted fuzzy reasoning using weighted fuzzy Petri nets
SM Chen - IEEE Transactions on Knowledge and Data …, 2002 - ieeexplore.ieee.org
This paper presents a Weighted Fuzzy Petri Net model (WFPN) and proposes a weighted
fuzzy reasoning algorithm for rule-based systems based on Weighted Fuzzy Petri Nets. The …
fuzzy reasoning algorithm for rule-based systems based on Weighted Fuzzy Petri Nets. The …
Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework
Since knowledge in an expert system is vague and modified frequently, expert systems are
fuzzy and dynamic. It is very important to design a dynamic knowledge inference framework …
fuzzy and dynamic. It is very important to design a dynamic knowledge inference framework …
[图书][B] Handbook of fuzzy computation
E Ruspini, P Bonissone, W Pedrycz - 2020 - books.google.com
This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …
Adaptive fuzzy Petri nets for dynamic knowledge representation and inference
X Li, F Lara-Rosano - Expert Systems with Applications, 2000 - Elsevier
Knowledge in some fields like Medicine, Science and Engineering is very dynamic because
of the continuous contributions of research and development. Therefore, it would be very …
of the continuous contributions of research and development. Therefore, it would be very …
Reasoning and unsupervised learning in a fuzzy cognitive map
A Konar, UK Chakraborty - Information Sciences, 2005 - Elsevier
This paper presents a new model for unsupervised learning and reasoning on a special type
of cognitive maps realized with Petri nets. The unsupervised learning process in the present …
of cognitive maps realized with Petri nets. The unsupervised learning process in the present …