In decision making, consistency in fuzzy preference relations is associated with the study of transitivity property. While using additive consistency property to complete incomplete preference relations, the preference values found may lie outside the interval [0, 1] or the resultant relation may itself be inconsistent. This paper proposes a method that avoids inconsistency and completes an inc...

In the problem of …nding an e¢ cient allocation when agents’utilities are privately known, we examine the e¤ect of restricting attention to mechanisms using “demand queries,” which ask agents to report an optimal allocation given a price list. We construct a combinatorial allocation problem with m items and two agents whose valuations lie in a certain class, such that (i) e¢ ciency can be obtai...

In this paper we summarize some results on constructing preference relations from criterion values, in the framework of multiple criteria decision making. First we recall two types of methods to build a comprehensive preference model. Then we show how to construct crisp and fuzzy preferences from criterion evaluations.

Leisure travel has become a topic of great interest to Taiwanese residents in recent years. Most residents expect to be able to relax on a vacation during the holidays; however, the complicated procedure of travel itinerary planning is often discouraging and leads them to abandon the idea of traveling. In this paper, we design an automatic travel itinerary planning system for the domestic area ...

Weighted aggregation of fuzzy preference relations on the set of alternatives by several criteria in decision-making problems is considered. Pairwise comparisons with respect to importance of the criteria are given in fuzzy preference relation as well. The aggregation procedure uses the composition between each two relations of the alternatives. The membership function of the newly constructed ...

Although there is existing work on learning user preferences in various systems, the outputs of such systems tend to be confusing to users. Studies of users interacting with such systems show that when the system incorrectly predicts a user's preference, the user may attempt to correct the views of the system (for instance, by randomly providing more training examples). In many cases, however, ...

The study investigates learning patterns during goal-directed preference formation. A longitudinal experiment examines formation of attribute importance judgments in the context of contingency relations between a stable consumer goal and alternative product attributes. The results suggest the learning curve in consumers’ attribute importance judgments can be analyzed using nested models to reve...

Conversational recommenders can help users find their most preferred item among a large range of options, a task that we call preference-based search. Motivated by studies in the field of behavioral decision theory, we take a user centric design perspective, focusing on the trade-off between decision accuracy and user effort. We consider example-critiquing, a methodology based on showing exampl...

We consider how to combine the preferences of multiple agents despite the presence of incompleteness and incomparability in their preference orderings. An agent’s preference ordering may be incomplete because, for example, there is an ongoing preference elicitation process. It may also contain incomparability, which can be useful, for example, in multi-criteria scenarios. We focus on the proble...

We demonstrate how supervised discriminative machine learning techniques can be used to automate the assessment of ‘English as a Second or Other Language’ (ESOL) examination scripts. In particular, we use rank preference learning to explicitly model the grade relationships between scripts. A number of different features are extracted and ablation tests are used to investigate their contribution...