Indu : an Interval & Duration Network
نویسندگان
چکیده
The signiicance of representing duration information along with the qualitative information of the time intervals is well argued in the literature. A new framework INDU (INterval and DUration) network consisting of 25 basic relations, is proposed here. INDU can handle qualitative information of time interval and duration in one single structure. It inherits many interesting properties of Allen's Interval Algebra (of 13 basic relations) but it also exhibits several interesting additional features. We present several representations of INDU (ORD-clause, Geometric and Lattice) and characterise its tractable subclasses such as the Convex and Pre-convex classes. The important contribution of the current study is to show that for the tractable subclasses (Convex as well as Pre-convex) 4-consistency is necessary to guarantee global consistency of INDU-network .
منابع مشابه
Maximality of Pre Convex Class in Indu
The importance of modelling duration information with other temporal information has been well argued in the literature of Temporal Constraint Network. All the earlier formulations to model qualitative information are bi-network basedone network for time point and another for the duration. Recently, a new temporal constaint network[in Norman Foo (ed.) LNCS, 1747, pp 291-303, 1999] Interval Dura...
متن کاملAn Algorithm to Obtain Possibly Critical Paths in Imprecise Project Networks
We consider criticality in project networks having imprecise activity duration times. It is well known that finding all possibly critical paths of an imprecise project network is an NP-hard problem. Here, based on a method for finding critical paths of crisp networks by using only the forward recursion of critical path method, for the first time an algorithm is proposed which can find all pos...
متن کاملA Neural Network-PSO Based Control for Brushless DC Motors for Minimizing Commutation Torque Ripple
This paper presents the method of reducing torque ripple of brushless DC (BLDC) motor. The commutation torque ripple is reduced by control of the DC link voltage during the commutation time. The magnitude of voltage and commutation time is estimated by a neural network and optimized with an optimization method named particle swarm optimization (PSO) algorithm analysis. The goal of optimizati...
متن کاملالگوریتم جدیدی برای تحلیل حساسیت مسیر بحرانی در شبکه های پرت با درنظر گرفتن ریسک های موجود در پروژه
Taking into account, the uncertain time duration for each activity in a pert network, we would need to accept the notion that the critical path of the project could also vary a number of times during its execution. If these variations take place frequently during the project in an unpredictable manner, it could endanger the efficient management of that project, and in addition to lengthening th...
متن کاملInterval network data envelopment analysis model for classification of investment companies in the presence of uncertain data
The main purpose of this paper is to propose an approach for performance measurement, classification and ranking the investment companies (ICs) by considering internal structure and uncertainty. In order to reach this goal, the interval network data envelopment analysis (INDEA) models are extended. This model is capable to model two-stage efficiency with intermediate measures i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000