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Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Nonlinear complex system modeling has drawn attention from diverse fields and many approaches have been developed. Among those approaches, the advantages of the belief rule base (BRB) expert system have been shown for managing multiple types of...

A Survey of Belief Rule-Base Expert System
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The belief rule-base (BRB) model is a new intelligent expert system with the characteristics of both expert system and data-driven model. In BRB there are many if-then rules which use belief degrees to express various types of...

Neural Correlates of Belief
2018 Edition, November 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Much of the degeneration of the human condition is attributed to religion. As we move in the midst of the twenty first century, enjoying the cornucopia lent by technological and scientific advancements, one thing that is being widely believed to retard us is...

Coping with Uncertainty in Expert Systems: A Comparative Study
1983 Edition, June 1, 1983 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper suggests a way to represent the uncertainty of evidence in expert systems. It is proposed that the degree of certainty will be represented by a fuzzy interval rather than a scaler. The degree of necessity represents the lower...

The belief and plausibility functions of incomplete fuzzy covering systems
2011 Edition, November 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper studies the definition and properties of the belief and plausibility functions of incomplete fuzzy covering systems based on the evidence theory. A novel pair of belief and plausibility...

A New Aggregation Method-based Error Analysis for Decision-theoretic Rough Sets and Its Application in Hesitant Fuzzy Information Systems
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Decision-theoretic rough sets (DTRSs) capture the decision semantics and can deduce three-way decisions with respect to the minimum expected risk. Considering the new evaluation format of hesitant fuzzy sets (HFSs), we extend the range of...

A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In decision-making problem, fuzzy system is considered as an effective tool with access to uncertain information by fuzzy representations. However, difficulties and challenges in accessing, evaluating and processing...

An evidential aggregation method of intuitionistic fuzzy sets based on belief entropy
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Intuitionistic fuzzy sets (IFS) is essential in multi-criteria decision making (MCDM) under uncertain environment. However, how to reasonbly aggregate them with considering the uncertainty contained in IFSs is still an open issue. In this paper, a...

Attribute reduction methods based on Pythagorean fuzzy covering information systems
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

By introducing covering rough sets to Pythagorean fuzzy environment, we construct a new rough set model called the Pythagorean fuzzy λ-covering rough set. Based on the rough set model, we adopt the discernibility matrix method to obtain its attribute reduction. First, we give...

BPEC: Belief-Peaks Evidential Clustering
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper introduces a new evidential clustering method based on the notion of "belief peaks" in the framework of belief functions. The basic idea is that all data objects in the neighborhood of each sample provide pieces of evidence...

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