Existing preference reasoning systems have been successful in simple domains. Broader success requires more natural and more expressive preference representations. This thesis develops a representation of logical preferences that combines numerical tradeoff ratios between partial outcome descriptions with qualitative preference information. We argue our system is unique among preference reasoni...

W present a multiattribute model called WholeSoldier Performance that measures the performance of junior enlisted soldiers in the U.S. Army; currently there is no formal performance appraisal system in place. The application is unique to decision analysis in that we utilize a common constructed scale and singledimensional value function for all attributes to match the natural framework of model...

It has long been tacitly assumed that perceivers spontaneously organize social information, such as traits and behaviors, into individualized person gestalts. The validity of this assumption was questioned in research by Ostrom and Pryorthat examined how perceivers organize information in multiperson, multiattribute perceptual fields (e.g., a party, a group discussion, or a criminal trial setti...

The new SOCRATES (ShOrtening CRiteria and ATtributES) method for reducing the dimensionality of attribute space is described. In this method, a large number initial numerical and/or verbal characteristics objects are aggregated into single integral index or several composite indicators with small scales qualitative estimates. Multiattribute represented as multisets object properties. aggregatio...

In this paper we provide a way to generate a class of weighted average operator from n-dimensional overlap functions and aggregation functions. These weighted average operators are used in an algorithm of a multiattribute group decision making problem based on decision matrix. An illustrative example is considered with the application of our method for two specific weighted average operators of...

In 2010, the Centers for Disease Control and Prevention began to develop an Influenza Risk Assessment Tool (IRAT) to methodically capture and assess information relating to influenza A viruses not currently circulating among humans. The IRAT uses a multiattribute, additive model to generate a summary risk score for each virus. Although the IRAT is not intended to predict the next pandemic influ...

The Star Plot approach to high-dimensional data visualization is applied to multiattribute dichotomies. It is observed that the areas of the plot for the two parts of a dichotomy may be used as an aggregate measure of their relative dominance. An optimization model is developed to determine a topology (or weighted configuration of the attributes) that maximizes the resolution of this measure wi...

In a recent paper, Yates and Jagacinski (1979) presented evidence for what was referred to as a "reference effect" in the process by which people evaluate multiattribute alternatives. Barton and John (1980) argue that it is inappropriate to characterize the observed phenomenon as a reference effect. We wish to take this opportunity to clarify what the issues are and what the data and analyses o...

We consider the problem of determining a most preferred path from a start node to a goal node set in an acyclic OR-graph, given a multiattribute preference function, a multiobjective reward structure, and heuristic information about this reward structure. We present an algorithm which is shown to terminate with a most preferred path, given an admissible heuristic set. The algorithm illustrates ...