Volume 23 (2026)
Volume 22 (2025)
Volume 21 (2024)
Volume 20 (2023)
Volume 19 (2022)
Volume 18 (2021)
Volume 17 (2020)
Volume 16 (2019)
Volume 15 (2018)
Volume 14 (2017)
Volume 13 (2016)
Volume 12 (2015)
Volume 11 (2014)
Volume 10 (2013)
Volume 9 (2012)
Volume 8 (2011)
Volume 7 (2010)
Volume 6 (2009)
Volume 5 (2008)
Volume 4 (2007)
Volume 3 (2006)
Volume 2 (2005)
Volume 1 (2004)
Number of Articles: 10
APPLICATION OF TABU SEARCH FOR SOLVING THE BI-OBJECTIVE WAREHOUSE PROBLEM IN A FUZZY ENVIRONMENT
Volume 9, Issue 1 , January and February 2012, Pages 1-19
Abstract
The bi-objective warehouse problem in a crisp environment is often not eective in dealing with the imprecision or vagueness in the values of the problem parameters. To deal with such situations, several researchers have proposed that the parameters be represented as fuzzy numbers. We describe a new algorithm ... Read MoreFUZZY GRAVITATIONAL SEARCH ALGORITHM AN APPROACH FOR DATA MINING
Volume 9, Issue 1 , January and February 2012, Pages 21-37
Abstract
The concept of intelligently controlling the search process of gravitational search algorithm (GSA) is introduced to develop a novel data mining technique. The proposed method is called fuzzy GSA miner (FGSA-miner). At first a fuzzy controller is designed for adaptively controlling the gravitational ... Read MoreA NEW APPROACH TO STABILITY ANALYSIS OF FUZZY RELATIONAL MODEL OF DYNAMIC SYSTEMS
Volume 9, Issue 1 , January and February 2012, Pages 39-48
Abstract
This paper investigates the stability analysis of fuzzy relational dynamic systems. A new approach is introduced and a set of sufficient conditions is derived which sustains the unique globally asymptotically stable equilibrium point in a first-order fuzzy relational dynamic system with sumproduct fuzzy ... Read MoreON SOLUTION OF A CLASS OF FUZZY BVPs
Volume 9, Issue 1 , January and February 2012, Pages 49-60
Abstract
This paper investigates the existence and uniqueness of solutions to rst-order nonlinear boundary value problems (BVPs) involving fuzzy dif- ferential equations and two-point boundary conditions. Some sucient condi- tions are presented that guarantee the existence and uniqueness of solutions under the ... Read MoreSECURING INTERPRETABILITY OF FUZZY MODELS FOR MODELING NONLINEAR MIMO SYSTEMS USING A HYBRID OF EVOLUTIONARY ALGORITHMS
Volume 9, Issue 1 , January and February 2012, Pages 61-77
Abstract
In this study, a Multi-Objective Genetic Algorithm (MOGA) is utilized to extract interpretable and compact fuzzy rule bases for modeling nonlinear Multi-input Multi-output (MIMO) systems. In the process of non- linear system identi cation, structure selection, parameter estimation, model performance ... Read MoreESTIMATORS BASED ON FUZZY RANDOM VARIABLES AND THEIR MATHEMATICAL PROPERTIES
Volume 9, Issue 1 , January and February 2012, Pages 79-95
Abstract
In statistical inference, the point estimation problem is very crucial and has a wide range of applications. When, we deal with some concepts such as random variables, the parameters of interest and estimates may be reported/observed as imprecise. Therefore, the theory of fuzzy sets plays an important ... Read MoreA NEW METHOD TO REDUCE TORQUE RIPPLE IN SWITCHED RELUCTANCE MOTOR USING FUZZY SLIDING MODE
Volume 9, Issue 1 , January and February 2012, Pages 97-108
Abstract
This paper presents a new control structure to reduce torque ripple in switched reluctance motor. Although SRM possesses many advantages in motor structure, it suers from large torque ripple that causes some problems such as vibration and acoustic noise. In this paper another control loop is added and ... Read MoreFUZZY SOFT MATRIX THEORY AND ITS APPLICATION IN DECISION MAKING
Volume 9, Issue 1 , January and February 2012, Pages 109-119
Abstract
In this work, we define fuzzy soft ($fs$) matrices and theiroperations which are more functional to make theoretical studies inthe $fs$-set theory. We then define products of $fs$-matrices andstudy their properties. We finally construct a $fs$-$max$-$min$decision making method which can be successfully ... Read MoreFUZZY LINEAR REGRESSION BASED ON LEAST ABSOLUTES DEVIATIONS
Volume 9, Issue 1 , January and February 2012, Pages 121-140
Abstract
This study is an investigation of fuzzy linear regression model for crisp/fuzzy input and fuzzy output data. A least absolutes deviations approach to construct such a model is developed by introducing and applying a new metric on the space of fuzzy numbers. The proposed approach, which can deal with ... Read MoreTRANSPORT ROUTE PLANNING MODELS BASED ON FUZZY APPROACH
Volume 9, Issue 1 , January and February 2012, Pages 141-158