TL;DR
This paper introduces the concept of mappings on soft classes, explores their properties with examples, and applies these ideas to enhance medical diagnosis in expert systems.
Contribution
It defines mappings on soft classes, analyzes their properties, and demonstrates their application in medical diagnosis systems.
Findings
Properties of images and inverse images of soft sets are characterized.
Mappings on soft classes can improve decision-making in medical diagnosis.
Examples and counterexamples illustrate the theoretical concepts.
Abstract
In this paper, we define the notion of a mapping on soft classes and study several properties of images and inverse images of soft sets supported by examples and counterexamples. Finally, these notions have been applied to the problem of medical diagnosis in medical expert systems.
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Taxonomy
TopicsFuzzy and Soft Set Theory · Advanced Algebra and Logic · Rough Sets and Fuzzy Logic