The present work focuses on three notions about spiking neural P systems (SN P systems),
namely normal forms, homogeneous systems, and software tools for easy access and visual …

This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy
Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a …

Imprecision and uncertainty in the alarm messages may significantly affect the accuracy and
reliability of substation fault diagnosis results. To deal with that, a new rough set-based bio …

Understanding and analyzing cascading failures in power grids have been the focus of
many researchers for years. However, the complex interactions among the large number of …

Dynamic multi-criteria decision making (DMCDM) is prevalent in real life, where the
evaluations are given sequentially across time and earlier evaluations will influence later …

The uncertain database retrieval with measure-based belief function attribute values can
resolve concerns of database retrieval and decision making, particularly in the …

Dempster-Shafer evidence theory can handle imprecise and unknown information, which
has attracted many people. In most cases, the mass function can be translated into the …

Tissue P systems with promoters provide nondeterministic parallel bioinspired devices that
evolve by the interchange of objects between regions, determined by the existence of some …

Dempster combination rule in evidence theory is widely used in data fusion system. One
assumption of Dempster combination rule is the independence among different evidences …

Pascal triangle (known as Yang Hui Triangle in Chinese) is an important model in
mathematics while the entropy has been heavily studied in physics or as uncertainty …