Deferring problems of identification and representation types in a hierarchical database or the record types in a network database. Nonflat data models (e.g., hierarchies and networks) will require additional design steps to replace some fields with structural paths (pointers). The methodology has not yet been developed to the point of a detailed procedure. This paper describes the concepts on ...

Abstract We introduce a beam network model for hierarchically patterned materials. In these materials, load-parallel gaps intercept stress transmission in the load perpendicular direction such manner that damage is confined within nested, load-carrying ‘modules’. describe morphological characteristics of materials terms deterministically constructed, hierarchical (DHBN) models and randomized va...

This research tends to development of the requirements elicitation methodology with regard to operational nature and hierarchical analysis for complex systems and also, regarding available technologies. This methodology applies Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) to ensure traceability of planned qualitative and quantitative data from requirements to available te...

multi-criteria evaluation methods (mcem) have been widely used in the scientific arena as well as in urban and regional planning. the analytic network process (anp) is one the mcem that includes relevant tangible as well as intangible criteria and sub-criteria. it allows for a more complex relationship among the decision levels and attributes, as it does not require a strict hierarchical struct...

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Although several approaches have been developed for planning in nondeterministic domains, solving large planning problems is still quite difficult. In this work, we present a novel algorithm, called YoYo, for planning in nondeterministic domains under the assumption of full observability. This algorithm enables us to combine the power of search-control strategies as in Planning with Hierarchica...

In this paper we introduce a probabilistic relational framework for automated human behavior modeling. This is achieved by observing a human successfully achieving given goals. The proposed modeling algorithm uses commonsense background knowledge analytically to facilitate modeling of complicated human behavior. At the same time it is grounded in physical observations and takes noisy sensory da...

this paper analyzes the reaction of the 9th government with workers and capitalists using game theory. the type of game between three players is static with perfect information. strategy of the players is determined through the use of hierarchical processes and network analysis method. the equilibrium between these three players is the nash type of equilibrium. in the hierarchical and network a...

Loss Given Default (LGD) is the loss borne by the bank when a customer defaults on a loan. LGD for unsecured retail loans is often found difficult to model. In the frequentist (non-Bayesian) two-step approach, two separate regression models are estimated independently, which can be considered potentially problematic when trying to combine them to make predictions about LGD. The result is a poin...