loading
A comparative study of belief and plausibility reducís in information systems with fuzzy decisions
2010 Edition, Volume 2, July 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Knowledge reduction is one of the main problems in the study of rough set theory. This paper deals with attribute reduction in complete information systems with fuzzy decisions. The concepts of lower approximation...

Belief and plausibility reducts in incomplete information systems with fuzzy decision
2012 Edition, Volume 1, July 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, the concept of incomplete information systems with fuzzy decision is introduced. Lower and upper approximations of fuzzy decision classes with respect to a conditional attribute subset are...

Attributes reduct and decision rules optimization based on maximal tolerance classification in incomplete information systems with fuzzy decisions
2010 Edition, Volume 21, December 1, 2010 - China Aerospace Science and Industry Corporation (CASIC)

A new approach to knowledge acquisition in incomplete information system with fuzzy decisions is proposed. In such incomplete information system, the universe of discourse is classified by the maximal tolerance classes,...

Characterization of Information Systems with Fuzzy and Intuitionistic Fuzzy Decision Attributes
2015 Edition, November 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In 2005, G.Ganesan et.al., introduced a group structure in rough fuzziness as well as intuitionistic rough fuzziness namely rough fuzzy group and intuitionistic rough fuzzy group. Later, in 2013 an approach of group structure...

Weighted Fuzzy Dempster-Shafer Framework for Multi-Modal Information Integration
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This study proposes an architecture based on a weighted fuzzy Dempster-Shafer framework (WFDSF), which can adjust weights associated with inconsistent evidence obtained by different classification approaches, to realize a fusion system for integrating...

Weighted Fuzzy Dempster–Shafer Framework for Multimodal Information Integration
2018 Edition, Volume 26, February 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This study proposes an architecture based on a weighted fuzzy Dempster-Shafer framework (WFDSF), which can adjust weights associated with inconsistent evidence obtained by different classification approaches, to realize a fusion system for integrating...

Fault diagnosis of micro energy grids using Bayesian belief network and adaptive neuro-fuzzy interference system
2017 Edition, August 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Safety assessment of complex systems such as micro energy grids has lately become an interesting open research field. In this article, fault diagnosis for a micro energy grid in the occurrence of incomplete data and expert knowledge is discussed....

Networked fuzzy belief rule-based system for spatiotemporal monitoring
2013 Edition, June 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper introduces a spatiotemporal data aggregation scheme using a novel networked fuzzy belief rule-based (NF-BRB) system. The proposed NF-BRB system is employed to design a decision support tool for relative water quality assessment...

Planning Water Resources Allocation Under Multiple Uncertainties Through a Generalized Fuzzy Two-Stage Stochastic Programming Method
2015 Edition, Volume 23, October 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this study, a generalized fuzzy two-stage stochastic programming (GFTSP) method is developed for planning water resources management systems under uncertainty. The developed GFTSP method can deal with uncertainties expressed as probability distributions,...

Knowledge acquisition to interval-valued fuzzy decision information systems based on inclusion measure
2013 Edition, Volume 01, July 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposes a general study of interval-valued fuzzy decision information systems by integrating fuzzy rough set theory with inclusion measure theory. By introducing a homogeneous inclusion measure between two...

Advertisement