A FS, say A, is characterized by its membership function y = m A (x) defined on the universal set of the discourse U and taking values in the interval [0, 1], thus assigning to each element x of U a membership degree m A (x) with respect to A. The closer is m A (x) to 1, the better x satisfies the characteristic property of A. A crisp subset of U is a FS in U with membership function its characteristic function.
Published in Chapter:
Use of Soft and Neutrosophic Sets for a Mathematical Representation of the Ethical Rules
Copyright: © 2023
|Pages: 19
DOI: 10.4018/978-1-6684-4740-6.ch005
Abstract
Soft and neutrosophic sets are used in this chapter as tools for introducing a multi-valued logic for ethics. The introduction of a multi-valued logic in ethics is not a new idea, but there is not any integrated proposal about this reported in the literature until now. The target is not to add another theory about ethics, but instead to create a new basis enabling a modern approach to the subject. The chapter starts by examining the role of human logic and statistical thinking for the creation and evolution of ethics. A brief historical account of the development of ethics follows with emphasis to the moral dilemmas, the existence of which motivates the application of a multi-valued logic. The basic information about fuzzy sets, fuzzy logic, soft sets, and neutrosophic sets, needed for the understanding of the rest of the chapter, are also presented before using soft and neutrosophic sets for a mathematical representation of the ethical rules and in extension of the moral theories.