TL;DR
This paper introduces fuzzy categories, extending traditional category theory by incorporating plausibility degrees into morphisms, enabling the modeling of uncertain or imprecise relationships.
Contribution
It defines fuzzy categories with structures like fuzzy diagrams and objects, expanding the framework of category theory to handle fuzziness and uncertainty.
Findings
Fuzzy categories generalize classical categories with plausibility degrees.
Introduction of fuzzy commutative diagrams and objects.
Basic properties similar but not identical to classical categories.
Abstract
Since categories are graphs with additional "structure", one should start from fuzzy graphs in order to define a theory of fuzzy categories. Thus is makes sense to introduce categories whose morphisms are associated with a plausibility degree that determines to what extend it is possible to "go" from one object to another one. These categories are called {\em fuzzy categories}. Of course, the basic properties of these categories are similar but not identical to their ordinary counterparts. Thus, it is necessary to introduce notion like fuzzy commutative diagrams, fuzzy initial and fuzzy terminal objects, etc.
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Taxonomy
TopicsFuzzy Logic and Control Systems