In this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. We first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. Then we propose two mean-absolute deviation models by defining risk as abs...

The development of intelligent environments requires handling of data perceived from users, received from environments and gathered from objects. Such data is often used to implement machine learning tasks in order to predict actions or to anticipate needs and wills, as well as to provide additional context in applications. Thus, it is often needed to perform operations upon collected data, suc...

Introduction: Diagnosis, prediction and control of oral lesions is usually done classically based on clinical signs and histopathologic features. Due to lack of timely diagnosis in all conventional methods or differential diagnosis, biopsy of patient is needed. Therefore, the patient might be irritated. So, an intelligent method for quick and accurate diagnosis would be crucial. Intelligent sys...

Groundwater contamination by nitrate is a globally growing problem due to the population growth and increase of demand for food supplies.Increasing nitrate concentrations in soil solution and leaching into the ground water table cause water pollution and disturbs the ecological balance. In addition to natural nitrogen cycle, nitrate can be entered to soil and water from the human waste, urban a...

The novel approach to the intelligent greenhouse control is based on predictive thermal models and actuator action plans to increase control performance. As operating the actuators essentially changes the thermal dynamics, the overall thermal model is decomposed into sub-models based on the state of the actuators. For the intelligent control it is essential to know the actuator configuration to...

User groups identification is an important task in intelligent personalized information service. In this paper we proposed an intelligent information service model based on hierarchical clustering algorithms. There are two main works in this article: firstly, a vector models which can represent users' interests, preferences and emotional information is introduced. Secondly, a user groups cluste...

The emergence of two new technologies, namely software defined networking (SDN) and 5G networks, has greatly changed the development network functions topologies. These technologies provide cost benefits for mobile operators, a more flexible scalable network, shorter time to market services applications. Scalability effectiveness are increased when SDN used together. increases reliability by se...

Intelligent multimedia provides a basis as briefed here for designing intelligent multi-tier interfaces with agents and intelligent business objects with applications to intelligent WWW interfaces. Basic intelligent content management with multitier desings for interfaces are persented. The field of automated learning and discovery has obvious financial and organizational memory applications. T...

A cognitive model is a set of production rules or skills encoded in intelligent tutors to model how students solve problems. It is usually generated by brainstorming and iterative refinement between subject experts, cognitive scientists and programmers. In this paper we propose a semi-automated method for improving a cognitive model called Learning Factors Analysis that combines a statistical m...