The present article involves in evaluation and engineering judgment of various geometric configurations for highway interchanges by considering substantial parameters over the discretion process. The geometric, economical and architectural criteria as the fundamental indicators are divided into related sub-indicators and the total combinations of such sub-elements from the general criterion for...

Decision making must be made within an appropriate context; we contend that such context is best represented by a hierarchy of states. The lowest levels of this hierarchy represent the observed raw data, or specific low-level behaviors and decisions. As we ascend the hierarchy, the states become increasingly abstract, representing higher order tactics, strategies, and over-arching mission goals...

evidence from the early and late industrializes shows that technology, as the commercial application of scientific knowledge, has been a major driver of industrial and economic development. international technology transfer is now being recognized as having played an important role in the development of the most successful late industrializes of the second half of the 20th century. our society ...

abstract: although all university majors are prominent and the necessity of their presences is of no question, they might not have the same priority basis considering different resources and strategies that could be spotted for a country. this paper focuses on clustering and ranking university majors in iran. to do so, a model is presented to clarify the procedure. eight different criteria are ...

Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover decision tables that are overall less complex than the initial one, potentially easier to interpret, and introduce new and meaningful intermediate concepts. Since an exhaustive search for an optimal hierarchy of decisio...

We propose a simple analytical model called M time-scale Markov Decision Process (MMDP) for hierarchically structured sequential decision making processes, where decisions in each level in the M -level hierarchy are made in M different time-scales. In this model, the state space and the action space of each level in the hierarchy are non-overlapping with those of the other levels, respectively,...