Emotional intelligence helps us to understand and manage our own emotions as well as other people’s emotions towards us. Social intelligence, on the other hand, concentrates on social situations like how we interact with other people and how well we understand them. And then there is systems intelligence. Systems intelligence considers that human action always takes place in systemic settings c...

Context: Characterization of instrumental effects in astronomical imaging is important in order to extract accurate physical information from the observations. The measured image in a real optical instrument is usually represented by the convolution of an ideal image with a Point Spread Function (PSF). Additionally, the image acquisition process is also contaminated by other sources of noise (r...

overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. in this study, two novel prediction models for overtaking behavior are proposed. these models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (manfis). they are validated at microscopic level and are able to simulate and predict the future...

permeability can be directly measured using cores taken from the reservoir in the laboratory. due to high cost associated with coring, cores are available in a limited number of wells in a field. many empirical models, statistical methods, and intelligent techniques were suggested to predict permeability in un-cored wells from easy-to-obtain and frequent data such as wireline logs. the main obj...

This paper presents the development of an Intelligent Cavity Layout Design System (ICLDS) for multiple cavity injection moulds. The system is intended to assist mould designers in cavity layout design at concept design stage. The complexities and principles of cavity layout design as well as various dependencies in injection mould design are introduced. The knowledge in cavity layout design is ...

Shale reserves have become an ever-increasing component of the world’s energy map. The optimal design multi-well multi-stage fracturing (MMF) treatments is essential to economic development such resources. However, optimizing MMF a complex process. It requires geomechanical simulation, reservoir and automatic optimization. In this work, integrated workflow proposed optimize in unconventional re...

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...

The paper deals with the problem of intelligent system’s design for complex environments. A possibility to integrate several technologies into one basic structure that could form a kernel of an intelligent system or intelligent agent has been discussed. An alternative structure is proposed in order to form the basis of an intelligent system that would be able to operate in complex environments....

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...