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A New Linguistic Petri Net for Complex Knowledge Representation and Reasoning
IEEE Transactions on Knowledge and Data Engineering, 2022Fuzzy Petri nets (FPNs) are a useful instrument for modelling expert systems to conduct knowledge representation and reasoning. Many studies have been carried out for improving the performance of FPNs in terms of their accurate representation of ...
Hu-chen Liu +3 more
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Configuration Knowledge Representation and Reasoning
, 2014Configuration models specify the set of possible configurations (solutions). A configuration model together with a defined set of (customer) requirements are the major elements of a configuration task (problem). In this chapter, we discuss different knowledge representations that can be used for the definition of a configuration model.
Lothar Hotz +5 more
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Grey Reasoning Petri Nets for Large Group Knowledge Representation and Reasoning
IEEE transactions on fuzzy systems, 2020In previous studies, fuzzy Petri nets (FPNs) have been used for knowledge representation and reasoning in various areas. However, the traditional FPNs have limited abilities in representing uncertain knowledge and conducting approximate reasoning when ...
Hu-chen Liu +3 more
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Pythagorean Fuzzy Petri Nets for Knowledge Representation and Reasoning in Large Group Context
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019Fuzzy Petri nets (FPNs) are a graphical-based knowledge representation and reasoning tool widely used in many fields for intelligent decision making. However, the traditional FPNs could not accurately represent domain experts’ uncertain and ambiguous ...
Hu-chen Liu +3 more
semanticscholar +1 more source
Non-classical logics for knowledge representation and reasoning [PDF]
Intelligenza Artificiale: The international journal of the AIxIA, 2011 We briefly outline our research activity, started in the 90s, in the field of non-classical logics. In particular, we describe our activity on the use of non-classical logics for knowledge representation and on proof methods for non-monotonic and conditional logics.
L. GIORDANO +4 more
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Model Libraries: Knowledge Representation and Reasoning
ORSA Journal on Computing, 1990We propose a knowledge representation and operators for large, diverse model libraries. The knowledge representation distinguishes between model types that are classes of models defined by a collection of assumptions and model templates and instances that instantiate model types through decomposition and specialization of components.
Mannino, Michael V. +2 more
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Temporal Knowledge Representation and Reasoning
2010The importance of dealing with temporal properties in knowledge representation and reasoning has attracted researchers’ attention for long. A number of temporal knowledge representation frameworks are proposed, however, few are implemented in practice. Since production system is a knowledge representation mechanism used by most knowledge based systems ...
Na Tang, Yong Tang, Lingkun Wu, Hui Ma
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Knowledge Representation in Artificial Intelligence using Domain Knowledge and Reasoning Mechanism
International journal of scientific engineering and research, 2017: There are few knowledge representation (KR) techniques available for efficiently representing knowledge. However, with the development in convolution, better methods are needed.
R. Soni, Neha Singh
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Language Representation and Knowledge Based Reasoning
2003From the algebraic point of view, any language represents some subset of words of a free monoid (Lalleman, 1979). Formally, the main problems of language representation and knowledge-based reasoning can be reduced to the limitations on a free monoid, and to those that also allow such words and sentences to be recognized (Salomaa, 1981). By their nature,
A. O. Tarakanov +2 more
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