In this paper the concept of prob'abilistic events is introduced and their closure properties under the operations on the set of all fuzzy events are studied. I t is shown that the mean of probabilistie events is a probabilistie event and the set of all probabilistie events is closed under the transposition and the operation of the convex-combination. A sufficient conditioll for the union and t...

Underactuated biped robots control is one of the interesting topics in robotics. The main difficulties are its highly nonlinear dynamics, open-loop instability, and discrete event at the end of the gait. One of the methods to control underactuated systems is the partial feedback linearization, but it is not robust against uncertainties and disturbances that restrict its performance to control b...

Conventional fault tree analysis in safety analysis of complex engineering systems calculates the occurrence probability of the top undesired event using probabilistic failure rates. However, it is often very difficult to obtain those failure rates well in advance due to insufficient data, environment changing or new components. Fuzzy numbers can be applied to estimate failure rates by handling...

A unit has been designed which monitors newborn infants at risk of Sudden Infant Death Syndrome (SIDS) in a home environment. The unit monitors respiration, electrocardiogram (ECG) and haemoglobin oxygen saturation (SpO2), using an intelligent fuzzy logic algorithm to process the signals in order to detect any potentially life threatening event at an early stage. Provision is made for the gener...

In order to measure fuzzy event, credibility measure is proposed as a non-additive set function. In this paper, this concept is extended to fuzzy sets. First, a mean measure is defined by Lebesgue integral and some properties are investigated such as the monotonicity theorem, self-duality theorem and subadditivity theorem. Furthermore, by using Sugeno integral, an equilibrium measure is propose...

Iyad Batal et. al. in the paper ”Mining Recent Temporal Patterns for Event Detection in Multivariate Time Series Data” proposed a pattern mining approach for multivariate health data time series which is then used for classification and prediction of diseases. To extract the patterns, they assigned a fuzzy value in time intervals instead of numerical values for each variable. Then, they concate...

Decentralized supervisory control has been introduced to deal with a class of fuzzy discrete event systems (DES) in which state transitions are uncertain. In this paper, we develop the work on fuzzy DES to consider the reliable decentralized supervisor problem with possible failures of some local supervisors. By presenting a new definition of co-observable language, the reliable decentralized s...

We pursue two strategies for offline data collection for a temporal question answering system that uses both quantitative methods and fuzzy methods to reason about time and events. The first strategy extracts event descriptions from the structured year entries in the online encyclopedia Wikipedia, yielding clean quantitative temporal information about a range of events. The second strategy mine...

This paper presents a supervisory control system for humanoid robot motion planning. The proposed system is a supervisory structure formed by two hierarchical levels of a discrete event system. The high level system is represented by a Petri net. This Petri net behaves as a supervisor that indicates the sequence of motions that the robot has to make. A robot walking in a closed space forms the ...