An approach to predict from a data stream of real estate sales transactions based on ensembles of genetic fuzzy systems was presented. The proposed method relies on incremental expanding an ensemble by models built over successive chunks of a data stream. The output of aged component models produced for current data is updated according to a trend function reflecting the changes of premises pri...

Fuzzy systems are currently being used in a wide field of industrial and scientific applications. Therefore, it is necessary to have algorithms which construct and optimize such systems automatically. Since the idea of learning is being studied in other research areas like machine learning and data mining, some of the developed methods have been made available and optimized for the learning pro...

In underground tunnels or caverns, time-dependent deformation or failure of rock mass, such as extending cracks, gradual rock falls, etc., are a costly irritant and a major safety concern if the time-dependent damage of surrounding rock is serious. To understand the damage evolution of rock mass in underground engineering, an in situ experimental testing was carried out in a large belowground t...

Fuzzy systems of linear equations play a vital role in various applications of engineering, science and finance problems. This paper proposes a new method for solving Fully Fuzzy System of Linear Equations (FFSLE) using the linear programming problem approach. There is no restriction on the elements of coefficient matrix. The proposed method is able to solve the system, when the elements of the...

Fuzzy set theory which is a powerful tool for handling vague situations has advanced in a variety of ways and in many disciplines. Applications of this theory can be found in artificial intelligence, computer science, control engineering, decision theory, expert systems, logic, management science, operations research, pattern recognition and robotics. There have been a variety of fuzzy measures...

Rockburst is one of the major problems in rock underground engineering and mechanics. To make a risk assessment rockburst improve mine safety index, some evaluation systems for propensity have been proposed applied, progress has made study high-value mines single systems, but these are still immature deep low medium grade phosphate with more complex influencing factors. Therefore, to solve this...

One of the key outcomes of blasting in mines is found to be rock fragmentation which profoundly affects downstream expenses. In fact, size prediction of rock fragmentation is the first leap towards the optimization of blasting design parameters. This paper makes an attempt to present a model to predict rock fragmentation using Mutual Information (MI) in Meydook copper mine. Ten parameters are c...

I. The need for comparative evaluation of performance of different systems of fuzzy connectives in soft computing applications This paper continues our work on developing new methods and tools for comparative assessment of the adequacy of diierent many-valued implication operators and other fuzzy connectives. To deal with the problem of selecting the optimal fuzzy logic connectives, new methods...