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A self-organizing computing network for decision-making in data sets with a diversity of data types
2006 Edition, Volume 18, July 1, 2006 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A self-organizing computing network based on concepts of fuzzy conditions, beliefs, probabilities, and neural networks is proposed for decision-making in intelligent systems which are required to handle data sets with a diversity...

A Novel Spatial Belief Rule-Based Intelligent Decision Support System
2013 Edition, October 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Real-world decision problems are usually associated with a certain geographical area, and therefore can and should be geographically referenced in most of cases. While traditional Decision Support Systems (DSSs) ignore the spatial...

A Novel Spatial Belief Rule-Based Intelligent Decision Support System
2013 Edition, October 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Real-world decision problems are usually associated with a certain geographical area, and therefore can and should be geographically referenced in most of cases. While traditional Decision Support Systems (DSSs) ignore the spatial...

Rough set model in incomplete and fuzzy decision information system based on improved-tolerance relation
2005 Edition, Volume 1, January 1, 2005 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The topical rough set theory is a forceful tool to handle the complete information system, and its effect to process incomplete information system is poor, particularly, its function to combine the incomplete information system with...

Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling
2018 Edition, Volume 48, September 1, 2018 - 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...

Age of Information Upon Decisions
2018 Edition, September 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We consider an M/M/1 update-and-decide system where Poisson distributed decisions are made based on the received updates. We propose to characterize the freshness of the received updates at decision epochs with Age upon Decisions (AuD). Under the...

Computing with Comparative Linguistic Expressions and Symbolic Translation for Decision Making: ELICIT Information
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Many real-world decision making problems present changing contexts in which uncertainty or vagueness appear. Such uncertainty has been often modeled based on linguistic information by using single linguistic terms. Dealing with linguistic information in...

A comparative study of fuzzy and conventional criteria in model-based predictive control
1997 Edition, Volume 2, January 1, 1997 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Fuzzy predictive control integrates conventional model-based predictive control with techniques from fuzzy multicriteria decision making, and translates the goals and the constraints to predictive control in a transparent way. The...

Monotone Interval Fuzzy Inference Systems
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we introduce the notion of a monotone fuzzy partition, which is useful for constructing a monotone zero-order Takagi-Sugeno-Kang Fuzzy Inference System (ZOTSK-FIS). It is known that a monotone ZOTSK-FIS model can always be...

A Method Determining the Objective Weights of Experts Based on Evidence Similarity in Group Decision-Making
2008 Edition, October 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Dempster-Shafer theory of evidence is used to quantify uncertainty in terms of the uncertain measures of belief and plausibility. It can better handle the synthesis of fuzzy and uncertain information. So it can deal...

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