Title
Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches
Document Type
Article
Department or Administrative Unit
Computer Science
Publication Date
7-24-2016
Abstract
The focus of this paper is to clarify the concepts of solutions in linear equations in interval, probabilistic and fuzzy sets setting for real word tasks. There is a fundamental difference between formal definitions of the solutions and physically meaningful concept of solution in applied tasks when equations have uncertain components. For instance, a formal definition of the solution in terms of Moore interval analysis can be completely irrelevant for solving a real world task. We show that formal definitions must follow meaningful concept of the solution in the real world. The paper proposed several formalized definitions of the concept of solution for the linear equations with uncertain components in the interval, probability and fuzzy sets term.
Recommended Citation
Kovalerchuk, B., & Kreinovich, V. (2016). Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 16463695. https://doi.org/10.1109/fuzz-ieee.2016.7737864
Journal
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Rights
Copyright © 2016, IEEE
Comments
Please note: This is the author’s version of a work. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). DOI: https://doi.org/10.1109/FUZZ-IEEE.2016.7737864