Creating Petri Net domain models faces the same challenges that confront all knowledge-intensive AI performance systems: model specification, knowledge acquisition, and refinement. Thus, a fundamental question to investigate is the degree to which automation can be used. This paper formulates the learning task and presents the first machine learning method for Time Interval Petri Net (TIPN) dom...

Existing cell switched and packet switched transmission systems have difficulties to support real-time data transfer because the queuing characteristics and load variations in the network nodes are a handicap for it. With our interval-based transmission control method the data stream behavior is regulated in each network node and a data stream dependent time parameter adjustment is performed in...

it is firstly proved that the multi-input-single-output (miso) fuzzy systems based on interval-valued $r$- and $s$-implications can approximate any continuous function defined on a compact set to arbitrary accuracy.  a formula to compute the lower upper bounds on the number  of interval-valued fuzzy sets needed to achieve a pre-specified approximation  accuracy for an arbitrary multivariate con...

background: long wait time interval in emergency department (ed) of hospitals, from the patients’ point of view in ed is a major problem causing patients’ dissatisfaction and may result increasing in patient morbidity and indirectly nurses dissatisfaction. evaluation of wait time intervals in ed and giving nursing feedback may improve the quality of services, as well as patient satisfaction. th...

Although knowing the time of the occurrence of the earthquakes is vital and helpful, unfortunately it is still unpredictable. By the way there is an urgent need to find a method to foresee this catastrophic event. There are a lot of methods for forecasting the time of earthquake occurrence. Another method for predicting that is to know probability density function of time interval between earth...

data envelopment analysis (dea) is a method for measuring the relative efficiencies of a set of decision-making units (dmus) that use multiple inputs to produce multiple outputs. in this paper, we study the measurement of dmu performances in dea in situations where input and/or output values are given as imprecise data. by imprecise data we mean situations where we only know that the actual val...