Journal ArticleDOI
Knowledge Acquisition and Representation Using Fuzzy Evidential Reasoning and Dynamic Adaptive Fuzzy Petri Nets
TLDR
A knowledge acquisition and representation approach using the fuzzy evidential reasoning approach and dynamic adaptive FPNs to solve the problems of domain experts' diversity experience and reason the rule-based knowledge more intelligently is presented.Abstract:
The two most important issues of expert systems are the acquisition of domain experts' professional knowledge and the representation and reasoning of the knowledge rules that have been identified. First, during expert knowledge acquisition processes, the domain expert panel often demonstrates different experience and knowledge from one another and produces different types of knowledge information such as complete and incomplete, precise and imprecise, and known and unknown because of its cross-functional and multidisciplinary nature. Second, as a promising tool for knowledge representation and reasoning, fuzzy Petri nets (FPNs) still suffer a couple of deficiencies. The parameters in current FPN models could not accurately represent the increasingly complex knowledge-based systems, and the rules in most existing knowledge inference frameworks could not be dynamically adjustable according to propositions' variation as human cognition and thinking. In this paper, we present a knowledge acquisition and representation approach using the fuzzy evidential reasoning approach and dynamic adaptive FPNs to solve the problems mentioned above. As is illustrated by the numerical example, the proposed approach can well capture experts' diversity experience, enhance the knowledge representation power, and reason the rule-based knowledge more intelligently.read more
Citations
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Journal ArticleDOI
Disassembly Sequence Optimization for Large-Scale Products With Multiresource Constraints Using Scatter Search and Petri Nets
TL;DR: Two scatter search algorithms with different combination operators, namely one with precedence preserved crossover combination operator and another with path-relink combination operator, are designed to solve the proposed model to model and optimize selective disassembly sequences subject to multiresource constraints to maximize disassembly profit.
Journal ArticleDOI
Fuzzy Failure Mode and Effects Analysis Using Fuzzy Evidential Reasoning and Belief Rule-Based Methodology
TL;DR: A new risk priority model for prioritizing failures in failure mode and effects analysis (FMEA) on the basis of fuzzy evidential reasoning (FER) and belief rule-based (BRB) methodology is proposed to resolve some of the shortcomings in fuzzy FMEA approaches.
Journal ArticleDOI
Evidence Combination From an Evolutionary Game Theory Perspective
TL;DR: Experimental results show that the proposed ECR can effectively suppress the counter-intuitive behaviors appeared in typical paradoxes of evidence theory, compared with many existing methods.
Journal ArticleDOI
Fuzzy Petri nets for knowledge representation and reasoning
TL;DR: This work presents an overview of the improved FPN theories and models from the perspectives of reasoning algorithms, knowledge representations and FPN models, and offers directions for future research to improve the FPN performance.
Journal ArticleDOI
An advanced fuzzy Bayesian-based FMEA approach for assessing maritime supply chain risks
TL;DR: In this paper, a fuzzy belief rule approach with Bayesian networks is proposed to assess the risk factors of maritime supply chains by incorporating fuzzy belief rules into a Bayesian network, which has the capability of improving result accuracy under a high uncertainty in risk data.
References
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A mathematical theory of evidence
TL;DR: This book develops an alternative to the additive set functions and the rule of conditioning of the Bayesian theory: set functions that need only be what Choquet called "monotone of order of infinity." and Dempster's rule for combining such set functions.
Journal ArticleDOI
The DLV system for knowledge representation and reasoning
Nicola Leone,Gerald Pfeifer,Wolfgang Faber,Thomas Eiter,Georg Gottlob,Simona Perri,Francesco Scarcello +6 more
TL;DR: The experimental results confirm the solidity of DLV and highlight its potential for emerging application areas like knowledge management and information integration, and the main international projects investigating the potential of the system for industrial exploitation are described.
Book ChapterDOI
On Indefinite Databases and the Closed World Assumption
TL;DR: Indefinite databases arise where, in general, the data consists of non-Horn clauses as discussed by the authors, i.e., a disjunction of literals in which more than one literal in the clause is positive.
Journal ArticleDOI
Knowledge representation using fuzzy Petri nets
TL;DR: A fuzzy Petri net model (FPN) is presented to represent the fuzzy production rule of a rule-based system in which a fuzzy productionrule describes the fuzzy relation between two propositions and an efficient algorithm is proposed to perform fuzzy reasoning automatically.
Journal ArticleDOI
Fuzzy Petri nets for rule-based decisionmaking
TL;DR: The technique of fuzzy reasoning by transformations of fuzzy truth state vectors by fuzzy matrices is extended to Petri nets, resulting in a novel type of neural network in which the transition bars serve as the neutrons, and the nodes are conditions.