In this paper an alternative to the numerical modelling approach, namely the linguistic modelling approach, will be analysed. Apart from a brief presentation of the main elements of the approach, the major part of the paper is devoted to the analysis of the dynamic behaviour of the linguistic model. The most important issue in this analysis is the problem of convergency of the mode! to some stable state. This convergency problem is treated from the point of view of a fuzzy relation matrix. Analytical results concerning the powers of a fuzzy matrix and fuzzy eigenvectors are 0i~c:~g~ed
This book aims to assist social scientists to analyze their problems using fuzzy models. The basic a...
[[abstract]]This paper presents a system dynamics analysis based on the application of fuzzy arithme...
International audienceThis paper takes place in the computing with words framework where a unified m...
This paper is concerned with both the problems of quantitative and qualitative modelling of complex ...
Using linguistic variables to describe the behavior of a hybrid system, which consists of a discrete...
Nowadays, Linguistic Modeling is considered to be one of the most important areas of application for...
In this chapter, we deal with the identication of linguistic fuzzy models (or Mamdani fuzzy models) ...
Fuzzy logic is a logic of approximate reasoning, established by Lotfi Zadeh since 1965 in his work [...
Abstract In this report, different types of fuzzy models have been developed from linguistic equatio...
Linguistic equations are useful for taking into account non-linearity especially in multivariable ap...
In this paper the Input Output Inoperability Model (IIM) is extended in order to model perturbations...
System Dynamics techniques are used to study the dynamic behavior of a variety of complex systems. G...
In this paper we introduce a new class of fuzzy modifiers rs based on fuzzy relations. We apply them...
This paper will compare and contrast two apparently different approaches for representing linguistic...
In this contribution the authors propose, a technique of fuzzy modeling for an induction motor fed b...
This book aims to assist social scientists to analyze their problems using fuzzy models. The basic a...
[[abstract]]This paper presents a system dynamics analysis based on the application of fuzzy arithme...
International audienceThis paper takes place in the computing with words framework where a unified m...
This paper is concerned with both the problems of quantitative and qualitative modelling of complex ...
Using linguistic variables to describe the behavior of a hybrid system, which consists of a discrete...
Nowadays, Linguistic Modeling is considered to be one of the most important areas of application for...
In this chapter, we deal with the identication of linguistic fuzzy models (or Mamdani fuzzy models) ...
Fuzzy logic is a logic of approximate reasoning, established by Lotfi Zadeh since 1965 in his work [...
Abstract In this report, different types of fuzzy models have been developed from linguistic equatio...
Linguistic equations are useful for taking into account non-linearity especially in multivariable ap...
In this paper the Input Output Inoperability Model (IIM) is extended in order to model perturbations...
System Dynamics techniques are used to study the dynamic behavior of a variety of complex systems. G...
In this paper we introduce a new class of fuzzy modifiers rs based on fuzzy relations. We apply them...
This paper will compare and contrast two apparently different approaches for representing linguistic...
In this contribution the authors propose, a technique of fuzzy modeling for an induction motor fed b...
This book aims to assist social scientists to analyze their problems using fuzzy models. The basic a...
[[abstract]]This paper presents a system dynamics analysis based on the application of fuzzy arithme...
International audienceThis paper takes place in the computing with words framework where a unified m...