Statistical selection procedures are used to select the best simulated system from a finite set of alternatives. In this paper, we present a procedure that can be used to select the best system when the number of alternatives is large. The proposed procedure consists a combination between Ranking and Selection, and Ordinal Optimization procedures. In order to improve the performance of Ordinal ...

Software selection research has so far mainly focused on corporations and often assumed a rational evaluation of selection criteria. Research on consumers’ software selection is still scarce. However, findings from outside IS indicate that consumers’ software selection decisions might be biased by the choice alternatives among which software is selected. In an experiment, this study investigate...

Word selection allows us to choose words during language production. This is often viewed as a competitive process wherein a lexical representation is retrieved among semantically-related alternatives. The left prefrontal cortex (LPFC) is thought to help overcome competition for word selection through top-down control. However, whether the LPFC is always necessary for word selection remains unc...

in this paper has been used a new integrated method of fuzzy topsis and zero-one integer linear programming for location selection of bahman group company facilities and manufacturing stations of affairs. selected criteria and constraints are dividing to the explicit and implicit categories. candidate alternatives have been selected from current and useable points of company. the first criteria...

* Abstract problems of Location Selection. Although no list can be considered exhaustive, Moore’s [1] enunciation of criteria still appears pertinent and can be considered as a fundamental basis for selection. Table 1 encapsulates some common criteria for selection. This paper uses the well-established Fuzzy C-Means Clustering Algorithm for suggesting a heuristic that effectively zeroes down up...

Many decision-making situations involve preferential selection among some finite set of alternative items or events or courses of action. For a land manager, the list of alternatives might contain possible timber harvest levels, inventory and monitoring activities, or watershed analyses. Under ideal circumstances, there might be some intuitive measurement scale (e.g., cost) that a manager could...

The criterion—dependent choice model (Aschenbrenner, Albert & Schmalhofer, 1984) assumes that choice between two multidimensionally described alternatives is a sequential comparison process. The decision maker is assumed to select one dimension at a time and to compare the alternatives standings on this dimension according to attractiveness. The resulting value differences are accumulated over ...

Most of the available methods for selection of input-output pairings for decentralized control require evaluation of all alternatives to find the optimal pairings. As the number of alternatives grows rapidly with process dimensions, pairing selection through an exhaustive search can be computationally forbidding for large-scale processes. Furthermore, the different criteria can be conflicting n...

A desire to increase automation or to eliminate the use of mercury has prompted several ASTM committees to consider alternatives to ASTM Liquid-in-Glass (LiG) thermometers. In this paper, we address the technical issues of choosing an alternative. We first discuss the basic properties and relative merits of platinum resistance thermometers, thermistors, and thermocouples in the context of repla...

Information-theoretic alternatives to general method of moments (GMM) use over-identifying moments to estimate the data-generating distribution jointly with the parameters of interest. This paper demonstrates how these estimates can be interpreted when the sample is not a random draw from the population of interest. I make explicit the selection probability implied by the empirical likelihood a...