Knowledge representation and reasoning using fuzzy Petri nets: a literature review and bibliometric analysis

Yu, Yang; Gong, Huaping; Liu, Hu‐Chen; Mou, Xun

doi:10.1007/s10462-022-10312-3

Cited by 23 publications

(3 citation statements)

References 96 publications

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“…We have a case of trans-disciplinarity, see, for instance [92,93], when dealing with problems and approaches aimed at the representation and management of knowledge. A specific case relates to approaches for knowledge representation and processing, such as in artificial intelligence (see, for instance, previous work [94]. A case is given by cognitive science when science studies itself.…”

Section: Trans-disciplinarity Of the Mssnmentioning

confidence: 99%

Linked Links. A Research Project: The Multiple Superimposed Soft Networks as Network Profiles

Minati

2024

Preprint

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This article, based on network science, aims to contribute to overcoming its geometric and technological phases. The novelty consists in considering links of networks as linked by superimposed networks, termed here multiple superimposed soft networks (MSSN), which is introduced as a research issue. Such links of links (termed here as passive links) concern, for instance, correspondences, incompatibilities, and temporal synchronizations between the occurrences of pairs of active links of effective networks, such as those based on electrical and telecommunication. A possible constitutive mechanism of such passive linkage consists of linkage representations for practices and histories of use expressed by their validating statistical reoccurrences. We consider the possible emergent nature of the passive linkage. The reason for introducing the design and usage of MSSN properties as a research issue involves making new approaches to profile and manage networks available. Correspondence between active linkage and MSSN properties should be a matter for an experiential, machine-learning approach. Research issues relate their possible usage on the active linkage such as for classification, comparations, detection of criticalities, diagnosis, performance evaluation, and regulatory as weak forces. Furthermore, the possible identification of standard corresponding configurations of passive and active linkage are finalized to avoid their establishment or, conversely, in facilitating their establishment and keeping their replication in different contexts (or partially and in combinations) and identifying related standardized approaches (also for classes of configurations having significant levels of equivalence). This research project has methodological generalizing aspects of trans-disciplinarity. We conclude by mentioning related research issues.

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Section: Trans-disciplinarity Of the Mssnmentioning

confidence: 99%

Linked Links. A Research Project: The Multiple Superimposed Soft Networks as Network Profiles

Minati

2024

Preprint

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“…Alamri et al, 2022;Edwita et al, 2017;ZareRavasan and Krčál, 2021) separately. Reviews that analyse combinations of these concepts, such as fuzzy ontologies (Qasim et al, 2020;Zhang et al, 2016), fuzzy logic for different types of systems (Yu et al, 2023;D'Aniello, 2023), are rarely found (see Table 1).…”

Section: Related Work and Reviewsmentioning

confidence: 99%

Ontology and Fuzzy Theory Application in Information Systems: A Bibliometric Analysis

Kalibatienė,

Miliauskaitė,

Slotkienė

2024

Informatica

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Ontologies are used to semantically enrich different types of information systems (IS), ensure a reasoning on their content and integrate heterogeneous IS at the semantical level. On the other hand, fuzzy theory is employed in IS for handling the uncertainty and fuzziness of their attributes, resulting in a fully fuzzy IS. As such, ontology- and fuzzy-based IS (i.e. ontology and fuzzy IS) are being developed. So, in this paper, we present a bibliometric analysis of the ontology and fuzzy IS concept to grasp its main ideas, and to increase its body of knowledge by providing a concept map for ontology and fuzzy IS. The main results obtained show that by adding ontologies and fuzzy theory to traditional ISs, they evolve into intelligent ISs capable of managing fuzzy and semantically rich (ontological) information and ensuring knowledge recognition in various fields of application. This bibliometric analysis would enable practitioners and researchers gain a comprehensive understanding of the ontology and fuzzy IS concept that they can eventually adopt for development of intelligent IS in their work.

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“…In the literature review related to FPNs [5], the authors selected 272 articles from 2000 to 2022 with the aim of creating a global picture of developments, focussed areas, and research trends. In this study, the topics of (a) 'genetic algorithm', 'risk assessment', and 'fault diagnosis' as hot studies and (b) 'expert system', 'knowledge representation', 'fault diagnosis', and 'fuzzy reasoning' as important research topics for future research directions were introduced.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy coloured petri nets‐based method to analyse and verify the functionality of software

Chavoshi,

Babamir

2023

CAAI Trans on Intel Tech

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Some types of software systems, like event‐based and non‐deterministic ones, are usually specified as rules so that we can analyse the system behaviour by drawing inferences from firing the rules. However, when the fuzzy rules are used for the specification of non‐deterministic behaviour and they contain a large number of variables, they constitute a complex form that is difficult to understand and infer. A solution is to visualise the system specification with the capability of automatic rule inference. In this study, by representing a high‐level system specification, the authors visualise rule representation and firing using fuzzy coloured Petri‐nets. Already, several fuzzy Petri‐nets‐based methods have been presented, but they either do not support a large number of rules and variables or do not consider significant cases like (a) the weight of the premise's propositions in the occurrence of the rule conclusion, (b) the weight of conclusion's proposition, (c) threshold values for premise and conclusion's propositions of the rule, and (d) the certainty factor (CF) for the rule or the conclusion's proposition. By considering cases (a)–(d), a wider variety of fuzzy rules are supported. The authors applied their model to the analysis of attacks against a part of a real secure water treatment system. In another real experiment, the authors applied the model to the two scenarios from their previous work and analysed the results.

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Knowledge representation and reasoning using fuzzy Petri nets: a literature review and bibliometric analysis

Cited by 23 publications

References 96 publications

Linked Links. A Research Project: The Multiple Superimposed Soft Networks as Network Profiles

Linked Links. A Research Project: The Multiple Superimposed Soft Networks as Network Profiles

Ontology and Fuzzy Theory Application in Information Systems: A Bibliometric Analysis

Fuzzy coloured petri nets‐based method to analyse and verify the functionality of software

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