Open AccessSoft Computing Under Uncertain Knowledge
Author(s) -
Gustavo SantosGarcía,
Rocio Santos-Buitrago
Publication year - 2022
Publication title -
journal of advances in applied and computational mathematics
Language(s) - English
Resource type - Journals
ISSN - 2409-5761
DOI - 10.15377/2409-5761.2021.08.1
Subject(s) - judgement , computer science , fuzzy set , set (abstract data type) , fuzzy logic , management science , artificial intelligence , soft set , set theory , knowledge management , cognitive science , epistemology , psychology , programming language , engineering , philosophy
The early publications in the theory of fuzzy sets by Zadeh and Goguen show the intention to generalize the classical notion of a set and to accommodate the fuzziness that is contained in human language, namely human judgement, evaluation, and decisions. This article aims to show several approaches that allow effective treatment of uncertain, inaccurate, or unknown knowledge. On the one hand, a brief review of the theoretical background for these different paradigms is provided. On the other hand, the different extensions of soft sets are justified in the application to decision making. We pay special attention to applications in the medical sciences and provide a study case for biological signaling pathways.