Based on big data, decisions can increasingly be drawn from data-driven analytics and algorithmic decision support. However, it remains unclear whether recommendations issued by computer algorithms are equally accepted by individuals as human advices. This is particularly intriguing given that big data entails various forms of ambiguous decision situations in which individuals cannot assess the...

Ambiguity sets of probability distributions are used to hedge against uncertainty about the true probabilities uncertain inputs and random quantities interest (QoIs). When available, these am...

In this paper we suggest a behavioral approach to decision making under ambiguity based on the available information. A decision situation is characterized by a set of actions, a set of outcomes, and an information context represented by a data-set containing action-outcome pairs. Decision-makers express preferences over the choice of action in a particular information context. Data-sets contai...

The objective of this work is to compare the performance of three methods of ambiguity resolution: LSAST, LAMBDA, and FASF. To do this evaluation, the methods were implemented in software and data were collected using two dual frequency geodetic quality Trimble R8 GPS receivers in static situation and two Ashtech Z12 GPS receivers in kinematic situation. The data were processed using LSAST, LAM...

Modern portfolio theory is based on the relationship between risk and return and in this paper, specific uncertainty conditions are introduced as ambiguity which affects the asset pricing. Also, the relationship between risk, ambiguity and return is examined. First, ambiguity is estimated by the means of three-variable and main component method, trading volume, ask-bid spread, error of earnings...

Many men invest in their sisters’ children instead of their wives’. Existing theories addressing such behavior depend on the level of paternity probability in such men’s societies being implausibly low. I link this anthropologically observed investment behavior with the experimentally observed phenomenon that some individuals are ambiguity averse. Arguing that men’s decisions are made under amb...

This paper describes methods for the statistical analysis of quantitative data on the distribution of morphosyntactic features. A key problem is the large amount of ambiguity in automatically extracted data. In the paper, I argue for a conservative approach that treats ambiguous instances as counter-evidence. It is nonetheless possible to obtain detailed morphosyntactic information from the cor...

This dissertation is an investigation into how ambiguity should be classified for authors and readers of text, and how this process can be automated. Usually, authors and readers disambiguate ambiguity, either consciously or unconsciously. However, disambiguation is not always appropriate. For instance, a linguistic construction may be read differently by different people, with no consensus abo...

Abstract The researchers have been interested to explore the impact of personality traits on second or foreign language learning. The current study is an attempt to investigate whether there exists a statistically significant relationship between introvert and extrovert EFL learners’ willingness to communicate and ambiguity tolerance. To this end, a total of 150 EFL learners completed the Intro...