Taking into account competitive markets, manufacturers attend more customer’s personalization. Accordingly, build-to-order systems have been given more attention in recent years. In these systems, the customer is a very important asset for us and has been paid less attention in the previous studies. This paper introduces a new build-to-order problem in the supply chain. This study focuses on bo...

The increasing rate of population growth in urban areas to find work or study and the high Basic Credit Interest Rates for Home Ownership Loans, choice renting a boarding house can be an alternative those who do not want stay long term. Implementation Decision Support System provide choices information system order assist community choosing place live such as house. One method is Multi Attribut...

Graph representation learning aims at mapping a graph into lower-dimensional feature space. Deep attributed representation, utilizing deep models on the structure and attributes, shows its significance in mining complex relational data. Most existing assume attributes single-attributed view. However, rich information real-world applications demands ability to handle multiple views. For example,...

In this paper, we develop a new distributed adaptive power control framework for multi-cell OFDM systems based on the game theory. A specific utility function is defined considering the users’ achieved average utility per power, i.e., power unit based utility. We solve the subcarrier allocation issue naturally as well as the power control. Each user tries to maximize its utility by adjusting th...

This thesis introduces a computational model of emotions and decisions for a robot, which interacts meaningfully in a social context. The decision making framework is based on multi-attribute utility theory, but it contains a dynamic and adaptive emotional model which basically acts as a preference and perception manipulator. The emotional model is based on event appraisal with discrete emotion...