A decade of surging bicycle use has attracted little research seeking to measure bicycle utility, infrastructure preferences, and the tension between transportation budgets versus the demands of cyclists, pedestrians, and motorists. A review of the literature shows only one study applying non-market valuation tools to study this issue and demographic surveys tracking gender, age, and income hav...

In this paper, we investigate group decision making problems with multiple types of linguistic preference relations. The paper has two parts with similar structures. In the first part, we transform the uncertain additive linguistic preference relations into the expected additive linguistic preference relations, and present a procedure for group decision making based on multiple types of additiv...

The attraction effect shows that adding a third alternative to a choice set can alter preference between the original two options. For over 30 years, this simple demonstration of context dependence has been taken as strong evidence against a class of parsimonious value-maximising models that evaluate alternatives independently from one another. Significantly, however, in previous demonstrations...

The main purpose of the paper is to examine whether and how perceived interactivity in a virtual brand community affects preference realize sustainable development brand. In this study, we propose empirically test theoretical model by analyzing data collected from online members China. study confirms that (1) has positive effect on social value, emotional informational value; (2) value positive...

Human choice behavior exhibits many paradoxical and challenging patterns. Traditional explanations focus on how values are represented, but little is known about how values are integrated. Here we outline a psychophysical task for value integration that can be used as a window on high-level, multiattribute decisions. Participants choose between alternative rapidly presented streams of numerical...

Computational methods for discovering the preferences of individuals are useful in many applications. In this paper, we propose a method for learning valued preference structures, using a natural extension of so-called pairwise classification. A valued preference structure can then be used in order to induce a ranking, that is a linear ordering of a given set of alternatives. This step is reali...

We develop the economist’s concept of value as opportunity cost and discuss the ways in which decisions imply values through revealed preference. We distinguish between the ideas of incremental and total value and argue that only the former is of importance in practical decision-making. The relationship between price and value is articulated and related to the distinction between public and pri...

Learning by imitation, among the most promising techniques for reinforcement learning in complex domains, critically depends on the human designer ability to provide sufficiently many demonstrations of satisfactory quality. The approach presented in this paper, referred to as DIVA (Direct Value Learning for Reinforcement Learning), aims at addressing both above limitations by exploiting simple ...