Introduction to Fuzzy Measures and Adjacent Fields. Part II. Fuzzy Measures:A Tool for Representing Uncertainty
نویسندگان
چکیده
منابع مشابه
Representing Fuzzy Numbers for Fuzzy Calculus
In this paper we illustrate the LU representation of fuzzy numbers and present an LU-fuzzy calculator, in order to explain the use of the LU-fuzzy model and to show the advantage of the parametrization. The model can be applied either in the level-cut or in generalized LR frames. The hand-like fuzzy calculator has been developed for the MSWindows platform and produces the basic fuzzy calculus: ...
متن کاملFuzzy relations, Possibility theory, Measures of uncertainty, Mathematical modeling.
A central aim of educational research in the area of mathematical modeling and applications is to recognize the attainment level of students at defined states of the modeling process. In this paper, we introduce principles of fuzzy sets theory and possibility theory to describe the process of mathematical modeling in the classroom. The main stages of the modeling process are represented as fuzz...
متن کاملFuzzy ARTMAP Based Neurocomputational Spatial Uncertainty Measures
This paper proposes non-parametric measures for the fuzzy ARTMAP computational neural network to handle spatial uncertainty in remotely sensed imagery classification, i.e., ART Commitment (ART-C) and ART Typicality (ART-T), expressing in the first case the degree of commitment a classifier has for each class for a specific pixel, and in the second case, how typical that pixel’s reflectances are...
متن کاملUncertainty measures for fuzzy relations and their applications
Relations and relation matrices are important concepts in set theory and intelligent computation. Some general uncertainty measures for fuzzy relations are proposed by generalizing Shannon’s information entropy. Then, the proposed measures are used to calculate the diversity quantity of multiple classifier systems and the granularity of granulated problem spaces, respectively. As a diversity me...
متن کاملUsing Fuzzy Measures of Uncertainty to Manage Complex Systems
A complex system usually encompasses agents, as they are known from modern Artificial Intelligence. Within the system dynamics, interactions between agents are affected by perturbations (uncertainty), which often make modeling difficult. This paper introduces a modeling approach based on a function that quantifies uncertainty: the fuzzy measure of ambiguity. A model based on ambiguity minimizat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
سال: 2008
ISSN: 1347-7986,1881-7203
DOI: 10.3156/jsoft.20.3_322