Possibility system has been recently recognized as a potential foundational theory for fuzzy
set theory though the concept of possibility originated from the membership function of fuzzy …

This article proposes a method to classify multiple maneuvering targets at the same time.
This task is a much harder problem than classifying a single target, as sensors do not know …

Firstly, a multiple model extension of the random finite set (RFS)-based single-target
Bayesian filtering (STBF), referred as MM-STBF, is presented to accommodate the possible …

This study considered the problem of multiple model estimation from the perspective of
sigma-max inference (probability-possibility inference), while focusing on discovering …

Randomness and fuzziness are two fundamental kinds of uncertain phenomena, which can
be handled respectively by probability theory (sigma system) and possibility theory (max …

This paper proposes a new solution to multi-target joint detection, tracking and classification
based on labeled random finite set (RFS) and belief function theory. A class dependent multi …

In this paper, we address the problem of multiple ground target tracking and classification
with information obtained from a unattended wireless sensor network. A multiple target …

This paper is to consider the problems of estimation and recognition from the perspective of
sigma-max inference (probability-possibility inference), with a focus on discovering whether …

Multi-target tracking using multiple sensors is an important research field in application
areas of mobile systems and military applications. This paper proposes a decentralized multi …

In this paper, we show how radar plot uncertainty can be included leading to a more robust
classification of targets observed by a rotating 2D radar. Targets far from the radar will have …