Forthcoming articles

 


International Journal of Fuzzy Computation and Modelling

 

These articles have been peer-reviewed and accepted for publication in IJFCM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

 

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International Journal of Fuzzy Computation and Modelling (4 papers in press)

 

Regular Issues

 

  • A new computational method for solving fully fuzzy nonlinear matrix equations   Order a copy of this article
    by Raheleh Jafari, Ahmad Jafarian 
    Abstract: Since the uncertainty in parameters can be transformed into fuzzy set theory, fuzzy set and fuzzy system theory are good tools to deal with uncertainty systems. The popularity related to fuzzy nonlinear systems has always shown an upward trend, and also incorporated with wide spread applications in industries. The solutions of them are applied to analyze many engineering problems. Multi formulations and computational methodologies have been suggested to extract solution related to fuzzy nonlinear programming problems. However, In some cases the methods which have been utilized in order to find the solution of these problems involve greater complexity. On the basis of the mentioned reason, the current research work is intended towards introduction of a simple method for finding the fuzzy optimal solution related to fuzzy nonlinear issues. The main idea is on the basis of employing nonlinear system with equality constraints in order to find nonnegative fuzzy number matrixes X ̃,X ̃^2,,X ̃^n which satisfies A ̃X ̃+C ̃X ̃^2+⋯+E ̃X ̃^n=B ̃ where A ̃,C ̃,,E ̃ and B ̃ are n
    Keywords: Fuzzy solution; Fuzzy numbers; Fully fuzzy nonlinear system; Fully fuzzy matrix equations.

  • Implementation of Fuzzy-PID controller with Demand Response control to LFC Model in Real Time using Lab VIEW   Order a copy of this article
    by Vijaya Santhi Rajamahanthi, Srividya Devi P 
    Abstract: This paper presents real time simulation for single area power system with Demand Response (DR) to evaluate the performance of controller using LabVIEW. Here the mathematical model of LFC-DR for explorations is considered with external load disturbance are given in real time. In this, controller is checked non real time simulation environmental platform and transformed the controller into a real-time model controller, which is used for testing in real operating conditions. This simulation in real time provides a rapid solution for prototyping novel functions in different types of industrial processes and devices which are to be controlled in complex system. With the controller, simulation is carried out to monitor the results, i.e. the change in Frequency deviation, the response plots are obtained for 1% to 100% load disturbance. It shows better performance and superiority by using Fuzzy -PID Controller based LFC-DR single-area power system have over a classical controller under different operating scenarios
    Keywords: Load Frequency Control; Demand Response; Fuzzy Logic Control; Pad.

  • Application of fuzzy inference techniques in the production of Eco-friendly Aminoplast based modi ed resins for plywood panel industries   Order a copy of this article
    by Sanghamitra Dey, Dipak Kumar Jana, Pijush K. Khatua, Anupam Mukherjee 
    Abstract: Aminoplast based resins are the important and most widely used adhesive in plywoodrnpanel industries. Environmental concerns and higher cost of petroleum based resins have resulted inrnthe development of technologies to replace melamine partially by biomaterials for the manufacturingrnof resin adhesive. This paper presents the development of melamine, animal glue formaldehydernresin as exterior grade binder. About 25% to 30% melamine was substituted by animal glue andrnoptimized. Input variables included pressure, temperature, pH, percentage of melamine, animalrnglue and formalin of the polymerisation reactors. Different strength properties (tensile strength,rnglue shear strength, internal bond strength) are considered as output variables. Statistical datarnanalysis is performed with some sensitivity analyses via neural network. This technique for thernproduction of bio based wood adhesive is cost effective, eco-friendly and could be an ideal solutionrnof petroleum based non-biodegradable resin adhesives.
    Keywords: Adhesive; Fuzzy-logic; Fuzzy Inference System; Neural Network; Natural bio-based materials.

  • Availability of a Two-Unit Warm Standby System with Different Fuzzy Rayleigh Failure Rates   Order a copy of this article
    by Neama Temraz 
    Abstract: In the present paper, analysis of a two-unit warm standby system is introduced where the life and repair times are assumed to be fuzzy variables follow fuzzy Rayleigh distribution. Markov models are used to construct the mathematical model of the system. Analysis of the availability function of the model is introduced. A general expression for steady state availability is discussed. A numerical example is introduced for illustration.
    Keywords: Availability; steady state availability; warm standby system; Markov models; Rayleigh distribution; different failure rates; fuzzy numbers.