The paper presents difficulties connected with fuzzy and interval division. If operations such as fuzzy addition, subtraction and multiplication provide as a result one compact, multidimensional granule, then a result of the fuzzy division can consists of few separated granules. Such results are more difficult to use in next calculations. The paper shows that the number of solution granules can be higher than 2 and that in certain problems division does not occur explicitly. In certain problems, separation of particular solution granules can be considerable. The paper also shows how to realize the fuzzy division when its denominator contains zero. Most types of fuzzy arithmetics forbid such operation. However, the paper shows that it is pos...
The earliest and most paradigmatic examples for granular computing are the fuzzy control approaches ...
International audienceThis chapter is an overview of past and present works dealing with fuzzy inter...
Abstract: The fuzzy numbers arise in decision making, control theory, fuzzy systems and approximate ...
We analyse a decomposition of the fuzzy numbers (or intervals) which seems to be of interest in the ...
Granular computing is a problem solving paradigm based on information granules, which are conceptual...
The main goal of the paper is to propose and analyze a generalization of the Hukuhara difference to ...
This paper proposes an approach to derive fuzzy granules from numerical data. Granules are first for...
Abstract—A fuzzy number is simply an ordinary number whose precise value is somewhat uncertain. Fuzz...
The arithmetical and topological structures of fuzzy numbers have been developed in the 1980s and th...
Granular computing is an emerging computing theory and paradigm that deals with the processing of in...
This research article explores the diverse realm of fuzzy numbers, with a specific focus on defuzzif...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
AbstractFuzzy numbers have been introduced by Zadeh in order to deal with imprecise numerical quanti...
This chapter starts with an overview of basic concepts and results with fuzzy numbers and the corres...
Abstract: Some approximation methods have been proposed for fuzzy multiplication and division in the...
The earliest and most paradigmatic examples for granular computing are the fuzzy control approaches ...
International audienceThis chapter is an overview of past and present works dealing with fuzzy inter...
Abstract: The fuzzy numbers arise in decision making, control theory, fuzzy systems and approximate ...
We analyse a decomposition of the fuzzy numbers (or intervals) which seems to be of interest in the ...
Granular computing is a problem solving paradigm based on information granules, which are conceptual...
The main goal of the paper is to propose and analyze a generalization of the Hukuhara difference to ...
This paper proposes an approach to derive fuzzy granules from numerical data. Granules are first for...
Abstract—A fuzzy number is simply an ordinary number whose precise value is somewhat uncertain. Fuzz...
The arithmetical and topological structures of fuzzy numbers have been developed in the 1980s and th...
Granular computing is an emerging computing theory and paradigm that deals with the processing of in...
This research article explores the diverse realm of fuzzy numbers, with a specific focus on defuzzif...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
AbstractFuzzy numbers have been introduced by Zadeh in order to deal with imprecise numerical quanti...
This chapter starts with an overview of basic concepts and results with fuzzy numbers and the corres...
Abstract: Some approximation methods have been proposed for fuzzy multiplication and division in the...
The earliest and most paradigmatic examples for granular computing are the fuzzy control approaches ...
International audienceThis chapter is an overview of past and present works dealing with fuzzy inter...
Abstract: The fuzzy numbers arise in decision making, control theory, fuzzy systems and approximate ...