a real-time optimization (rto) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. furthermore, the objective function is penalized by a fuzzified form of the key process constraints. to enable using conventional optimization techniques, the resulting fuzzy optimization problem is then re...

one of the most effective tools for decline cost and time, quality improvement and consequently project performance enhancement especially in construction projects, is value engineering. there are linguistic judgments in many cases of value engineering studies in construction projects such as interior design, mechanical installations design, and etc. therefore multiple attribute decision-making...

This paper presents the simulation results for the fuzzy control of slow processes with or without dead time. Many results obtained by a lot of crisp and fuzzy control techniques for the error gain and (or) variation error in connection with the transient performances (settling time, rise time, overshoot etc.) are reported in the specialty literature. The fuzzy control techniques for the error ...

In recent years, the extraction of data from XML documents is an important issue for XML research and development. Fuzzy processing techniques have been proposed for flexible querying to Native XML Databases. We propose the fuzzy XQuery processing techniques for Native XML database systems, where the weights of attributes can be described by linguistic terms represented by fuzzy numbers. The pr...

Fuzzy techniques have been originally designed to describe imprecise (“fuzzy”) expert knowledge. Somewhat surprisingly, fuzzy techniques have also been successfully used in situations without expert knowledge, when all we have is data. In this paper, we explain this surprising phenomenon by showing that the need for optimal processing of data (including crisp data) naturally leads to fuzzy and ...

in this paper, chebyshev acceleration technique is used to solve the fuzzy linear system (fls). this method is discussed in details and followed by summary of some other acceleration techniques. moreover, we show that in some situations that the methods such as jacobi, gauss-sidel, sor and conjugate gradient is divergent, our proposed method is applicable and the acquired results are illustrate...

In many practical applications, we need to process data – e.g., to predict the future values of different quantities based on their current values. Often, the only information that we have about the current values comes from experts, and is described in informal (“fuzzy”) terms like “small”. To process such data, it is natural to use fuzzy techniques, techniques specifically designed by Lotfi Z...