Journal Article10.1016/J.INS.2016.07.067
Multi-attribute search framework for optimizing extended belief rule-based systems
57
TL;DR: Based on the MaSF-based EBRB, the k-neighbor search and the best activated rule set algorithms are further proposed to find both the unique and the desired rules for each decision-making process without visiting the entire EbrB, especially when handling classification problems with large attribute datasets.
read more
About: This article is published in Information Sciences. The article was published on 20 Nov 2016. The article focuses on the topics: Rule-based system.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A data envelopment analysis (DEA)-based method for rule reduction in extended belief-rule-based systems
TL;DR: The concepts of contribution degree and the extended belief rule-based DMU are introduced in the present study for the first time to propose a DEA-based rule reduction method and demonstrate that the proposed rule reduction can downsize the EBRB and improve the accuracy of EBRBS.
50
A joint optimization method on parameter and structure for belief-rule-based systems
TL;DR: A heuristic strategy to optimized the structure of the BRB is proposed, which is followed by a parameter optimization method using the differential evolution (DE) algorithm, and a joint optimization method is introduced to optimize the parameters and structure of a BRB simultaneously.
49
Using IoT technology for computer-integrated manufacturing systems in the semiconductor industry
TL;DR: An Internet of Things (IoT) based Computer-Integrated Manufacturing (CIM) system used in Feature Advantage Benefit (FAB) is proposed, to incorporate deep learning method in the IoT system into the current CIM system to reveal the benefits in FAB.
49
A Micro-Extended Belief Rule-Based System for Big Data Multiclass Classification Problems
TL;DR: Comparisons of experimental studies demonstrate that the Micro-EBRBS not only can obtain a desired accuracy but also has the comparatively better time complexity and computing efficiency than some popular classifiers, especially for multiclass classification problems.
A consistency analysis-based rule activation method for extended belief-rule-based systems
TL;DR: By embedding the CABRA method, the EBRB system can overcome the problems of inconsistency and incompleteness and is treated as a generic rule activation method that can be available for other rule-based decision support systems.
43
References
•Book
Fuzzy sets
Lotfi A. Zadeh
- 01 Aug 1996
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
53.2K
•Book
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Judea Pearl
- 01 Jan 1988
TL;DR: Probabilistic Reasoning in Intelligent Systems as mentioned in this paper is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty, and provides a coherent explication of probability as a language for reasoning with partial belief.
17.6K
•Book
A mathematical theory of evidence
Glenn Shafer
- 01 Jan 1976
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.
14.6K
Multidimensional binary search trees used for associative searching
TL;DR: The multidimensional binary search tree (or k-d tree) as a data structure for storage of information to be retrieved by associative searches is developed and it is shown to be quite efficient in its storage requirements.
8.2K