We present a novel approach for practically tackling uncertainty in preference elicitation and predictive modeling to support complex multi-criteria decisions based on multi-attribute utility theory (MAUT). A simplified two-step elicitation procedure consisting of an online survey and face-to-face interviews is followed by an extensive uncertainty analysis. This covers uncertainty of the prefer...

With the increasing of the amount of the scientific papers, it is very important and difficult for paper-sharing platforms to recommend related papers accurately for users. This paper tackles the problem by proposing a method that models user historical behavior. Through collecting the operations on scientific papers of online users and carrying on the detailed analysis, we build preference mod...

This paper proposes a novel method for learning probability models of subcategorization preference of verbs. We consider the issues of case dependencies and noun class generalization in a uniform way by employing the maximum entropy modeling method. We also propose a new model selection algorithm which starts from the most general model and gradually examines more speci c models. In the experim...

Abstract This study aims to understand how Rwandan farmers value the improved characteristics of climate services introduced them in a choice experiment setting. Data were collected from 1,525 household heads November 2019. A random parameters logit model was used analyze data. Results suggest that forecast accuracy, dissemination through combination extension agents and Participatory Integrate...

Semantic Web services frameworks provide the means to automatically discover, rank, compose and invoke services according to user requirements and preferences. However, current preference models offer limited expressiveness and they are tightly coupled with underlying discovery and ranking mechanisms. Furthermore, these mechanisms present performance, interoperability and integration issues tha...

I provide a micro-foundation for dynamically incomplete contracts that are renegotiated over time. The micro-foundation is based on showing that such contracts implement the optimal complete contract in a general dynamic model provided the players have “preference-for-robustness.” Preference-for-robustness is a way of modeling players perpetually having a fuzzy idea as time passes about events ...

Preferences have been studied in philosophy, economics, psychology, and computer science and have a wide range of applications, such as e-commerce, recommender systems, decision support systems, and control of automated systems. A variety of methods have been proposed for modeling preferences. The one that I consider here is that of conditional preference networks (CP-nets). First studied by Bo...

Online TV streaming platforms are emerging markets. The assessment of customer-brand relations and brand experiences on these will be useful in developing, testing structural models, examining the indirect-direct effects loyalty. This study aims to determine experiences’ antecedents attitude, preference, loyalty terms online platforms. In addition, attempts provide a different perspective exper...