Classification and construction of picture fuzzy topological spaces
Abdul Razaq, Harish Garg, Umer Shuaib

TL;DR
This paper introduces the concept of picture fuzzy topological spaces, establishing foundational results and methods for their construction, aiming to advance their theoretical development and applications in decision making.
Contribution
It is the first comprehensive study on picture fuzzy topological spaces, proposing new notions and a construction method for these spaces.
Findings
Established basic results on picture fuzzy sets
Introduced new notions like balanced and -ho-equivalent relations
Presented a method to construct picture fuzzy topological spaces
Abstract
This paper initiates the study of picture fuzzy topological spaces. In order to develop a mechanism to construct picture fuzzy topological spaces, we prove some basic results related to picture fuzzy sets together with the introduction of many new notions such as balanced and \r{ho}-equivalent relations on picture fuzzy sets. We also define the rank, picture fuzzy base and picture fuzzy sub-base of picture fuzzy topological spaces. With the help of these notions, we present a method to design picture fuzzy topological spaces, which is the main outcome of this work. To the best of our knowledge, this is the first serious attempt to study picture fuzzy topological spaces. It is hoped that, this study will provide a decent platform for further development of picture fuzzy topological spaces and their applications in decision making theory.
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Taxonomy
TopicsFuzzy and Soft Set Theory
