A new approach to the rule-base evidential reasoning: Stock trading expert system application

Dymova, Ludmila; Sevastianov, P.; Bartosiewicz, Paweł

doi:10.1016/j.eswa.2010.02.056

Cited by 68 publications

(27 citation statements)

References 66 publications

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“…(1) The algorithm of computation of condition attributes' reductions Computation of condition attributes' reductions [8,9] has been proved to be a Non-deterministic Polynomial Complete problem. In order to improve the efficiency of knowledge acquisition, a lot of researches on approaches to compute reductions of condition attributes have focused on the approximate reduction of attributes.…”

Section: The Approach To Simplify Knowledge Representation Systemsmentioning

confidence: 99%

Research on the Approach of Knowledge Acquisition in Expert Systems based on Rough Sets Theory

Han¹

2015

Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

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Abstract. The research on expert systems has been a hotspot. In order to resolve the problems about knowledge acquisition in complete and incomplete knowledge representation systems, the algorithm of knowledge acquisition based on rough set theory is proposed. Let the knowledge representation system be a decision table, the useful knowledge can be obtained by simplification of the decision table. The algorithm of computation of condition attributes' reductions and the algorithm of computation of reduction of decision rule are researched to simplify the decision table. When there are missing values in knowledge representation systems, the missing data should be completed by the algorithm of missing values' completion firstly. This algorithm of knowledge acquisition based on rough set theory can obtain a minimal set of decision rules which can be used to reason in expert systems. The approach of knowledge acquisition can be used to simplify uncertain and incomplete knowledge representation systems.

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Section: The Approach To Simplify Knowledge Representation Systemsmentioning

confidence: 99%

Research on the Approach of Knowledge Acquisition in Expert Systems based on Rough Sets Theory

Han¹

2015

Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

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“…In our papers [6,7,18,19], we have developed the method based on the synthesis of fuzzy logic and the Dempster-Shafer theory (DST ), which was used to the solution of some real-world decision making problems.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to the Rule-Base Evidential Reasoning with Application

Sevastjanov

Dymova

Kaczmarek

2015

Artificial Intelligence and Soft Computing

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Abstract. In this paper, a new approach to the rule-base evidential reasoning (RBER) based on a new formulation of fuzzy rules is presented. We have shown that the traditional fuzzy logic rules lose an important information when dealing with the intersecting fuzzy classes, e.g., such as Low and Medium, and this property may lead to the controversial results. In the framework of our approach, an information of the values of all membership functions representing the intersecting (competing) fuzzy classes is preserved and used in the fuzzy logic rules. As RBER methods are based on the synthesis of fuzzy logic and the Dempster-Shafer theory of evidence (DST ), the problem of the combination of basic probability assignments (bpas) from different sources of evidence arises. The classical Dempster's rule of combination is usually used for this purpose. The classical Dempster's rule may provide controversial results in the case of great conflict and is not idempotent one. We show that the Dempster's rule may provide unreasonable results not only in the case of large conflict, but in the case of complete absence of conflict, too. At the end, we show that in the cases of small and large conflict, the use of simple averaging rule for combination of bpas seems to be a best choice. The developed approach is illustrated by the solution of simple, but real-world problem of diagnostics of type 2 diabetes.

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“…In recent years, RIMER has been successfully applied to the safety analysis of off-shore systems [22], pipeline leak detection [23][24][25], clinical decision support systems [26], stock trading expert systems [27] and delayed coking unit operation expert system [28]. It is more adaptable to data analysis and mining 14 for big-data.…”

Section: Off-line Multi-regional Intelligent Optimization Using the Rmentioning

confidence: 99%

RIMER and SA based thermal efficiency optimization for fired heaters

Gao

Lyu

et al. 2017

Fuel

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A new approach to the rule-base evidential reasoning: Stock trading expert system application

Cited by 68 publications

References 66 publications

Research on the Approach of Knowledge Acquisition in Expert Systems based on Rough Sets Theory

Research on the Approach of Knowledge Acquisition in Expert Systems based on Rough Sets Theory

A New Approach to the Rule-Base Evidential Reasoning with Application

RIMER and SA based thermal efficiency optimization for fired heaters

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